BULLET TRAJECTORY Print off the following set of instructio.docx
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BULLET TRAJECTORY Print off the following set of instructions. The file is attached Complete all parts, showing all work on the printed sheets - no other papers allowed. Take a picture of each sheet Due after 1 day and half .
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BUS310ASSIGNMENTImagine that you work for a company with an ag.docx
BUS310ASSIGNMENT
Imagine that you work for a company with an age diverse workforce. You have baby boomers working with millenials. Their backgrounds are different, and how they view work is different. This is causing some friction within the workforce. Before the tension escalates, you need to have a meeting to discuss the issue. Prepare a five to seven (5-7) slide PowerPoint presentation for your staff meeting that addresses this issue and proposes a solution.
Create a five to seven (5-7) slide PowerPoint presentation in which you:
1. Propose a solution that will relieve friction in your company’s age diverse workforce.
2. Format your assignment according to the following formatting requirements:
a. Format the PowerPoint presentation with headings on each slide and at least one (1) relevant graphic (photograph, graph, clip art, etc.). Ensure that the presentation is visually appealing and readable from up to 18 feet away. Check with your professor for any additional instructions.
b. Include a title slide containing the title of the assignment, your name, your professor’s name, the course title, and the date.
The specific course learning outcomes associated with this assignment are:
· Explain effective approaches to the broad spectrum of employee relations, including career development, fostering ethical behavior, discipline, labor relations, and dismissals.
· Use technology and information resources to research issues in human resource management.
· Write clearly and concisely about human resource management using proper writing mechanics.
Click here to view the grading rubric for this assignment.
Team Project Deliverable and Presentation
You team works for XYZ Company, which has a directional strategy focused on expanding the company through horizontal integration. Your team can determine the official name of the company and industry. The company does a great job keeping close watch on its cash position and consistently maintains a positive cash flow; is very solvent; controls its overhead expenses; has solid marketing and sales, production, and human resources performance metrics, and fosters a culture of strategic thinkers. Historically, your company has expanded through a combination of organic (new startups) and inorganic growth and feels it’s time to consider acquisition opportunities.
The Board is looking to engage in a friendly acquisition of a company that will not only increase its market share, but allow it to penetrate new markets and increase the company’s abilities to meet current and future consumer needs and expectations. Since management’s attitude is to pursue a friendly acquisition as opposed to a hostile takeover, your team may consider looking at conglomerates that have experienced significant growth through inorganic growth (acquisitions) and may now be looking to refocus on their core business and are willing to consider divesting some of its businesses that are within your industry. There could be other companies.
BUS357 Copyright © 2020 Singapore University of Social Science.docx
BUS357 Copyright © 2020 Singapore University of Social Sciences (SUSS) Page 1 of 11
ECA – January Semester 2020
BUS357
End-of-Course Assessment – January Semester 2020
Starting and Managing a Business
__________________________________________________________________________________________
INSTRUCTIONS TO STUDENTS:
1. This End-of-Course Assessment paper comprises ELEVEN (11) pages (including the
cover page).
2. You are to include the following particulars in your submission: Course Code, Title of the
ECA, SUSS PI No., Your Name, and Submission Date.
3. Late submission will be subjected to the marks deduction scheme. Please refer to the
Student Handbook for details.
IMPORTANT NOTE
ECA Submission Deadline: 09 March 2020, 12noon
BUS357 Copyright © 2020 Singapore University of Social Sciences (SUSS) Page 2 of 11
ECA – January Semester 2020
ECA Submission Guidelines
Please follow the submission instructions stated below:
A - What Must Be Submitted
You are required to submit the following THREE (3) items for marking and grading:
A Report (you should submit this item first as it carries the highest weightage).
A Video Presentation:
o SUSS conducts Hands-on workshop on how to record ECA video presentation for SBIZ
students every semester. Students will receive an invite to the workshop via Student
Portal, Canvas as well as email, a month before the ECA cut-off date.
o The ECA video recording and submission guides are also available as an external
links/downloads in the invite.
The set of PowerPoint slides, converted to PDF, upon which the video presentation is
based.
Please verify your submissions after you have submitted the above THREE (3) items.
B - Submission Deadline
The THREE (3) items of Report, Video and Presentation Summary are to be submitted by
12 noon on the submission deadline.
You are allowed multiple submissions till the cut-off date for each of the THREE (3) items.
Late submission of any of the THREE (3) items will be subjected to mark-deduction
scheme by the University. Please refer to Section 5.2 Para 2.4 of the Student Handbook.
C - How the (3) Items Should Be Submitted
The Report: submit online to Canvas via TurnItIn (for plagiarism detection)
The Video: submit online to Canvas (refer to workshop invite for the user guide)
The Presentation Summary:
o submit online to Canvas via TurnItIn (PPT must be converted to PDF and submission
is in PDF only)
o The PPT must contain at least 20 words
o Refer to workshop invite for the user guide
Avoid using a public WiFi connection for submitting large video files. If you are using
public wireless (WiFi) connection (e.g. SG Wireless at public areas), you might encounter
a break in the connection when sending large files.
BUS357 Copyright © 2020 Singapore University of Social Sciences (SUSS) Page 3 of 11
ECA – Janu.
BUS308 – Week 1 Lecture 2 Describing Data Expected Out.docx
BUS308 – Week 1 Lecture 2
Describing Data
Expected Outcomes
After reading this lecture, the student should be familiar with:
1. Basic descriptive statistics for data location
2. Basic descriptive statistics for data consistency
3. Basic descriptive statistics for data position
4. Basic approaches for describing likelihood
5. Difference between descriptive and inferential statistics
What this lecture covers
This lecture focuses on describing data and how these descriptions can be used in an
analysis. It also introduces and defines some specific descriptive statistical tools and results.
Even if we never become a data detective or do statistical tests, we will be exposed and
bombarded with statistics and statistical outcomes. We need to understand what they are telling
us and how they help uncover what the data means on the “crime,” AKA research question/issue.
How we obtain these results will be covered in lecture 1-3.
Detecting
In our favorite detective shows, starting out always seems difficult. They have a crime,
but no real clues or suspects, no idea of what happened, no “theory of the crime,” etc. Much as
we are at this point with our question on equal pay for equal work.
The process followed is remarkably similar across the different shows. First, a case or
situation presents itself. The heroes start by understanding the background of the situation and
those involved. They move on to collecting clues and following hints, some of which do not pan
out to be helpful. They then start to build relationships between and among clues and facts,
tossing out ideas that seemed good but lead to dead-ends or non-helpful insights (false leads,
etc.). Finally, a conclusion is reached and the initial question of “who done it” is solved.
Data analysis, and specifically statistical analysis, is done quite the same way as we will
see.
Descriptive Statistics
Week 1 Clues
We are interested in whether or not males and females are paid the same for doing equal
work. So, how do we go about answering this question? The “victim” in this question could be
considered the difference in pay between males and females, specifically when they are doing
equal work. An initial examination (Doc, was it murder or an accident?) involves obtaining
basic information to see if we even have cause to worry.
The first action in any analysis involves collecting the data. This generally involves
conducting a random sample from the population of employees so that we have a manageable
data set to operate from. In this case, our sample, presented in Lecture 1, gave us 25 males and
25 females spread throughout the company. A quick look at the sample by HR provided us with
assurance that the group looked representative of the company workforce we are concerned with
as a whole. Now we can confidently collect clues to see if we should be concerned or not.
As with any detective, the first issue is to understand the.
BUS308 – Week 5 Lecture 1 A Different View Expected Ou.docx
BUS308 – Week 5 Lecture 1
A Different View
Expected Outcomes
After reading this lecture, the student should be familiar with:
1. What a confidence interval for a statistic is.
2. What a confidence interval for differences is.
3. The difference between statistical and practical significance.
4. The meaning of an Effect Size measure.
Overview
Years ago, a comedy show used to introduce new skits with the phrase “and now for
something completely different.” That seems appropriate for this week’s material.
This week we will look at evaluating our data results in somewhat different ways. One of
the criticisms of the hypothesis testing procedure is that it only shows one value, when it is
reasonably clear that a number of different values would also cause us to reject or not reject a
null hypothesis of no difference. Many managers and researchers would like to see what these
values could be; and, in particular, what are the extreme values as help in making decisions.
Confidence intervals will help us here.
The other criticism of the hypothesis testing procedure is that we can “manage” the
results, or ensure that we will reject the null, by manipulating the sample size. For example, if
we have a difference in a customer preference between two products of only 1%, is this a big
deal? Given the uncertainty contained in sample results, we might tend to think that we can
safely ignore this result. However, if we were to use a sample of, say, 10,000, we would find
that this difference is statistically significant. This, for many, seems to fly in the face of
reasonableness. We will look at a measure of “practical significance,” meaning the likelihood of
the difference being worth paying any attention to, called the effect size to help us here.
Confidence Intervals
A confidence interval is a range of values that, based upon the sample results, most likely
contains the actual population parameter. The “most likely” element is the level of confidence
attached to the interval, 95% confidence interval, 90% confidence interval, 99% confidence
interval, etc. They can be created at any time, with or without performing a statistical test, such
as the t-test.
A confidence interval may be expressed as a range (45 to 51% of the town’s population
support the proposal) or as a mean or proportion with a margin of error (48% of the town
supports the proposal, with a margin of error of 3%). This last format is frequently seen with
opinion poll results, and simply means that you should add and subtract this margin of error from
the reported proportion to obtain the range. With either format, the confidence percent should
also be provided.
Confidence intervals for a single mean (or proportion) are fairly straightforward to
understand, and relate to t-test outcomes simply. Details on how to construct the interval will be
given in this week’s second lecture. We want to understand how to interpret and understa.
BUS308 – Week 1 Lecture 1 Statistics Expected Outcomes.docx
BUS308 – Week 1 Lecture 1
Statistics
Expected Outcomes
After reading this lecture, the student should be familiar with:
1. The basic ideas of data analysis.
2. Key statistical concepts and terms.
3. The basic approach for this class.
4. The case focus for the class.
What we are all about
Data, measurements, counts, etc., is often considered the language of business. However,
it also plays an important role in our personal lives as well. Data, or more accurately, the
analysis of data answers our questions. These may be business related or personal. Some
questions we may have heard that require data to answer include:
1. On average, how long does it take you to get to work? Or, alternately, when do you
have to leave to get to work on time?
2. For budget purposes, what is the average expense for utilities, food, etc.?
3. Has the quality rejection rate on production Line 3 changed?
4. Did the new attendance incentive program reduce the tardiness for the department?
5. Which vendor has the best average price for what we order?
6. Which customers have the most complaints about our products?
7. Has the average production time decreased with the new process?
8. Do different groups respond differently to an employee questionnaire?
9. What are the chances that a customer will complain about or return a product?
Note that all of these very reasonable questions require that we collect data, analyze it,
and reach some conclusion based upon that result.
Making Sense of Data
This class is about ways to turn data sets, lots of raw numbers, into information that we
can use. This may include simple descriptions of the data with measures such as average, range,
high and low values, etc. It also includes ways to examine the information within the data set so
that we can make decisions, identify patterns, and identify existing relationships. This is often
called data analysis; some courses discuss this approach with the term “data-based decision
making.” During this class we will focus on the logic of analyzing data and interpreting these
results.
What this class is not
This class is not a mathematics course. I know, it is called statistics and it deals with
numbers, but we do not focus on creating formulas or even doing calculations. Excel will do all
of the calculations for us; for those of you who have not used Excel before, and even for some
who have, you will be pleasantly surprised at how powerful and relatively easy to use it is.
It is also not a class in collecting the data. Courses in research focus on how to plan on
collecting data so that it is fair and unbiased. Statistics deals with working on the data after it has
been collected.
Class structure
There are two main themes to this class. The first focuses on interpreting statistical
outcomes. When someone says, the result is statistically significant with a p-value of 0.01; we
need, as professionals, to know what it means. .
BUS308 Statistics for ManagersDiscussions To participate in .docx
BUS308
Statistics for Managers
Discussions
To participate in the following discussions, go to this week's
Discussion
link in the left navigation.
Language
Numbers and measurements are the language of business.. Organizations look at results, expenses, quality levels, efficiencies, time, costs, etc. What measures does your department keep track of ? How are the measures collected, and how are they summarized/described? How are they used in making decisions? (Note: If you do not have a job where measures are available to you, ask someone you know for some examples or conduct outside research on an interest of yours.)
Guided Response: Review several of your classmates’ posts. Respond to at least two of your classmates by providing recommendations for the measures being discussed.
Levels
Managers and professionals often pay more attention to the levels of their measures (means, sums, etc.) than to the variation in the data (the dispersion or the probability patterns/distributions that describe the data). For the measures you identified in Discussion 1, why must dispersion be considered to truly understand what the data is telling us about what we measure/track? How can we make decisions about outcomes and results if we do not understand the consistency (variation) of the data? Does looking at the variation in the data give us a different understanding of results?
Guided Response: Review several of your classmates’ posts. Respond to at least two classmates by commenting on the situations that are being illustrated.
.
BUS308 Week 4 Lecture 1 Examining Relationships Expect.docx
BUS308 Week 4 Lecture 1
Examining Relationships
Expected Outcomes
After reading this lecture, the student should be familiar with:
1. Issues around correlation
2. The basics of Correlation analysis
3. The basics of Linear Regression
4. The basics of the Multiple Regression
Overview
Often in our detective shows when the clues are not providing a clear answer – such as
we are seeing with the apparent continuing contradiction between the compa-ratio and salary
related results – we hear the line “maybe we need to look at this from a different viewpoint.”
That is what we will be doing this week.
Our investigation changes focus a bit this week. We started the class by finding ways to
describe and summarize data sets – finding measures of the center and dispersion of the data with
means, medians, standard deviations, ranges, etc. As interesting as these clues were, they did not
tell us all we needed to know to solve our question about equal work for equal pay. In fact, the
evidence was somewhat contradictory depending upon what measure we focused on. In Weeks 2
and 3, we changed our focus to asking questions about differences and how important different
sample outcomes were. We found that all differences were not important, and that for many
relatively small result differences we could safely ignore them for decision making purposes –
they were due to simple sampling (or chance) errors. We found that this idea of sampling error
could extend into work and individual performance outcomes observed over time; and that over-
reacting to such differences did not make much sense.
Now, in our continuing efforts to detect and uncover what the data is hiding from us, we
change focus again as we start to find out why something happened, what caused the data to act
as it did; rather than merely what happened (describing the data as we have been doing). This
week we move from examining differences to looking at relationships; that is, if some measure
changes does another measure change as well? And, if so, can we use this information to make
predictions and/or understand what underlies this common movement?
Our tools in doing this involve correlation, the measurement of how closely two
variables move together; and regression, an equation showing the impact of inputs on a final
output. A regression is similar to a recipe for a cake or other food dish; take a bit of this and
some of that, put them together, and we get our result.
Correlation
We have seen correlations a lot, and probably have even used them (formally or
informally). We know, for example, that all other things being equal; the more we eat. the more
we weigh. Kids, up to the early teens, grow taller the older they get. If we consistently speed,
we will get more speeding tickets than those who obey the speed limit. The more efforts we put
into studying, the better grades we get. All of these are examples of correlations.
Correlatio.
BUS225 Group Assignment1. Service BlueprintCustomer acti.docx
BUS225 Group Assignment
1. Service Blueprint
Customer actions include the choice of visiting a Calvin Klein retail store, browsing clothes and asking for recommendations from a sales representative. Visible actions performed by Calvin Klein’s sales representative include greet customers upon arrival, check for inventory, bring clothes to customers and process payment. These actions are visible to customers and one invisible action performed by the sales representative would be finding customer clothes in the back room. The support processes include inventory-tracking system, inventory in the back room and POS systems, which allow the sales representative to deliver service smoothly.
2. Introduction
Calvin Klein is one amongst the leading fashion style and marketing studios within the world. It styles and markets women’s and men’s designer assortment attire and a variety of different products that area unit factory-made and marketed through an intensive network of licensing agreements and different arrangements worldwide.
2.1 Target Market
Calvin Klein targets male and female, and the millenials. The demographics of the people that would be receiving these messages from the “My Calvins” campaign would be men and women between the ages of 15-30, not married and have a median income.
Millenials believe that the next generation of robots are not going to replace people, but instead help to improve the effectiveness and service of industries. In today’s world, to suggest that automation will eliminate the need for human workers is proving to be as ridiculous as suggesting that tablets will replace laptops.
In the industrial world, robot design is pivoting from giant mechanical arms that take up factory floors, to smaller, more collaborative bots, that are designed to work alongside people. While these collaborative bots only make up 3% of the market today, they will make up 34% of the market by 2025.
3. Trend and importance of robotics
3.1. Role of robotics
The service sector is at an inflection point with regard to productivity gains and service industrialization similar to the industrial revolution in manufacturing that started in the eighteenth century. Robotics in combination with rapidly improving technologies like artificial intelligence (AI), mobile, cloud, big data and biometrics will bring opportunities for a wide range of innovations that have the potential to dramatically change service industries. The purpose of this paper is to explore the potential role service robots will play in the future and to advance a research agenda for service researchers (Wirtz et al. 2018).
Advancements in technology are radically transforming service, and increasingly providing the underlying basis for service strategy. Technological capabilities inevitably advance, firms will tend to move from standardized to personalized and from transactional to relational over time, implying that firms should be alert to technological opportunities to .
Recommended
BUS310ASSIGNMENTImagine that you work for a company with an ag.docx
BUS310ASSIGNMENT
Imagine that you work for a company with an age diverse workforce. You have baby boomers working with millenials. Their backgrounds are different, and how they view work is different. This is causing some friction within the workforce. Before the tension escalates, you need to have a meeting to discuss the issue. Prepare a five to seven (5-7) slide PowerPoint presentation for your staff meeting that addresses this issue and proposes a solution.
Create a five to seven (5-7) slide PowerPoint presentation in which you:
1. Propose a solution that will relieve friction in your company’s age diverse workforce.
2. Format your assignment according to the following formatting requirements:
a. Format the PowerPoint presentation with headings on each slide and at least one (1) relevant graphic (photograph, graph, clip art, etc.). Ensure that the presentation is visually appealing and readable from up to 18 feet away. Check with your professor for any additional instructions.
b. Include a title slide containing the title of the assignment, your name, your professor’s name, the course title, and the date.
The specific course learning outcomes associated with this assignment are:
· Explain effective approaches to the broad spectrum of employee relations, including career development, fostering ethical behavior, discipline, labor relations, and dismissals.
· Use technology and information resources to research issues in human resource management.
· Write clearly and concisely about human resource management using proper writing mechanics.
Click here to view the grading rubric for this assignment.
Team Project Deliverable and Presentation
You team works for XYZ Company, which has a directional strategy focused on expanding the company through horizontal integration. Your team can determine the official name of the company and industry. The company does a great job keeping close watch on its cash position and consistently maintains a positive cash flow; is very solvent; controls its overhead expenses; has solid marketing and sales, production, and human resources performance metrics, and fosters a culture of strategic thinkers. Historically, your company has expanded through a combination of organic (new startups) and inorganic growth and feels it’s time to consider acquisition opportunities.
The Board is looking to engage in a friendly acquisition of a company that will not only increase its market share, but allow it to penetrate new markets and increase the company’s abilities to meet current and future consumer needs and expectations. Since management’s attitude is to pursue a friendly acquisition as opposed to a hostile takeover, your team may consider looking at conglomerates that have experienced significant growth through inorganic growth (acquisitions) and may now be looking to refocus on their core business and are willing to consider divesting some of its businesses that are within your industry. There could be other companies.
BUS357 Copyright © 2020 Singapore University of Social Science.docx
BUS357 Copyright © 2020 Singapore University of Social Sciences (SUSS) Page 1 of 11
ECA – January Semester 2020
BUS357
End-of-Course Assessment – January Semester 2020
Starting and Managing a Business
__________________________________________________________________________________________
INSTRUCTIONS TO STUDENTS:
1. This End-of-Course Assessment paper comprises ELEVEN (11) pages (including the
cover page).
2. You are to include the following particulars in your submission: Course Code, Title of the
ECA, SUSS PI No., Your Name, and Submission Date.
3. Late submission will be subjected to the marks deduction scheme. Please refer to the
Student Handbook for details.
IMPORTANT NOTE
ECA Submission Deadline: 09 March 2020, 12noon
BUS357 Copyright © 2020 Singapore University of Social Sciences (SUSS) Page 2 of 11
ECA – January Semester 2020
ECA Submission Guidelines
Please follow the submission instructions stated below:
A - What Must Be Submitted
You are required to submit the following THREE (3) items for marking and grading:
A Report (you should submit this item first as it carries the highest weightage).
A Video Presentation:
o SUSS conducts Hands-on workshop on how to record ECA video presentation for SBIZ
students every semester. Students will receive an invite to the workshop via Student
Portal, Canvas as well as email, a month before the ECA cut-off date.
o The ECA video recording and submission guides are also available as an external
links/downloads in the invite.
The set of PowerPoint slides, converted to PDF, upon which the video presentation is
based.
Please verify your submissions after you have submitted the above THREE (3) items.
B - Submission Deadline
The THREE (3) items of Report, Video and Presentation Summary are to be submitted by
12 noon on the submission deadline.
You are allowed multiple submissions till the cut-off date for each of the THREE (3) items.
Late submission of any of the THREE (3) items will be subjected to mark-deduction
scheme by the University. Please refer to Section 5.2 Para 2.4 of the Student Handbook.
C - How the (3) Items Should Be Submitted
The Report: submit online to Canvas via TurnItIn (for plagiarism detection)
The Video: submit online to Canvas (refer to workshop invite for the user guide)
The Presentation Summary:
o submit online to Canvas via TurnItIn (PPT must be converted to PDF and submission
is in PDF only)
o The PPT must contain at least 20 words
o Refer to workshop invite for the user guide
Avoid using a public WiFi connection for submitting large video files. If you are using
public wireless (WiFi) connection (e.g. SG Wireless at public areas), you might encounter
a break in the connection when sending large files.
BUS357 Copyright © 2020 Singapore University of Social Sciences (SUSS) Page 3 of 11
ECA – Janu.
BUS308 – Week 1 Lecture 2 Describing Data Expected Out.docx
BUS308 – Week 1 Lecture 2
Describing Data
Expected Outcomes
After reading this lecture, the student should be familiar with:
1. Basic descriptive statistics for data location
2. Basic descriptive statistics for data consistency
3. Basic descriptive statistics for data position
4. Basic approaches for describing likelihood
5. Difference between descriptive and inferential statistics
What this lecture covers
This lecture focuses on describing data and how these descriptions can be used in an
analysis. It also introduces and defines some specific descriptive statistical tools and results.
Even if we never become a data detective or do statistical tests, we will be exposed and
bombarded with statistics and statistical outcomes. We need to understand what they are telling
us and how they help uncover what the data means on the “crime,” AKA research question/issue.
How we obtain these results will be covered in lecture 1-3.
Detecting
In our favorite detective shows, starting out always seems difficult. They have a crime,
but no real clues or suspects, no idea of what happened, no “theory of the crime,” etc. Much as
we are at this point with our question on equal pay for equal work.
The process followed is remarkably similar across the different shows. First, a case or
situation presents itself. The heroes start by understanding the background of the situation and
those involved. They move on to collecting clues and following hints, some of which do not pan
out to be helpful. They then start to build relationships between and among clues and facts,
tossing out ideas that seemed good but lead to dead-ends or non-helpful insights (false leads,
etc.). Finally, a conclusion is reached and the initial question of “who done it” is solved.
Data analysis, and specifically statistical analysis, is done quite the same way as we will
see.
Descriptive Statistics
Week 1 Clues
We are interested in whether or not males and females are paid the same for doing equal
work. So, how do we go about answering this question? The “victim” in this question could be
considered the difference in pay between males and females, specifically when they are doing
equal work. An initial examination (Doc, was it murder or an accident?) involves obtaining
basic information to see if we even have cause to worry.
The first action in any analysis involves collecting the data. This generally involves
conducting a random sample from the population of employees so that we have a manageable
data set to operate from. In this case, our sample, presented in Lecture 1, gave us 25 males and
25 females spread throughout the company. A quick look at the sample by HR provided us with
assurance that the group looked representative of the company workforce we are concerned with
as a whole. Now we can confidently collect clues to see if we should be concerned or not.
As with any detective, the first issue is to understand the.
BUS308 – Week 5 Lecture 1 A Different View Expected Ou.docx
BUS308 – Week 5 Lecture 1
A Different View
Expected Outcomes
After reading this lecture, the student should be familiar with:
1. What a confidence interval for a statistic is.
2. What a confidence interval for differences is.
3. The difference between statistical and practical significance.
4. The meaning of an Effect Size measure.
Overview
Years ago, a comedy show used to introduce new skits with the phrase “and now for
something completely different.” That seems appropriate for this week’s material.
This week we will look at evaluating our data results in somewhat different ways. One of
the criticisms of the hypothesis testing procedure is that it only shows one value, when it is
reasonably clear that a number of different values would also cause us to reject or not reject a
null hypothesis of no difference. Many managers and researchers would like to see what these
values could be; and, in particular, what are the extreme values as help in making decisions.
Confidence intervals will help us here.
The other criticism of the hypothesis testing procedure is that we can “manage” the
results, or ensure that we will reject the null, by manipulating the sample size. For example, if
we have a difference in a customer preference between two products of only 1%, is this a big
deal? Given the uncertainty contained in sample results, we might tend to think that we can
safely ignore this result. However, if we were to use a sample of, say, 10,000, we would find
that this difference is statistically significant. This, for many, seems to fly in the face of
reasonableness. We will look at a measure of “practical significance,” meaning the likelihood of
the difference being worth paying any attention to, called the effect size to help us here.
Confidence Intervals
A confidence interval is a range of values that, based upon the sample results, most likely
contains the actual population parameter. The “most likely” element is the level of confidence
attached to the interval, 95% confidence interval, 90% confidence interval, 99% confidence
interval, etc. They can be created at any time, with or without performing a statistical test, such
as the t-test.
A confidence interval may be expressed as a range (45 to 51% of the town’s population
support the proposal) or as a mean or proportion with a margin of error (48% of the town
supports the proposal, with a margin of error of 3%). This last format is frequently seen with
opinion poll results, and simply means that you should add and subtract this margin of error from
the reported proportion to obtain the range. With either format, the confidence percent should
also be provided.
Confidence intervals for a single mean (or proportion) are fairly straightforward to
understand, and relate to t-test outcomes simply. Details on how to construct the interval will be
given in this week’s second lecture. We want to understand how to interpret and understa.
BUS308 – Week 1 Lecture 1 Statistics Expected Outcomes.docx
BUS308 – Week 1 Lecture 1
Statistics
Expected Outcomes
After reading this lecture, the student should be familiar with:
1. The basic ideas of data analysis.
2. Key statistical concepts and terms.
3. The basic approach for this class.
4. The case focus for the class.
What we are all about
Data, measurements, counts, etc., is often considered the language of business. However,
it also plays an important role in our personal lives as well. Data, or more accurately, the
analysis of data answers our questions. These may be business related or personal. Some
questions we may have heard that require data to answer include:
1. On average, how long does it take you to get to work? Or, alternately, when do you
have to leave to get to work on time?
2. For budget purposes, what is the average expense for utilities, food, etc.?
3. Has the quality rejection rate on production Line 3 changed?
4. Did the new attendance incentive program reduce the tardiness for the department?
5. Which vendor has the best average price for what we order?
6. Which customers have the most complaints about our products?
7. Has the average production time decreased with the new process?
8. Do different groups respond differently to an employee questionnaire?
9. What are the chances that a customer will complain about or return a product?
Note that all of these very reasonable questions require that we collect data, analyze it,
and reach some conclusion based upon that result.
Making Sense of Data
This class is about ways to turn data sets, lots of raw numbers, into information that we
can use. This may include simple descriptions of the data with measures such as average, range,
high and low values, etc. It also includes ways to examine the information within the data set so
that we can make decisions, identify patterns, and identify existing relationships. This is often
called data analysis; some courses discuss this approach with the term “data-based decision
making.” During this class we will focus on the logic of analyzing data and interpreting these
results.
What this class is not
This class is not a mathematics course. I know, it is called statistics and it deals with
numbers, but we do not focus on creating formulas or even doing calculations. Excel will do all
of the calculations for us; for those of you who have not used Excel before, and even for some
who have, you will be pleasantly surprised at how powerful and relatively easy to use it is.
It is also not a class in collecting the data. Courses in research focus on how to plan on
collecting data so that it is fair and unbiased. Statistics deals with working on the data after it has
been collected.
Class structure
There are two main themes to this class. The first focuses on interpreting statistical
outcomes. When someone says, the result is statistically significant with a p-value of 0.01; we
need, as professionals, to know what it means. .
BUS308 Statistics for ManagersDiscussions To participate in .docx
BUS308
Statistics for Managers
Discussions
To participate in the following discussions, go to this week's
Discussion
link in the left navigation.
Language
Numbers and measurements are the language of business.. Organizations look at results, expenses, quality levels, efficiencies, time, costs, etc. What measures does your department keep track of ? How are the measures collected, and how are they summarized/described? How are they used in making decisions? (Note: If you do not have a job where measures are available to you, ask someone you know for some examples or conduct outside research on an interest of yours.)
Guided Response: Review several of your classmates’ posts. Respond to at least two of your classmates by providing recommendations for the measures being discussed.
Levels
Managers and professionals often pay more attention to the levels of their measures (means, sums, etc.) than to the variation in the data (the dispersion or the probability patterns/distributions that describe the data). For the measures you identified in Discussion 1, why must dispersion be considered to truly understand what the data is telling us about what we measure/track? How can we make decisions about outcomes and results if we do not understand the consistency (variation) of the data? Does looking at the variation in the data give us a different understanding of results?
Guided Response: Review several of your classmates’ posts. Respond to at least two classmates by commenting on the situations that are being illustrated.
.
BUS308 Week 4 Lecture 1 Examining Relationships Expect.docx
BUS308 Week 4 Lecture 1
Examining Relationships
Expected Outcomes
After reading this lecture, the student should be familiar with:
1. Issues around correlation
2. The basics of Correlation analysis
3. The basics of Linear Regression
4. The basics of the Multiple Regression
Overview
Often in our detective shows when the clues are not providing a clear answer – such as
we are seeing with the apparent continuing contradiction between the compa-ratio and salary
related results – we hear the line “maybe we need to look at this from a different viewpoint.”
That is what we will be doing this week.
Our investigation changes focus a bit this week. We started the class by finding ways to
describe and summarize data sets – finding measures of the center and dispersion of the data with
means, medians, standard deviations, ranges, etc. As interesting as these clues were, they did not
tell us all we needed to know to solve our question about equal work for equal pay. In fact, the
evidence was somewhat contradictory depending upon what measure we focused on. In Weeks 2
and 3, we changed our focus to asking questions about differences and how important different
sample outcomes were. We found that all differences were not important, and that for many
relatively small result differences we could safely ignore them for decision making purposes –
they were due to simple sampling (or chance) errors. We found that this idea of sampling error
could extend into work and individual performance outcomes observed over time; and that over-
reacting to such differences did not make much sense.
Now, in our continuing efforts to detect and uncover what the data is hiding from us, we
change focus again as we start to find out why something happened, what caused the data to act
as it did; rather than merely what happened (describing the data as we have been doing). This
week we move from examining differences to looking at relationships; that is, if some measure
changes does another measure change as well? And, if so, can we use this information to make
predictions and/or understand what underlies this common movement?
Our tools in doing this involve correlation, the measurement of how closely two
variables move together; and regression, an equation showing the impact of inputs on a final
output. A regression is similar to a recipe for a cake or other food dish; take a bit of this and
some of that, put them together, and we get our result.
Correlation
We have seen correlations a lot, and probably have even used them (formally or
informally). We know, for example, that all other things being equal; the more we eat. the more
we weigh. Kids, up to the early teens, grow taller the older they get. If we consistently speed,
we will get more speeding tickets than those who obey the speed limit. The more efforts we put
into studying, the better grades we get. All of these are examples of correlations.
Correlatio.
BUS225 Group Assignment1. Service BlueprintCustomer acti.docx
BUS225 Group Assignment
1. Service Blueprint
Customer actions include the choice of visiting a Calvin Klein retail store, browsing clothes and asking for recommendations from a sales representative. Visible actions performed by Calvin Klein’s sales representative include greet customers upon arrival, check for inventory, bring clothes to customers and process payment. These actions are visible to customers and one invisible action performed by the sales representative would be finding customer clothes in the back room. The support processes include inventory-tracking system, inventory in the back room and POS systems, which allow the sales representative to deliver service smoothly.
2. Introduction
Calvin Klein is one amongst the leading fashion style and marketing studios within the world. It styles and markets women’s and men’s designer assortment attire and a variety of different products that area unit factory-made and marketed through an intensive network of licensing agreements and different arrangements worldwide.
2.1 Target Market
Calvin Klein targets male and female, and the millenials. The demographics of the people that would be receiving these messages from the “My Calvins” campaign would be men and women between the ages of 15-30, not married and have a median income.
Millenials believe that the next generation of robots are not going to replace people, but instead help to improve the effectiveness and service of industries. In today’s world, to suggest that automation will eliminate the need for human workers is proving to be as ridiculous as suggesting that tablets will replace laptops.
In the industrial world, robot design is pivoting from giant mechanical arms that take up factory floors, to smaller, more collaborative bots, that are designed to work alongside people. While these collaborative bots only make up 3% of the market today, they will make up 34% of the market by 2025.
3. Trend and importance of robotics
3.1. Role of robotics
The service sector is at an inflection point with regard to productivity gains and service industrialization similar to the industrial revolution in manufacturing that started in the eighteenth century. Robotics in combination with rapidly improving technologies like artificial intelligence (AI), mobile, cloud, big data and biometrics will bring opportunities for a wide range of innovations that have the potential to dramatically change service industries. The purpose of this paper is to explore the potential role service robots will play in the future and to advance a research agenda for service researchers (Wirtz et al. 2018).
Advancements in technology are radically transforming service, and increasingly providing the underlying basis for service strategy. Technological capabilities inevitably advance, firms will tend to move from standardized to personalized and from transactional to relational over time, implying that firms should be alert to technological opportunities to .
BUS301 Memo Rubric Spring 2020 - Student.docxBUS301 Writing Ru.docx
BUS301 Memo Rubric Spring 2020 - Student.docx
BUS301 Writing Rubric
Performance Dimensions
N/A
Not Met
Met
Comments
Organization (OABC)
Opening gets attention, provides context, and introduces topic
0
1
Agenda previews content of the document
0
1
Body
0
2
Sound paragraphing decisions (length and development)
Paragraphs limited to one topic per paragraph
Complete discussion of one topic before moving to next topic
Transitions and flow between paragraphs smooth
The overall flow/logic/structure of document is apparent
Closing summarizes and concludes, recommends, if appropriate
0
1
Content
The content of the document is relevant; information meaningful
0
2
The document is developed with adequate support and examples
0
2
The content is accurate and appropriate, with insightful analysis
0
2
Proofreading
The grammar and spelling are correct (proofread)
0
3
Punctuation—comma usage, capitalization, etc.—used correctly
0
3
The sentence structure and length are appropriate
0
1
Format
Appropriate formatting is used for type of document written
0
1
Good use of font, margins, spacing, headings, and visuals
0
1
[11/2016]
Example - Good - Corrected student example Spring 2020.docx
TO: Professor __________
FROM: Suzy Student
DATE: February 1, 2020
SUBJECT: Out of Class Experience – Cybersecurity Conference
Cybersecurity is a topic everyone should be concerned about, so I attended the 3rd Annual Cybersecurity Event held in the Grawn Atrium. I gained insight and knowledge from listening to the speakers that came from different kinds of industries. In this memo, I will discuss what I learned from the speaker and two takeaways: 1) cybersecurity is everywhere, 2) personal identifiable information, and 3) cybersecurity for the business student.
Cybersecurity is Everywhere
The conference was an opportunity to learn about cybersecurity. The first speaker talked about how companies are attacked in many different ways every day. The “bad guys” are trying to steal company information as well as employee information. Both kinds of information are valuable on the black market. The second speaker talked about the internet of things (IoT). These are things that are attached to the internet. The speaker talked about autonomous cars and medical equipment (heart) that talks to the internet. She talked about how cyber can and should influence designs. “Things” must be created with cybersecurity included in every step of the design. The last speaker talked about how my information has value. The “bad guys” steal my information and people want to buy it. Making money is one reason hackers steal millions of records.
Personal Identifiable Information
Personal Identifiable Information (PII) is any information relating to an identifiable person. There are laws in place to help make sure this information is secure. This topic is a takeaway for me because I had no idea my data had any value t.
BUS1431Introduction and PreferencesBUS143 Judgmen.docx
BUS143
1
Introduction and Preferences
BUS143: Judgment and Decision Making
Ye Li
All rights reserved ®
Why you decided to take this class
“Decisions are the essence of
management. They’re what
managers do—sit around all
day making (or avoiding)
decisions. Managers are judged
on the outcomes, and most of
them—most of us—have only
the foggiest idea how we do
what we do.”
Thomas Stewart
Former editor (2002-2008),
Harvard Business Review
BUS143
2
Decision Making: Two Questions
• Why is decision making difficult?
• What constitutes a good decision?
Decision Making: Good Process
• What is a decision?
– A costly commitment to a course of action.
• Outcomes versus Process
Outcomes
Good Bad
Process
Good
Bad
Bad “luck”
Good “luck”
BUS143
3
Components of a Good Decision
• I have considered my ABCs
– Alternatives
– Beliefs
– Consequences
• I am devoting an appropriate amount of
resources
• I have avoided major decision traps
Decision Making Components: The ABCs
• Alternatives
– Identification and articulation
– Construction/refinement
• Beliefs
– Identification and quantification of uncertainties
– Information collection/gathering
• Consequences
– Identification of consequences (and objectives
addressed by consequences)
– When possible, quantification of tradeoffs among
objectives
BUS143
4
Decision Making: Good Process
• Putting it all together (for now)…
Good decision making is choosing the
alternative that best meets your objectives
in the face of uncertainty about what
consequences will ensue.
3 Perspectives on Decision Making
• Normative
– How should people make decisions?
Related concepts: rational; optimizing; forward-looking
• Descriptive
– How do people make decisions?
Related concepts: boundedly rational; limited cognitive capacity;
heuristics or rule-based; myopic
• Prescriptive
– How can we help people make better decisions?
– Prescriptive advice via practical applications, in…
Management
Marketing
Finance
HR
Life!
BUS143
5
Example
• Problem
– Imagine two 1-mile-long (1.61km) pieces of railroad track, put
end to end, and attached to the ground at the extremes.
When it gets hot, each piece of track expands by 1 inch
(2.54cm), forcing the pieces to rise above the ground where
they meet in the middle.
How high will the track be in the middle?
• Normative rule:
– Pythagorean Theorem:
• Descriptive reality:
– Most people underestimate x. (We anchor on 1 inch.)
• Prescription:
– Use normative rule (geometry). Don’t rely on intuition.
More Examples
• Normative rule:
– Lighter objects should
be judged as lighter.
• Descriptive reality:
– Sometimes our vision
tricks us.
• Prescription:
– Use an outside reference
or instrument
– Note: Pilots have specific
strategies for
counteracting visual
illusions
Which box looks lighter?
BUS143
6
Class Philosophy
• Overarching goal:
– Help you to.
BUS210 analysis – open question codesQ7a01 Monthly OK02 Not .docx
BUS210 analysis – open question codes
Q7a
01 Monthly OK
02 Not trading hours
03 Every 2 weeks
05 Don’t know
Q8
01 More information wanted
02 More security/Police
03 More involvement from business
04 Inconvenient times
05 Street activation needs improvement
06 Too busy to be involved
08 More outside main areas
Q11
01 Toilets
02 Security/Police
03 Problems with access
04 Better parking needed
05 Has been positive improvement
Q14
01 Pedestrian flows
02 Tourist/visitor information
03 Business statistics – local and general
D2 Business Types
01 Accommodation/hospitality
02 Retail
03 Bank
04 Café/fast food
05 Professional services
06 Travel
07 NGO/Charity
08 Manufacturing
09 Media/art
Questionnaire
Introduce: We have been commissioned by the X Sydney Council to conduct independent research of its BID members. The research will be used to improve Council activities. Your comments will be confidential.
For the following statement, can you tell me whether you agree or disagree? Then ask: is that strongly/mildly agree/disagree?
1 = strongly agree 2 = mildly agree 3 = mildly disagree 4 = strongly disagree
5 = Don’t know (don’t say) 6 = N/A (don’t say) READ OUT AS INDICATED IN QUESTIONS BELOW
Write in rating
START QUESTIONS HERE: Firstly, some questions about Council BID membership and street activation groups
Q1 (read out scale options) I’m active in the Council BID
Q2 (read out scale options again) Local businesses support the BID
Q3 The BID should be doing more for businesses in X Sydney
Q4 I am satisfied with the street activation activities organised by the Council BID
Q5 I participate in the BID street activation groups (yes/no question) if yes go to Q7
Yes/No
Q6 I am interested in participating in a BID street activation group
Q7 Do you think BID member meetings should be more frequent?
If yes, how often (write in) ……………………………………………
YES/NO/Don’t know
Q8 Do you have any comments in relation to the questions I’ve just asked?
(write in)
……………………………………………………………………………………………………………
……………………………………………………………………………………………………………
……………………………………………………………………………………………………………
(read out) Now, Just a few questions about safety and amenities
Q9 (Read out scale again) Being able to access safety, crime prevention tools information and reporting forms all in one place through the BID website is something I value
Q10 The public space and amenity quality is good in the Council area
Q11 Do you have any comments about safety and amenities
(write in)
……………………………………………………………………………………………………………
……………………………………………………………………………………………………………
……………………………………………………………………………………………………………
And finally a few questions about communications (read out)
Q12 I a.
Bus101 quiz (Business Organizations)The due time is in 1hrs1 .docx
Bus101 quiz (Business Organizations)
The due time is in 1hrs
1/ Both socialism and communism are variations of:
Select one:
a. command economies.
b. competitive economies.
c. free-market economies.
d. plutocratic systems.
2 / To be effective, empowerment will require lower-level workers to :
Select one:
a. have more training.
b. accept less responsibility and lower wages.
c. receive less training.
d. have written policies regulating each aspect of their work.
3)
As a small business owner, Tanika can't afford to provide her employees with the high wages and benefits offered by big corporations. One way to retain her employees and create a high level of motivation would be to:
Select one:
a. threaten to fire her existing employees and hire new workers.
b. adopt a policy of promoting the workers who have been employed the longest.
c. empower her employees to develop their own ideas.
d. hire only family members, since they are more loyal.
4/
Anita is employed as plant manager for Mojo Industries, Incorporated. Though she spends some time performing all management functions, she is particularly concerned with tactical planning and controlling. Anita's position would be classified as part of Mojo's:
Select one:
a. top management.
b. lateral management.
c. supervisory management.
d. middle management.
5/
Which of the following policies would tend to foster entrepreneurship?
Select one:
a. establishing a currency that is tradable on world markets.
b. establishing more regulations to protect the environment.
c. developing policies to reduce corruption between individuals.
d. allowing public ownership of businesses.
6)
All else held equal, socially responsible firms:
Select one:
a. are viewed more favorably by consumers.
b. enjoy significantly higher profits.
c. often experience customer loyalty problems.
d. fail to earn sufficient profits for their owners.
7) After personal savings, the next largest source of capital for entrepreneurs is from:
Select one:
a. large multinational banks.
b. the Small Business Administration.
c. state and local governments.
d. friends and family.
8/
Patrick's Products has a manufacturing plant near Chicago. The plant specializes in compact washers and dryers for countries in which consumers have less living space. Patrick's Products participates in the global market through:
Select one:
a. importing.
b. dumping.
c. exporting.
d. balancing trade.
9/
Managers who listen to their subordinates and allow them to participate in decision-making are using the ____________ style of leadership.
Select one:
a. autocratic
b. free-rein
c. participative
d. bureaucratic
10/
Which of the following statements about partnerships is the most accurate?
Select one:
a. A partnership is simply a corporation with fewer than 100 owners.
b. A major advantage of a partnership is that it offers owners limited liability.
c. A major drawback of a partnership is that it is difficult to terminate.
d. Partnerships are taxed at the lowest corporate tax .
BUS 625 Week 4 Response to Discussion 2Guided Response Your.docx
BUS 625 Week 4 Response to Discussion 2
Guided Response: Your initial response should be a minimum of 300 words in length. Respond to at least two of your classmates by commenting on their posts. Though two replies are the basic expectation for class discussions, for deeper engagement and learning, you are encouraged to provide responses to any comments or questions others have given to you.
Below there are two of my classmate’s discussion that needs I need to response to their names are Umadevi Sayana
and Britney Graves
Umadevi Sayana
TuesdayMar 17 at 7:50am
Manage Discussion Entry
Twitter mining analyzed the Twitter message in predicting, discovering, or investigating the causation. Twitter mining included text mining that designed specifically to leverage Twitter content and context tweets. With the use of text mining, twitter was able to include analysis of additional information that associates to tweets, which include hashtags, names, and other related characteristics. The mining also employs much information as several tweets, likes, retweets, and favorites trying to understand the considerations better. Twitter using text mining was successful in capturing and reflecting different events that relate to other conventional and social media. In 2013, there were over 500 million messages per day for twitter and became impossible for any human to analyze. It became important than to develop computer-based algorithms, including data mining. Twitter implements text mining in analyzing the sentiment that associates with twitter messages. It based on the analysis of the keyword that words are having a negative, positive, or neutral sentiment (Sunmoo, Noémie& Suzanne, (Links to an external site.)n.d). Positive words, for example like great, beautiful, love, and negative words of stupid, evil, and waste, do regularly have lexicons. Using text mining, Twitter was able to capture sentiments by capturing many dictionary symbols. Moreover, the sentiment applied to abbreviations, emoticons, and repeated characters, symbols, and abbreviations.
The sentiments on topics of economics, politics, and security are usually negative, and sentiments related to sports are harmful. Twitter also used text mining to collect and analyze for topic modeling techniques over time. To pull out the data from Twitter, TwitterR used. “Someone well versed in database architecture and data storage is needed to extract the relevant information in different databases and to merge them into a form that is useful for analysis” ( Sharpe, De Veaux & Velleman, 2019, p.753). It provides the interface that connects to Twitter web API; retweetedby/ids also used combined with RCurl package in finding out several tweets that retweeted. Text mining is also used in Twitter to clean the text by taking out hyperlinks, numbers, stop words, punctuations, followed by stem completion. Text mining also implemented for social network analysis.
Web mining focus on data knowledge discovery .
BUS 625 Week 2 Response for Discussion 1 & 2Week 2 Discussion 1 .docx
BUS 625 Week 2 Response for Discussion 1 & 2
Week 2 Discussion 1 Response
Guided Response: Your initial response should be a minimum of 300 words in length. Respond to at least two of your classmates by commenting on their posts. In your response, provide your own interpretation of their distribution graph. Note any differences between your classmate’s interpretation and your own. Though two replies are the basic expectation for class discussions, for deeper engagement and learning you are encouraged to provide responses to any comments or questions others have given to you. Continuing to engage with peers and the instructor will further the conversation and provide you with opportunities to demonstrate your content expertise, critical thinking, and real-world experiences with the discussion topics.
Below there are two of my classmate’s discussion that needs I need to response to their names are Kristopher Wentworth and Ashley Thiberville
Kristopher Wentworth
This graph is a representation of single people versus married couples from the year 1950 to the year 2019. This information was gathered and presented by the U.S. Department of Commerce and the U.S. Census Bureau who have a good record of presenting accurate data and are highly credible. The U.S. Department of Commerce is responsible for promoting economic growth in the united states. The U.S. Census Bureau is an agency of the Federal government that is responsible for producing data about the people of America and the economy.
So, the graph that I chose to talk about is one showing the gap between how many people are married and how many people are single in the united states from 1950 - 2019. I chose this graph because it caught my attention right away because of the contrasting colors but also because of the information displayed. It is crazy to think that since 1950 the American population has more than doubled according to this graph and with the growing population, the numbers of married couples and singles rise too. However, if you look at the percentages of singles they haven't changed all too much. For example, the number of single Americans in 1950 was 37.3M and in 2019 it was 125.7M. Even with such a large population boom the percentage that was never married really hadn't changed going from 69% to 68%.
The presentation of this graph is excellent with the line graph being yellow and on a blue backdrop, it allows it to really stand out. The shape of the graph shows a sharp incline as the population in us explodes. Since this graph is focused on the single population of America it puts the focus on that with stats like "never been married, divorced, widowed" because there are multiple ways to be single and really only one way to be married.
Ashley Thiberville
The above histogram was compiled by the United States Census Bureau to show the rise of one-person households in the US. The Census Bureau is a branch of the Department of Commerce within the United States gov.
Bus 626 Week 6 - Discussion Forum 1Guided Response Respon.docx
Bus 626 Week 6 - Discussion Forum 1
Guided Response: Respond to at least two of your fellow students’ and to your instructor’s posts in a substantive manner and provide information or concepts that they may not have considered. Each response should have a minimum of 100 words. Support your position by using information from the week’s readings. You are encouraged to post your required replies earlier in the week to promote more meaningful and interactive discourse in this discussion forum. Continue to monitor the discussion forum until Day 7 and respond with robust dialogue to anyone who replies to your initial post.
Jocelyn Harnett
Egypt has a sizable trade deficit that has continued to grow through the 21st century. The country has imports that make up a third of GDP and exports that make up one tenth of GDP. Egypt has many critical trade partners that include China, the United States, and the Gulf Arab countries. Throughout history Egypt has had an unstable government which has led to an unstable economy. This is related to the fluctuations the country has experienced in tariffs and taxes. The country has stabilized in recent years, but the historic instability still remains a critical factor when considering the expansion of Wal-Mart into Egypt. The trade deficit would not be a concern under normal conditions due to the fact that this means money is flowing into the country and creating new opportunities, but because the government is not stable Wal-Mart would want to ascertain that money was being invested properly in the future. If money is not being utilized correctly than the trade deficit becomes a concern because future generations are inheriting a debt that had no payback associated with it. The exchange rate of the Egyptian pound has gotten stronger to the US Dollar, which is a good indicator the economy is heading in the correct direction. Wal-Mart expansion could benefit from getting into the market in Egypt at the right time to see major profits.
Egypt is a market that will continue to grow as the internal government becomes stabilized and the country continues to focus on improving the economic welfare of the people. Currently the market in Egypt is volatile and companies that select to make an investment here must be aware of the many different cultural aspects that will affect success. The government is working to “find solutions and solve difficulties for people and businesses” (Bawaba, 2019) and has seen success in the first half of 2019. “At the time of May 31, 2019, the whole country had 721,516 businesses doing business, increasing 23,921 enterprises (3.43 %) compared to the end of 2018.” (Bawaba, 2019). This sort of success validates a foreign company wanting to make an investment, but continued analysis of the country’s government stability will be needed before each new storefront is added.
References:
Bawaba, A. (2019). Egypt : "Reviewing tax policies, finding solutions to solve difficulties for people and .
BUS 499, Week 8 Corporate Governance Slide #TopicNarration.docx
BUS 499, Week 8: Corporate Governance
Slide #
Topic
Narration
1
Introduction
Welcome to Senior Seminar in Business Administration.
In this lesson we will discuss Corporate Governance.
Please go to the next slide.
2
Objectives
Upon completion of this lesson, you will be able to:
Describe how corporate governance affects strategic decisions.
Please go to the next slide.
3
Supporting Topics
In order to achieve these objectives, the following supporting topics will be covered:
Separation of ownership and managerial control;
Ownership concentration;
Board of directors;
Market for corporate control;
International corporate governance; and
Governance mechanisms and ethical behavior.
Please go to the next slide.
4
Separation of Ownership and Managerial Control
To start off the lesson, corporate governance is defined as a set of mechanisms used to manage the relationship among stakeholders and to determine and control the strategic direction and performance of organizations. Corporate governance is concerned with identifying ways to ensure that decisionsare made effectively and that they facilitate strategic competitiveness. Another way to think of governance is to establish and maintain harmony between parties.
Traditionally, U. S. firms were managed by founder- owners and their descendants. As firms became larger the managerial revolution led to a separation of ownership and control in most large corporations. This control of the firm shifted from entrepreneurs to professional managers while ownership became dispersed among unorganized stockholders. Due to these changes modern public corporation was created and was based on the efficient separation of ownership and managerial control.
The separation of ownership and managerial control allows shareholders to purchase stock. This in turn entitles them to income from the firm’s operations after paying expenses. This requires that shareholders take a risk that the firm’s expenses may exceed its revenues.
Shareholders specialize in managing their investment risk. Those managing small firms also own a significant percentage of the firm and there is often less separation between ownership and managerial control. Meanwhile, in a large number of family owned firms, ownership and managerial control are not separated at all. The primary purpose of most large family firms is to increase the family’s wealth.
The separation between owners and managers creates an agencyrelationship. An agency relationship exists when one or more persons hire another person or persons as decision- making specialists to perform a service. As a result an agency relationship exists when one party delegates decision- making responsibility to a second party for compensation. Other examples of agency relationships are consultants and clients and insured and insurer. An agency relationship can also exist between managers and their employees, as well as between top- level managers and the firm’s owners.
The sep.
BUS 499, Week 6 Acquisition and Restructuring StrategiesSlide #.docx
BUS 499, Week 6: Acquisition and Restructuring Strategies
Slide #
Topic
Narration
1
Introduction
Welcome to Business Administration.
In this lesson we will discuss Acquisition and Restructuring Strategies.
Please go to the next slide.
2
Objectives
Upon completion of this lesson, you will be able to:
Identify various levels and types of strategy in a firm.
Please go to the next slide.
3
Supporting Topics
In order to achieve this objective, the following supporting topics will be covered:
The popularity of merger and acquisition strategies;
Reasons for acquisitions;
Problems in achieving acquisition success;
Effective acquisitions; and
Restructuring.
Please go to the next slide.
4
The Popularity of Merger and Acquisition Strategies
The acquisition strategy has been a popular strategy among U.S. firms for many years. Some believe that this strategy played a central role in an effective restructuring of U.S. business during the 1980s and 1990s and into the twenty-first century.
An acquisition strategy is sometimes used because of the uncertainty in the competitive landscape. A firm may make an acquisition to increase its market power because of a competitive threat, to enter a new market because of the opportunity available in that market, or to spread the risk due to the uncertain environment.
The strategic management process calls for an acquisition strategy to increase a firm’s strategic competitiveness as well as its returns to shareholders. Thus, an acquisition strategy should be used only when the acquiring firm will be able to increase its value through ownership of the acquired firm and the use of its assets.
Please go to the next slide.
5
Mergers, Acquisitions, and Takeovers
A merger is a strategy through which two firms agree to integrate their operations on a relatively coequal basis. Few true mergers actually occur, because one party is usually dominant in regard to market share or firm size.
An acquisition is a strategy through which one firm buys a controlling, or one hundred percent, interest in another firm with the intent of making the acquired firm a subsidiary business within its portfolio. In this case, the management of the acquired firm reports to the management of the acquiring firm. Although most mergers are friendly transactions, acquisitions can be friendly or unfriendly.
A takeover is a special type of an acquisition strategy wherein the target firm does not solicit the acquiring firm’s bid. The number of unsolicited takeover bids increased in the economic downturn of 2001 to 2002, a common occurrence in economic recessions; because the poorly managed firms that are undervalued relative to their assets are more easily identified.
On a comparative basis, acquisitions are more common than mergers and takeovers.
Please go to the next slide.
6
Reasons for Acquisitions
There are a number of reasons firms decide to acquire another company. These are:
Increased market power;
Overcoming entry barriers;
Co.
BUS 499, Week 4 Business-Level Strategy, Competitive Rivalry, and.docx
BUS 499, Week 4: Business-Level Strategy, Competitive Rivalry, and Competitive Dynamics
Slide #
Topic
Narration
1
Introduction
Welcome to Senior Seminar in Business Administration.
In this lesson, we will discuss Business-Level Strategy, Competitive Rivalry, and Competitive Dynamics.
Next slide.
2
Objectives
Upon completion of this lesson, you will be able to:
Identify various levels and types of strategy in a firm.
Next slide.
3
Supporting Topics
In order to achieve this objective, the following supporting topics will be covered:
Customers: their relationship with business-level strategies;
The purpose of a business-level strategy;
Types of business-level strategies;
A model of competitive rivalry;
Competitor analysis;
Drivers of competitive actions and responses;
Competitive rivalry;
Likelihood of attack;
Likelihood of response; and
Competitive dynamics.
Next slide.
4
Customer Relationships
Strategic competitiveness results only when the firm is able to satisfy a group of customers by using its competitive advantages as the basis for competing in individual product markets. A key reason firms must satisfy customers with their business-level strategy is that returns earned from relationships with customers are the lifeblood of all organizations. The most successful companies try to find new ways to satisfy current customers and/or meet the needs of new customers.
The firm’s relationships with its customers are strengthened when it delivers superior value to them. Strong interactive relationships with customers often provide the foundation for the firm’s efforts to profitably serve customers’ unique needs.
The reach dimension of relationships with customers is concerned with the firm’s access and connection to customers. Richness is concerned with the depth and detail of the two-way flow of information between the firm and the customer. Affiliation is concerned with facilitating useful interactions with customers.
Deciding who the target customer is that the firm intends to serve with its business-level strategy is an important decision. Companies divide customers into groups based on differences in the customers’ needs to make this decision. Dividing customers into groups based on their needs is called market segmentation, which is a process that clusters people with similar needs into individual and identifiable groups.
Next slide.
5
Customer Relationships, continued
After the firm decides who it will serve, it must identify the targeted customer group’s needs that its good or services can satisfy. Successful firms learn how to deliver to customers what they want and when they want it. In a general sense, needs are related to a product’s benefits and features. Having close and frequent interactions with both current and potential customers helps firms identify those individuals’ and groups’ current and future needs.
As explained in previous lessons, core competencies are resources and capabilities that serve as a source of.
BUS 437 Project Procurement Management Discussion QuestionsWe.docx
BUS 437 Project Procurement Management Discussion Questions
Week 2 Discussion
“Effective Management.” There are three (3) recommendations for effective management of projects in concurrent multiphase environments: Organizational System Design, System Implementation, and Managing in Concurrent Engineering.· Which of these three (3) recommendations for effective management would you or do you use most often? Why?
Week 3 Discussion
Top of Form
“Managing Configuration and Data for Effective Project Management.” The process protocol model consists of thirteen (13) steps from Inception to Feedback.· What are the steps?· Can any be skipped in this process model? What are the steps?
Week 4 Discussion“Organizational Project Management Maturity Model.” Students will respond to the following:· What is the four-step process of innovation and learning and how can your organization apply these steps to manage a project?· Of the five (5) levels of an organizational project management maturity model, which level is often the most difficult to manage? Why?
INTEGRATED SEMESTER ASSIGNMENT
(FINC 300, INFO 300, MGMT 300, MKTG 300)
DUE: April 12, 2019
INSTRUCTIONS:
The objective of the integrated semester is to help you extend your knowledge of how the finance,
operations, management, and marketing disciplines work and how they integrate their functioning in
the real world of business. This assignment is an assessment of how well you understand this
integration. It is worth 10% of your course grade.
YOUR ASSIGNMENT IS TO ANSWER ALL OF THE QUESTIONS, IN A SINGLE DOCUMENT:
• The assignment should be prepared as a Word document, 12 -14 pages in length (approx. 3
pages for each discipline’s questions).
• The document should be double spaced, using Ariel font #12.
• Label each section (e.g., FINANCE) to indicate which discipline’s questions you are
answering.
• Add any Appendices at the end of the Word document.
• Upload the entire Word file through the link on Canvas to each of your Integrated Semester
courses by the due date.
Note: Your reference sources, in addition to the base case and question sets, should be online sites
and articles, Bloomberg terminals, your Integrated Semester textbooks and PowerPoint slides. Also
note, Turnitin, a software tool that improves writing and prevents plagiarism, will be used to assess
your sourcing of information. Do your own work.
FINANCE ASSIGNMENT
The objective of the integrated semester is to help you extend your knowledge of how the finance,
operations, management, and marketing disciplines work and how they integrate their functioning in
the real world of business. This assignment is an assessment of how well you understand this
integration. It is worth 10% of your course grade.
Use either the Bloomberg terminals located at the Feliciano School of Business or other reputable
sources such as finance.yahoo.com, morningstar.com or Wall Street Jo.
BUS 480.01HY Case Study Assignment Instructions .docx
BUS 480.01HY Case Study Assignment
Instructions
Instructions: Each of you have been assigned a company to complete a case study analysis report.
The case distribution can be found on BlackBoard (course content -> case study analysis - > case
study distribution). Complete a thorough research on your company in order to complete the
analysis. It is required for you to use scholarly journals and peer-reviewed articles, which can be
found on the University’s website in the library section. I have provided you with very detailed
information on how to complete a thorough case analysis report. I am available during my office
hours to discuss. I will also schedule a case analysis session during lunch time this week. If you are
able to make it, please attend for one-on-one assistance.
Your “draft is due this Thursday, October 11th. I am not looking for perfection here, but please do
your best in writing and researching. Your final product will be due on Thursday, October 18th.
BUS 480.01HY Case Study Assignment
Instructions
1. Format – please review the case study format guidelines placed on BlackBoard
The use of headers and sub-headers is strongly suggested
2. Submission
1. Submit to BlackBoard (course content -> case study analysis - > Case Study Analysis
Report). Failure to submit in proper area will result in a 0.
3. Introduction
In 3-4 paragraphs describe the case facts and background. This should include BRIEF
information about the firm, however do NOT simply duplicate what is in the case itself.
As things change quickly in business, you may wish to check the current status of the
firm and briefly discuss the most current information.
4. Body
This should be about 4-5 pages in length (minimum – this is only a guideline). Review
posted guidelines for more information/detail
a) State the Problem/Key Issues
What are the key marketing or business issues in the case? These might be problems,
opportunities or challenges the firm is facing. For example:
o Sales have declined by 10 percent in the last year.
o The competition has launched a new and innovative product.
o Consumer tastes have changed and the firm’s most successful product is at risk.
o The CEO made a public racial slur and has affected the company internally and
externally.
5. Conclusion (include recommendations in this section)
For the issues you identified above, you must identify potential solutions and analyze
each of them. For example, for the decline in sales noted above we might try any of the
following, among other options:
1. increase advertising
2. develop a new product
3. implement diversity training
4. launch a brand awareness campaign
For each of the alternatives, you should analyze the costs, benefits, resources required
and possible outcomes. Typically, you will have 3-4 of these alternatives. Any given
alternative solution might address multiple issues. If t.
BUS 308 Week 5 Lecture 3 A Different View Effect Sizes .docx
BUS 308 Week 5 Lecture 3
A Different View: Effect Sizes
Expected Outcomes
After reading this lecture, the student should be familiar with:
1. What effect size measures exist for different statistical tests.
2. How to interpret an effect size measure.
3. How to calculate an effect size measure for different tests.
Overview
While confidence intervals can give us a sense of how much variation is in our decisions,
effect size measures help us understand the practical significance of our decision to reject the
null hypothesis. Not all statistically significant results are of the same importance in decision
making. A difference in means of 25 cents is more important with means around a dollar than
with means in the millions of dollars, yet with the right sample size both groups can have this
difference be statistically significant.
Effect size measures help us understand the practice importance of our decision to reject
the null hypothesis.
Excel has limited functions available for us to use on Effect Size measures. We generally
need to take the output from the other functions and generate our Effect Size values.
Effect Sizes
One issue many have with statistical significance is the influence of sample size on the
decision to reject the null hypothesis. If the average difference in preference for a soft drink was
found to be ½ of 1%; most of us would not expect this to be statistically significant. And,
indeed, with typical sample sizes (even up to 100), a statistical test is unlikely to find any
significant difference. However, if the sample size were much larger; for example, 100,000; we
would suddenly find this miniscule difference to be significant!
Statistical significance is not the same as practical significance. If for example, our
sample of 100,000 was 1% more in favor of an expensive product change, would it really be
worthwhile making the change? Regardless of how large the sample was, it does not seem
reasonable to base a business decision on such a small difference.
Enter the idea of Effect Size. The name is descriptive but at the same time not very
illuminating on what this measure does. We will get to specific measures shortly, but for now,
let’s look at how an Effect Size measure can help us understand our findings. First, the name:
Effect Size. What effect? What size? In very general terms, the effect we are monitoring is the
effect that occurs when we change one of the variables. For example, is there an effect on the
average compa-ratio when we change from male to female. Certainly, but not all that much, as
we found no significant difference between the average male and female compa-ratios. Is there
an effect when we change from male to female on the average salary? Definitely. And it is
much larger than what we observed on the compa-ratio means. We found a significant
difference in the average salary for males than females – around $14,000.
The Effect Siz.
BUS 308 Week 2 Lecture 1 Examining Differences - overview .docx
BUS 308 Week 2 Lecture 1
Examining Differences - overview
Expected Outcomes
After reading this lecture, the student should be familiar with:
1. The importance of random sampling.
2. The meaning of statistical significance.
3. The basic approach to determining statistical significance.
4. The meaning of the null and alternate hypothesis statements.
5. The hypothesis testing process.
6. The purpose of the F-test and the T-test.
Overview
Last week we collected clues and evidence to help us answer our case question about
males and females getting equal pay for equal work. As we looked at the clues presented by the
salary and comp-ratio measures of pay, things got a bit confusing with results that did not see to
be consistent. We found, among other things, that the male and female compa-ratios were fairly
close together with the female mean being slightly larger. The salary analysis showed a different
view; here we noticed that the averages were apparently quite different with the males, on
average, earning more. Contradictory findings such as this are not all that uncommon when
examining data in the “real world.”
One issue that we could not fully address last week was how meaningful were the
differences? That is, would a different sample have results that might be completely different, or
can we be fairly sure that the observed differences are real and show up in the population as
well? This issue, often referred to as sampling error, deals with the fact that random samples
taken from a population will generally be a bit different than the actual population parameters,
but will be “close” enough to the actual values to be valuable in decision making.
This week, our journey takes us to ways to explore differences, and how significant these
differences are. Just as clues in mysteries are not all equally useful, not all differences are
equally important; and one of the best things statistics will do for us is tell us what differences
we should pay attention to and what we can safely ignore.
Side note; this is a skill that many managers could benefit from. Not all differences in
performances from one period to another are caused by intentional employee actions, some are
due to random variations that employees have no control over. Knowing which differences to
react to would make managers much more effective.
In keeping with our detective theme, this week could be considered the introduction of
the crime scene experts who help detectives interpret what the physical evidence means and how
it can relate to the crime being looked at. We are getting into the support being offered by
experts who interpret details. We need to know how to use these experts to our fullest
advantage. 😊😊
Differences
In general, differences exist in virtually everything we measure that is man-made or
influenced. The underlying issue in statistical analysis is that at times differences are important.
When measu.
BUS 340 Week 5BUS 340 Business CommunicationsWee.docx
BUS 340
Week 5
BUS 340
Business Communications
Week 5
It is imperative that we make this last week of class a priority. You’ve made it this far – you are almost to the finish line!
Take advantage of your peers knowledge and experience in the discussion forums
Ask questions if you have them. I am here to help you succeed
BUS 340: Business Communications
Introduction to Week 5
In our last week together, we will examine practices for creating and delivering oral presentations. Since ours is a virtual classroom, this means that what we are unable to convey verbally will be that much more critical to demonstrate via the written word.
As such, this topic will expand to evaluate the component of effective online presentations.
Overview & Requirements
Read: Chapters 13-176 in our text book
Two Discussion Questions: Original Post due by Thursday, 11:59pm
Respond to at least two classmates (or your instructor) for each discussion question: Due by Monday 11:59 pm
Week 3 Assignment: Business Proposal Due by Monday 11:59 pm
Review: Coughlin and Mishra’s article (located under Required Resources)
Week 5
Bovee, C. L. & Thill, J. V. (2016). Business communication today. (13th ed.).
Chapter 13: Finding, Evaluating, and Processing Information
Chapter 14: Planning Reports and Proposals
Chapter 15: Writing and Completing Reports and Proposals
Chapter 16: Developing Presentations in a Social Media Environment
Chapter 17: Enhancing Presentations with Slides and Other Visuals
Coughlin, D. (2014). Focusing on the fundamentals of effective communication within an organization. Effective Executive, 17(1).
Mishra, S. (2015). Effective communication for corporate sector: A need for a paradigm shift. Indian Journal of Health and Wellbeing, 6(7).
Week 5
Required Reading
London, M., & Mone, E. (2012). Leadership for today and the future. (1st. ed.). San Diego, CA: Bridgepoint Education, Inc.
5
This week we will:
Craft an effective message for electronic media
Assess practices for creating and delivering oral presentations
Evaluate the components of effective online presentations
Create a business proposal that identifies the benefits of change
Week 5
Objectives for Week 5
ActivityDue DateFormat Grading Percent Read Chapters 13-17Forecast PresentationsDay 3
(1st post) Discussion 4Respond to at least two classmates’ (or your instructor’s) postsDay 7DiscussionIncluded as part of 2 pts Enhancing Presentations Day 3
(1st post) Discussion 4Respond to at least two classmates’ (or your instructor’s) postsDay 7DiscussionIncluded as part of 4 pts Business ProposalDay 7 Assignment 25
Week 5
7
In our contemporary organizations, business communication is far more detailed and complex than most people in the workplace realize.
Without acute attention to detail, many people in the workplace miss details that prove critical to successful business communication
Week 5
8
Tips for Creating & Delivering effective
oral present.
BUS 308 – Week 4 Lecture 2 Interpreting Relationships .docx
BUS 308 – Week 4 Lecture 2
Interpreting Relationships
Expected Outcomes
After reading this lecture, the student should be able to:
1. Interpret the strength of a correlation
2. Interpret a Correlation Table
3. Interpret a Linear Regression Equation
4. Interpret a Multiple Regression Equation
Overview
As in many detective stories, we will often find that when one thing changes, we see that
something else has changed as well. Moving to correlation and regression opens up new insights
into our data sets, but still lets us use what we have learned about Excel tools in setting up and
generating our results.
The correlation between events is mirrored in data analysis examinations with correlation
analysis. This week’s focus changes from detecting and evaluating differences to looking at
relationships. As students often comment, finding significant differences in gender-based
measures does not explain why these differences exist. Correlation, while not always explaining
why things happen gives data detectives great clues on what to examine more closely and helps
move us towards understanding why outcomes exist and what impacts them. If we see
correlations in the real world, we often will spend time examining what might underlie them;
finding out if they are spurious or causal.
Regression lets us use relationships between and among our variables to predict or
explain outcomes based upon inputs, factors we think might be related. In our quest to
understand what impacts the compa-ratio and salary outcomes we see, we have often been
frustrated due to being basically limited to examining only two variables at a time, when we felt
that we needed to include many other factors. Regression, particularly multiple regression, is the
tool that allows us to do this.
Linear Correlation
When two things seem to move in a somewhat predictable way, we say they are
correlated. This correlation could be direct or positive, both move in the same direction, or it
could be inverse or negative, where when one increases the other decreases. The Law of Supply
in economics is a common example of an inverse (or negative) correlation, where the more
supply we have of something, the less we typically can charge for it; the Law of Demand is an
example of a direct (or positive) correlation as the more demand exists for something, the more
we can charge for it. Height and weight in young children is another common example of a
direct correlation, as one increases so does the other measure.
Probably the most commonly used correlation is the Pearson Correlation Coefficient,
symbolized by r. It measures the strength of the association – the extent to which measures
change together – between interval or ratio level measures as well as the direction of the
relationship (inverse or direct). Several measures in our company data set could use the Pearson
Correlation to show relationships; salary and midpoint, salary and yea.
BUS 308 Week 3 Lecture 1 Examining Differences - Continued.docx
BUS 308 Week 3 Lecture 1
Examining Differences - Continued
Expected Outcomes
After reading this lecture, the student should be familiar with:
1. Issues around multiple testing
2. The basics of the Analysis of Variance test
3. Determining significant differences between group means
4. The basics of the Chi Square Distribution.
Overview
Last week, we found out ways to examine differences between a measure taken on two
groups (two-sample test situation) as well as comparing that measure to a standard (a one-sample
test situation). We looked at the F test which let us test for variance equality. We also looked at
the t-test which focused on testing for mean equality. We noted that the t-test had three distinct
versions, one for groups that had equal variances, one for groups that had unequal variances, and
one for data that was paired (two measures on the same subject, such as salary and midpoint for
each employee). We also looked at how the 2-sample unequal t-test could be used to use Excel
to perform a one-sample mean test against a standard or constant value. This week we expand
our tool kit to let us compare multiple groups for similar mean values.
A second tool will let us look at how data values are distributed – if graphed, would they
look the same? Different shapes or patterns often means the data sets differ in significant ways
that can help explain results.
Multiple Groups
As interesting as comparing two groups is, often it is a bit limiting as to what it tells us.
One obvious issue that we are missing in the comparisons made last week was equal work. This
idea is still somewhat hard to get a clear handle on. Typically, as we look at this issue, questions
arise about things such as performance appraisal ratings, education distribution, seniority impact,
etc.
Some of these can be tested with the tools introduced last week. We can see, for
example, if the performance rating average is the same for each gender. What we couldn’t do, at
this point however, is see if performance ratings differ by grade, do the more senior workers
perform relatively better? Is there a difference between ratings for each gender by grade level?
The same questions can be asked about seniority impact. This week will give us tools to expand
how we look at the clues hidden within the data set about equal pay for equal work.
ANOVA
So, let’s start taking a look at these questions. The first tool for this week is the Analysis
of Variance – ANOVA for short. ANOVA is often confusing for students; it says it analyzes
variance (which it does) but the purpose of an ANOVA test is to determine if the means of
different groups are the same! Now, so far, we have considered means and variance to be two
distinct characteristics of data sets; characteristics that are not related, yet here we are saying that
looking at one will give us insight into the other.
The reason is due to the way the variance is an.
BUS 308 Week 2 Lecture 3 Setting up the F and T tests in E.docx
BUS 308 Week 2 Lecture 3
Setting up the F and T tests in Excel
After reading this lecture, the student should know:
1. How to set up data lists for the F and T tests.
2. How to set-up and conduct the F test (both options) produced by Excel
3. How to set-up and conduct the T-test produced by Excel
Overview
One of the nice characteristics of Excel is that setting up and running most functions and
tests is done in a very similar fashion, only having specific test related differences showing up in
the different functions and tests.
This lecture will cover setting up data ranges that will be used for all of our statistical
functions. It will then move into setting up the F and T tests specifically.
Setting up Data
While in the hypothesis testing procedure it was said to set up steps 1 – 4 before even
looking at the data, we can set up the data columns to be used at any time. The set-up is simple
and straightforward. But, we have a couple of questions to answer before we set things up.
Since this week needs us to compare male and female outcomes (and Degree outcomes in
Question 3), we need to decide how we want our data to look. Sticking strictly with the gender
related data (you can do similar things with the degree data when ready), we need to decide if we
want our key data (compa-ratios, salary, etc.) to be in a long column or in two columns. An
example of both is shown in the screen shot below.
Notice that Column S contains all of the compa-ratio values (all 50 if we could see the
entire range) and that they are grouped by gender, with the first 25 rows being female values and
the last 25 rows being male values. The other way to display the data values is to have them
listed in separate columns, such as shown in columns Q and R – each having a label heading.
Start by looking at what variables the questions are asking for. For week 2, we have
Questions 1 and 2 asking for the same variables – compa-ratio and gender1, so we can use the
same location for both questions. Question 3 asks for a different set of variables, compa-ratio
and degree, so we should set up a different area for that question. Remember, it is best to
NEVER sort the data on the data tab. An error in sorting that missed a column could mess up the
data set and make it unusable for other problems.
In either case, copy the entire data column of interest (for example, compa-ratio,
Gender1, Degree, etc.) from the Data Tab to the weekly worksheet. Highlight the entire data
range of interest including the label in row 1, then press Control + C at the same time. Go over
to the weekly work sheet and find a column to the right of the work area (generally columns Q or
higher will be OK) and press Control + V at the same time. Repeat this for all the variables you
need.
After pasting the variables, use the Sort function in the Data tab to arrange them in
whatever order you want. You can do multiple sorts at the same time w.
BUS 308 Week 3 Lecture 3 Setting up ANOVA and Chi Square .docx
BUS 308 Week 3 Lecture 3
Setting up ANOVA and Chi Square
Expected Outcomes
After reading this lecture, the student should know how to:
1. Set-up the data for an ANOVA analysis.
2. Set-up and perform an ANOVA test.
3. Set-up a table of mean differences.
4. Set-up and perform a Chi Square test.
Overview
Setting up the ANOVA test is quite similar to how the t and F tests were set up. The Chi
Square set-up is a bit more complex, as it is not found in the Data Analysis list of tools.
ANOVA
The set-up of ANOVA within Excel is very similar to how we set up the F and T tests
last week; place the data set in appropriate groups and then use the ANOVA input box. One
difference this week is that the Fx (or Formulas) list does not include an option for ANOVA, so
we need to use the Data | Analysis tools.
Data Set-up
Single Factor. As with the t-test, ANOVA has a couple of versions to select between.
Each is used to answer slightly different questions, and these will be examined below. The most
significant difference lies in the data table used for each version.
We will be working primarily with the ANOAV Single Factor, which deals with
examining possible differences between the means of a single variable within different groups.
A question of whether or not the mean compa-ratios are equal across the grades is an example of
the kind of question answered with this approach.
Question 1. Week 3’s first question is about salary mean equality across the grades. Our
lecture example will deal with compa-ratio mean equality across the grades. The set-up for the
Single Factor ANOVA we just went through assumed this. The initial steps in the hypothesis
testing process are similar to what we have done before:
Step 1: Ho: All Compa-Ratio means are equal across the grades
Ha: At least one compa-ratio mean differs
Notice that these are the standard ANOVA – Single factor null and alternate hypothesis
statements that identify the specific variable (compa-ratio) and statistic (mean) that we
are testing, and merely say “no difference” and “at least one differs.”
Step 2: Alpha = 0.05
Step 3: F statistic and Single Factor ANOVA; used to test multiple means
Step 4: Decision Rule: Reject Ho if the p-value < 0.05
Step 5: Conduct the test – place the test function in cell K08.
As with the F and T tests, we need to group the data into distinct groups. For example, if
we are going to test the compa-ratio mean across grades, then the data must be set-up in a
table with grades across the top, as in the screen shot below. Note that as was done with
the T and F test input data, the raw or initial data was listed and then sorted. Values were
then copied into related groups; we used male and female groups for the F and t tests and
grade groups for this test.
Test Set-up. Go to the Data | Analysis and select ANOVA Single Factor gives us the
following input screen. This is completed for our compa-ratio.
BUS 307 Final Project Guidelines and Rubric Overview .docx
BUS 307 Final Project Guidelines and Rubric
Overview
Business law plays an integral part in both our personal and professional lives. A solid grasp of essential business law concepts is critical for the successful
navigation of complex and diverse business environments. You will assess relevant legal issues as well as apply the discipline-specific knowledge necessary to
successfully address real-world business situations such as business formation and management, liability issues, and compliance with government and industry
regulations, as well as to effectively communicate issues and facts to peers and professionals.
The final project represents an authentic competency, as you will have the opportunity to present your analysis of the legal and ethical issues involved in three
hypothetical business scenarios as well as to evaluate and make recommendations to avoid such issues in the future.
This assessment addresses the following course outcomes:
Apply the law regarding business relationships, such as agency law, partnership, and corporate law as strategies for appropriate and effective business
management
Analyze issues of real and personal property as they pertain to business formation and management
Determine the legal rights and duties of the parties to commercial paper for their impact on fundamental business operations
Analyze the rights and duties of the parties in credit transactions, including secured transactions and bankruptcy law, as they apply to fundamental
business operations
Evaluate the impact of government regulation on business practices for strategic and compliance purposes
Prompt
The final project for this course consists of two milestones and the final project submission. Milestones One and Two take the form of short answers crafted in
memo format from the perspective of a corporate attorney making recommendations to a client. For Case Studies 1 and 2, craft a professional memo for each,
appropriate in format, tone, and content, to send to your clients Fred and Sally, with your preliminary thoughts on the issues within. Your memos should illustrate
the issues and relevant law, apply the facts, and support your conclusions with regard to each issue. Always remember to be clear, kind, and professional in your
communications. The third element, Case Study 3, will be a short, 2–3-page essay in APA format that will require you to independently issue-spot as well as
provide a factual analysis of relevant law and recommendations. You will receive feedback on both milestones and the initial element of Case Study 3. Make any
necessary revisions and then include them all in the final submission, where you will label them as Case Study 1, 2, and 3.
Case Study 1
Fred is well known in his town for his homeopathic cough syrup. After years of encouragement, he has decided to take his miracle cough remedy to market as
“Fred’s Miracle Cough Syrup.” While his cough syrup is homeop.
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BUS301 Writing Rubric
Performance Dimensions
N/A
Not Met
Met
Comments
Organization (OABC)
Opening gets attention, provides context, and introduces topic
0
1
Agenda previews content of the document
0
1
Body
0
2
Sound paragraphing decisions (length and development)
Paragraphs limited to one topic per paragraph
Complete discussion of one topic before moving to next topic
Transitions and flow between paragraphs smooth
The overall flow/logic/structure of document is apparent
Closing summarizes and concludes, recommends, if appropriate
0
1
Content
The content of the document is relevant; information meaningful
0
2
The document is developed with adequate support and examples
0
2
The content is accurate and appropriate, with insightful analysis
0
2
Proofreading
The grammar and spelling are correct (proofread)
0
3
Punctuation—comma usage, capitalization, etc.—used correctly
0
3
The sentence structure and length are appropriate
0
1
Format
Appropriate formatting is used for type of document written
0
1
Good use of font, margins, spacing, headings, and visuals
0
1
[11/2016]
Example - Good - Corrected student example Spring 2020.docx
TO: Professor __________
FROM: Suzy Student
DATE: February 1, 2020
SUBJECT: Out of Class Experience – Cybersecurity Conference
Cybersecurity is a topic everyone should be concerned about, so I attended the 3rd Annual Cybersecurity Event held in the Grawn Atrium. I gained insight and knowledge from listening to the speakers that came from different kinds of industries. In this memo, I will discuss what I learned from the speaker and two takeaways: 1) cybersecurity is everywhere, 2) personal identifiable information, and 3) cybersecurity for the business student.
Cybersecurity is Everywhere
The conference was an opportunity to learn about cybersecurity. The first speaker talked about how companies are attacked in many different ways every day. The “bad guys” are trying to steal company information as well as employee information. Both kinds of information are valuable on the black market. The second speaker talked about the internet of things (IoT). These are things that are attached to the internet. The speaker talked about autonomous cars and medical equipment (heart) that talks to the internet. She talked about how cyber can and should influence designs. “Things” must be created with cybersecurity included in every step of the design. The last speaker talked about how my information has value. The “bad guys” steal my information and people want to buy it. Making money is one reason hackers steal millions of records.
Personal Identifiable Information
Personal Identifiable Information (PII) is any information relating to an identifiable person. There are laws in place to help make sure this information is secure. This topic is a takeaway for me because I had no idea my data had any value t.
BUS1431Introduction and PreferencesBUS143 Judgmen.docx
BUS143
1
Introduction and Preferences
BUS143: Judgment and Decision Making
Ye Li
All rights reserved ®
Why you decided to take this class
“Decisions are the essence of
management. They’re what
managers do—sit around all
day making (or avoiding)
decisions. Managers are judged
on the outcomes, and most of
them—most of us—have only
the foggiest idea how we do
what we do.”
Thomas Stewart
Former editor (2002-2008),
Harvard Business Review
BUS143
2
Decision Making: Two Questions
• Why is decision making difficult?
• What constitutes a good decision?
Decision Making: Good Process
• What is a decision?
– A costly commitment to a course of action.
• Outcomes versus Process
Outcomes
Good Bad
Process
Good
Bad
Bad “luck”
Good “luck”
BUS143
3
Components of a Good Decision
• I have considered my ABCs
– Alternatives
– Beliefs
– Consequences
• I am devoting an appropriate amount of
resources
• I have avoided major decision traps
Decision Making Components: The ABCs
• Alternatives
– Identification and articulation
– Construction/refinement
• Beliefs
– Identification and quantification of uncertainties
– Information collection/gathering
• Consequences
– Identification of consequences (and objectives
addressed by consequences)
– When possible, quantification of tradeoffs among
objectives
BUS143
4
Decision Making: Good Process
• Putting it all together (for now)…
Good decision making is choosing the
alternative that best meets your objectives
in the face of uncertainty about what
consequences will ensue.
3 Perspectives on Decision Making
• Normative
– How should people make decisions?
Related concepts: rational; optimizing; forward-looking
• Descriptive
– How do people make decisions?
Related concepts: boundedly rational; limited cognitive capacity;
heuristics or rule-based; myopic
• Prescriptive
– How can we help people make better decisions?
– Prescriptive advice via practical applications, in…
Management
Marketing
Finance
HR
Life!
BUS143
5
Example
• Problem
– Imagine two 1-mile-long (1.61km) pieces of railroad track, put
end to end, and attached to the ground at the extremes.
When it gets hot, each piece of track expands by 1 inch
(2.54cm), forcing the pieces to rise above the ground where
they meet in the middle.
How high will the track be in the middle?
• Normative rule:
– Pythagorean Theorem:
• Descriptive reality:
– Most people underestimate x. (We anchor on 1 inch.)
• Prescription:
– Use normative rule (geometry). Don’t rely on intuition.
More Examples
• Normative rule:
– Lighter objects should
be judged as lighter.
• Descriptive reality:
– Sometimes our vision
tricks us.
• Prescription:
– Use an outside reference
or instrument
– Note: Pilots have specific
strategies for
counteracting visual
illusions
Which box looks lighter?
BUS143
6
Class Philosophy
• Overarching goal:
– Help you to.
BUS210 analysis – open question codesQ7a01 Monthly OK02 Not .docx
BUS210 analysis – open question codes
Q7a
01 Monthly OK
02 Not trading hours
03 Every 2 weeks
05 Don’t know
Q8
01 More information wanted
02 More security/Police
03 More involvement from business
04 Inconvenient times
05 Street activation needs improvement
06 Too busy to be involved
08 More outside main areas
Q11
01 Toilets
02 Security/Police
03 Problems with access
04 Better parking needed
05 Has been positive improvement
Q14
01 Pedestrian flows
02 Tourist/visitor information
03 Business statistics – local and general
D2 Business Types
01 Accommodation/hospitality
02 Retail
03 Bank
04 Café/fast food
05 Professional services
06 Travel
07 NGO/Charity
08 Manufacturing
09 Media/art
Questionnaire
Introduce: We have been commissioned by the X Sydney Council to conduct independent research of its BID members. The research will be used to improve Council activities. Your comments will be confidential.
For the following statement, can you tell me whether you agree or disagree? Then ask: is that strongly/mildly agree/disagree?
1 = strongly agree 2 = mildly agree 3 = mildly disagree 4 = strongly disagree
5 = Don’t know (don’t say) 6 = N/A (don’t say) READ OUT AS INDICATED IN QUESTIONS BELOW
Write in rating
START QUESTIONS HERE: Firstly, some questions about Council BID membership and street activation groups
Q1 (read out scale options) I’m active in the Council BID
Q2 (read out scale options again) Local businesses support the BID
Q3 The BID should be doing more for businesses in X Sydney
Q4 I am satisfied with the street activation activities organised by the Council BID
Q5 I participate in the BID street activation groups (yes/no question) if yes go to Q7
Yes/No
Q6 I am interested in participating in a BID street activation group
Q7 Do you think BID member meetings should be more frequent?
If yes, how often (write in) ……………………………………………
YES/NO/Don’t know
Q8 Do you have any comments in relation to the questions I’ve just asked?
(write in)
……………………………………………………………………………………………………………
……………………………………………………………………………………………………………
……………………………………………………………………………………………………………
(read out) Now, Just a few questions about safety and amenities
Q9 (Read out scale again) Being able to access safety, crime prevention tools information and reporting forms all in one place through the BID website is something I value
Q10 The public space and amenity quality is good in the Council area
Q11 Do you have any comments about safety and amenities
(write in)
……………………………………………………………………………………………………………
……………………………………………………………………………………………………………
……………………………………………………………………………………………………………
And finally a few questions about communications (read out)
Q12 I a.
Bus101 quiz (Business Organizations)The due time is in 1hrs1 .docx
Bus101 quiz (Business Organizations)
The due time is in 1hrs
1/ Both socialism and communism are variations of:
Select one:
a. command economies.
b. competitive economies.
c. free-market economies.
d. plutocratic systems.
2 / To be effective, empowerment will require lower-level workers to :
Select one:
a. have more training.
b. accept less responsibility and lower wages.
c. receive less training.
d. have written policies regulating each aspect of their work.
3)
As a small business owner, Tanika can't afford to provide her employees with the high wages and benefits offered by big corporations. One way to retain her employees and create a high level of motivation would be to:
Select one:
a. threaten to fire her existing employees and hire new workers.
b. adopt a policy of promoting the workers who have been employed the longest.
c. empower her employees to develop their own ideas.
d. hire only family members, since they are more loyal.
4/
Anita is employed as plant manager for Mojo Industries, Incorporated. Though she spends some time performing all management functions, she is particularly concerned with tactical planning and controlling. Anita's position would be classified as part of Mojo's:
Select one:
a. top management.
b. lateral management.
c. supervisory management.
d. middle management.
5/
Which of the following policies would tend to foster entrepreneurship?
Select one:
a. establishing a currency that is tradable on world markets.
b. establishing more regulations to protect the environment.
c. developing policies to reduce corruption between individuals.
d. allowing public ownership of businesses.
6)
All else held equal, socially responsible firms:
Select one:
a. are viewed more favorably by consumers.
b. enjoy significantly higher profits.
c. often experience customer loyalty problems.
d. fail to earn sufficient profits for their owners.
7) After personal savings, the next largest source of capital for entrepreneurs is from:
Select one:
a. large multinational banks.
b. the Small Business Administration.
c. state and local governments.
d. friends and family.
8/
Patrick's Products has a manufacturing plant near Chicago. The plant specializes in compact washers and dryers for countries in which consumers have less living space. Patrick's Products participates in the global market through:
Select one:
a. importing.
b. dumping.
c. exporting.
d. balancing trade.
9/
Managers who listen to their subordinates and allow them to participate in decision-making are using the ____________ style of leadership.
Select one:
a. autocratic
b. free-rein
c. participative
d. bureaucratic
10/
Which of the following statements about partnerships is the most accurate?
Select one:
a. A partnership is simply a corporation with fewer than 100 owners.
b. A major advantage of a partnership is that it offers owners limited liability.
c. A major drawback of a partnership is that it is difficult to terminate.
d. Partnerships are taxed at the lowest corporate tax .
BUS 625 Week 4 Response to Discussion 2Guided Response Your.docx
BUS 625 Week 4 Response to Discussion 2
Guided Response: Your initial response should be a minimum of 300 words in length. Respond to at least two of your classmates by commenting on their posts. Though two replies are the basic expectation for class discussions, for deeper engagement and learning, you are encouraged to provide responses to any comments or questions others have given to you.
Below there are two of my classmate’s discussion that needs I need to response to their names are Umadevi Sayana
and Britney Graves
Umadevi Sayana
TuesdayMar 17 at 7:50am
Manage Discussion Entry
Twitter mining analyzed the Twitter message in predicting, discovering, or investigating the causation. Twitter mining included text mining that designed specifically to leverage Twitter content and context tweets. With the use of text mining, twitter was able to include analysis of additional information that associates to tweets, which include hashtags, names, and other related characteristics. The mining also employs much information as several tweets, likes, retweets, and favorites trying to understand the considerations better. Twitter using text mining was successful in capturing and reflecting different events that relate to other conventional and social media. In 2013, there were over 500 million messages per day for twitter and became impossible for any human to analyze. It became important than to develop computer-based algorithms, including data mining. Twitter implements text mining in analyzing the sentiment that associates with twitter messages. It based on the analysis of the keyword that words are having a negative, positive, or neutral sentiment (Sunmoo, Noémie& Suzanne, (Links to an external site.)n.d). Positive words, for example like great, beautiful, love, and negative words of stupid, evil, and waste, do regularly have lexicons. Using text mining, Twitter was able to capture sentiments by capturing many dictionary symbols. Moreover, the sentiment applied to abbreviations, emoticons, and repeated characters, symbols, and abbreviations.
The sentiments on topics of economics, politics, and security are usually negative, and sentiments related to sports are harmful. Twitter also used text mining to collect and analyze for topic modeling techniques over time. To pull out the data from Twitter, TwitterR used. “Someone well versed in database architecture and data storage is needed to extract the relevant information in different databases and to merge them into a form that is useful for analysis” ( Sharpe, De Veaux & Velleman, 2019, p.753). It provides the interface that connects to Twitter web API; retweetedby/ids also used combined with RCurl package in finding out several tweets that retweeted. Text mining is also used in Twitter to clean the text by taking out hyperlinks, numbers, stop words, punctuations, followed by stem completion. Text mining also implemented for social network analysis.
Web mining focus on data knowledge discovery .
BUS 625 Week 2 Response for Discussion 1 & 2Week 2 Discussion 1 .docx
BUS 625 Week 2 Response for Discussion 1 & 2
Week 2 Discussion 1 Response
Guided Response: Your initial response should be a minimum of 300 words in length. Respond to at least two of your classmates by commenting on their posts. In your response, provide your own interpretation of their distribution graph. Note any differences between your classmate’s interpretation and your own. Though two replies are the basic expectation for class discussions, for deeper engagement and learning you are encouraged to provide responses to any comments or questions others have given to you. Continuing to engage with peers and the instructor will further the conversation and provide you with opportunities to demonstrate your content expertise, critical thinking, and real-world experiences with the discussion topics.
Below there are two of my classmate’s discussion that needs I need to response to their names are Kristopher Wentworth and Ashley Thiberville
Kristopher Wentworth
This graph is a representation of single people versus married couples from the year 1950 to the year 2019. This information was gathered and presented by the U.S. Department of Commerce and the U.S. Census Bureau who have a good record of presenting accurate data and are highly credible. The U.S. Department of Commerce is responsible for promoting economic growth in the united states. The U.S. Census Bureau is an agency of the Federal government that is responsible for producing data about the people of America and the economy.
So, the graph that I chose to talk about is one showing the gap between how many people are married and how many people are single in the united states from 1950 - 2019. I chose this graph because it caught my attention right away because of the contrasting colors but also because of the information displayed. It is crazy to think that since 1950 the American population has more than doubled according to this graph and with the growing population, the numbers of married couples and singles rise too. However, if you look at the percentages of singles they haven't changed all too much. For example, the number of single Americans in 1950 was 37.3M and in 2019 it was 125.7M. Even with such a large population boom the percentage that was never married really hadn't changed going from 69% to 68%.
The presentation of this graph is excellent with the line graph being yellow and on a blue backdrop, it allows it to really stand out. The shape of the graph shows a sharp incline as the population in us explodes. Since this graph is focused on the single population of America it puts the focus on that with stats like "never been married, divorced, widowed" because there are multiple ways to be single and really only one way to be married.
Ashley Thiberville
The above histogram was compiled by the United States Census Bureau to show the rise of one-person households in the US. The Census Bureau is a branch of the Department of Commerce within the United States gov.
Bus 626 Week 6 - Discussion Forum 1Guided Response Respon.docx
Bus 626 Week 6 - Discussion Forum 1
Guided Response: Respond to at least two of your fellow students’ and to your instructor’s posts in a substantive manner and provide information or concepts that they may not have considered. Each response should have a minimum of 100 words. Support your position by using information from the week’s readings. You are encouraged to post your required replies earlier in the week to promote more meaningful and interactive discourse in this discussion forum. Continue to monitor the discussion forum until Day 7 and respond with robust dialogue to anyone who replies to your initial post.
Jocelyn Harnett
Egypt has a sizable trade deficit that has continued to grow through the 21st century. The country has imports that make up a third of GDP and exports that make up one tenth of GDP. Egypt has many critical trade partners that include China, the United States, and the Gulf Arab countries. Throughout history Egypt has had an unstable government which has led to an unstable economy. This is related to the fluctuations the country has experienced in tariffs and taxes. The country has stabilized in recent years, but the historic instability still remains a critical factor when considering the expansion of Wal-Mart into Egypt. The trade deficit would not be a concern under normal conditions due to the fact that this means money is flowing into the country and creating new opportunities, but because the government is not stable Wal-Mart would want to ascertain that money was being invested properly in the future. If money is not being utilized correctly than the trade deficit becomes a concern because future generations are inheriting a debt that had no payback associated with it. The exchange rate of the Egyptian pound has gotten stronger to the US Dollar, which is a good indicator the economy is heading in the correct direction. Wal-Mart expansion could benefit from getting into the market in Egypt at the right time to see major profits.
Egypt is a market that will continue to grow as the internal government becomes stabilized and the country continues to focus on improving the economic welfare of the people. Currently the market in Egypt is volatile and companies that select to make an investment here must be aware of the many different cultural aspects that will affect success. The government is working to “find solutions and solve difficulties for people and businesses” (Bawaba, 2019) and has seen success in the first half of 2019. “At the time of May 31, 2019, the whole country had 721,516 businesses doing business, increasing 23,921 enterprises (3.43 %) compared to the end of 2018.” (Bawaba, 2019). This sort of success validates a foreign company wanting to make an investment, but continued analysis of the country’s government stability will be needed before each new storefront is added.
References:
Bawaba, A. (2019). Egypt : "Reviewing tax policies, finding solutions to solve difficulties for people and .
BUS 499, Week 8 Corporate Governance Slide #TopicNarration.docx
BUS 499, Week 8: Corporate Governance
Slide #
Topic
Narration
1
Introduction
Welcome to Senior Seminar in Business Administration.
In this lesson we will discuss Corporate Governance.
Please go to the next slide.
2
Objectives
Upon completion of this lesson, you will be able to:
Describe how corporate governance affects strategic decisions.
Please go to the next slide.
3
Supporting Topics
In order to achieve these objectives, the following supporting topics will be covered:
Separation of ownership and managerial control;
Ownership concentration;
Board of directors;
Market for corporate control;
International corporate governance; and
Governance mechanisms and ethical behavior.
Please go to the next slide.
4
Separation of Ownership and Managerial Control
To start off the lesson, corporate governance is defined as a set of mechanisms used to manage the relationship among stakeholders and to determine and control the strategic direction and performance of organizations. Corporate governance is concerned with identifying ways to ensure that decisionsare made effectively and that they facilitate strategic competitiveness. Another way to think of governance is to establish and maintain harmony between parties.
Traditionally, U. S. firms were managed by founder- owners and their descendants. As firms became larger the managerial revolution led to a separation of ownership and control in most large corporations. This control of the firm shifted from entrepreneurs to professional managers while ownership became dispersed among unorganized stockholders. Due to these changes modern public corporation was created and was based on the efficient separation of ownership and managerial control.
The separation of ownership and managerial control allows shareholders to purchase stock. This in turn entitles them to income from the firm’s operations after paying expenses. This requires that shareholders take a risk that the firm’s expenses may exceed its revenues.
Shareholders specialize in managing their investment risk. Those managing small firms also own a significant percentage of the firm and there is often less separation between ownership and managerial control. Meanwhile, in a large number of family owned firms, ownership and managerial control are not separated at all. The primary purpose of most large family firms is to increase the family’s wealth.
The separation between owners and managers creates an agencyrelationship. An agency relationship exists when one or more persons hire another person or persons as decision- making specialists to perform a service. As a result an agency relationship exists when one party delegates decision- making responsibility to a second party for compensation. Other examples of agency relationships are consultants and clients and insured and insurer. An agency relationship can also exist between managers and their employees, as well as between top- level managers and the firm’s owners.
The sep.
BUS 499, Week 6 Acquisition and Restructuring StrategiesSlide #.docx
BUS 499, Week 6: Acquisition and Restructuring Strategies
Slide #
Topic
Narration
1
Introduction
Welcome to Business Administration.
In this lesson we will discuss Acquisition and Restructuring Strategies.
Please go to the next slide.
2
Objectives
Upon completion of this lesson, you will be able to:
Identify various levels and types of strategy in a firm.
Please go to the next slide.
3
Supporting Topics
In order to achieve this objective, the following supporting topics will be covered:
The popularity of merger and acquisition strategies;
Reasons for acquisitions;
Problems in achieving acquisition success;
Effective acquisitions; and
Restructuring.
Please go to the next slide.
4
The Popularity of Merger and Acquisition Strategies
The acquisition strategy has been a popular strategy among U.S. firms for many years. Some believe that this strategy played a central role in an effective restructuring of U.S. business during the 1980s and 1990s and into the twenty-first century.
An acquisition strategy is sometimes used because of the uncertainty in the competitive landscape. A firm may make an acquisition to increase its market power because of a competitive threat, to enter a new market because of the opportunity available in that market, or to spread the risk due to the uncertain environment.
The strategic management process calls for an acquisition strategy to increase a firm’s strategic competitiveness as well as its returns to shareholders. Thus, an acquisition strategy should be used only when the acquiring firm will be able to increase its value through ownership of the acquired firm and the use of its assets.
Please go to the next slide.
5
Mergers, Acquisitions, and Takeovers
A merger is a strategy through which two firms agree to integrate their operations on a relatively coequal basis. Few true mergers actually occur, because one party is usually dominant in regard to market share or firm size.
An acquisition is a strategy through which one firm buys a controlling, or one hundred percent, interest in another firm with the intent of making the acquired firm a subsidiary business within its portfolio. In this case, the management of the acquired firm reports to the management of the acquiring firm. Although most mergers are friendly transactions, acquisitions can be friendly or unfriendly.
A takeover is a special type of an acquisition strategy wherein the target firm does not solicit the acquiring firm’s bid. The number of unsolicited takeover bids increased in the economic downturn of 2001 to 2002, a common occurrence in economic recessions; because the poorly managed firms that are undervalued relative to their assets are more easily identified.
On a comparative basis, acquisitions are more common than mergers and takeovers.
Please go to the next slide.
6
Reasons for Acquisitions
There are a number of reasons firms decide to acquire another company. These are:
Increased market power;
Overcoming entry barriers;
Co.
BUS 499, Week 4 Business-Level Strategy, Competitive Rivalry, and.docx
BUS 499, Week 4: Business-Level Strategy, Competitive Rivalry, and Competitive Dynamics
Slide #
Topic
Narration
1
Introduction
Welcome to Senior Seminar in Business Administration.
In this lesson, we will discuss Business-Level Strategy, Competitive Rivalry, and Competitive Dynamics.
Next slide.
2
Objectives
Upon completion of this lesson, you will be able to:
Identify various levels and types of strategy in a firm.
Next slide.
3
Supporting Topics
In order to achieve this objective, the following supporting topics will be covered:
Customers: their relationship with business-level strategies;
The purpose of a business-level strategy;
Types of business-level strategies;
A model of competitive rivalry;
Competitor analysis;
Drivers of competitive actions and responses;
Competitive rivalry;
Likelihood of attack;
Likelihood of response; and
Competitive dynamics.
Next slide.
4
Customer Relationships
Strategic competitiveness results only when the firm is able to satisfy a group of customers by using its competitive advantages as the basis for competing in individual product markets. A key reason firms must satisfy customers with their business-level strategy is that returns earned from relationships with customers are the lifeblood of all organizations. The most successful companies try to find new ways to satisfy current customers and/or meet the needs of new customers.
The firm’s relationships with its customers are strengthened when it delivers superior value to them. Strong interactive relationships with customers often provide the foundation for the firm’s efforts to profitably serve customers’ unique needs.
The reach dimension of relationships with customers is concerned with the firm’s access and connection to customers. Richness is concerned with the depth and detail of the two-way flow of information between the firm and the customer. Affiliation is concerned with facilitating useful interactions with customers.
Deciding who the target customer is that the firm intends to serve with its business-level strategy is an important decision. Companies divide customers into groups based on differences in the customers’ needs to make this decision. Dividing customers into groups based on their needs is called market segmentation, which is a process that clusters people with similar needs into individual and identifiable groups.
Next slide.
5
Customer Relationships, continued
After the firm decides who it will serve, it must identify the targeted customer group’s needs that its good or services can satisfy. Successful firms learn how to deliver to customers what they want and when they want it. In a general sense, needs are related to a product’s benefits and features. Having close and frequent interactions with both current and potential customers helps firms identify those individuals’ and groups’ current and future needs.
As explained in previous lessons, core competencies are resources and capabilities that serve as a source of.
BUS 437 Project Procurement Management Discussion QuestionsWe.docx
BUS 437 Project Procurement Management Discussion Questions
Week 2 Discussion
“Effective Management.” There are three (3) recommendations for effective management of projects in concurrent multiphase environments: Organizational System Design, System Implementation, and Managing in Concurrent Engineering.· Which of these three (3) recommendations for effective management would you or do you use most often? Why?
Week 3 Discussion
Top of Form
“Managing Configuration and Data for Effective Project Management.” The process protocol model consists of thirteen (13) steps from Inception to Feedback.· What are the steps?· Can any be skipped in this process model? What are the steps?
Week 4 Discussion“Organizational Project Management Maturity Model.” Students will respond to the following:· What is the four-step process of innovation and learning and how can your organization apply these steps to manage a project?· Of the five (5) levels of an organizational project management maturity model, which level is often the most difficult to manage? Why?
INTEGRATED SEMESTER ASSIGNMENT
(FINC 300, INFO 300, MGMT 300, MKTG 300)
DUE: April 12, 2019
INSTRUCTIONS:
The objective of the integrated semester is to help you extend your knowledge of how the finance,
operations, management, and marketing disciplines work and how they integrate their functioning in
the real world of business. This assignment is an assessment of how well you understand this
integration. It is worth 10% of your course grade.
YOUR ASSIGNMENT IS TO ANSWER ALL OF THE QUESTIONS, IN A SINGLE DOCUMENT:
• The assignment should be prepared as a Word document, 12 -14 pages in length (approx. 3
pages for each discipline’s questions).
• The document should be double spaced, using Ariel font #12.
• Label each section (e.g., FINANCE) to indicate which discipline’s questions you are
answering.
• Add any Appendices at the end of the Word document.
• Upload the entire Word file through the link on Canvas to each of your Integrated Semester
courses by the due date.
Note: Your reference sources, in addition to the base case and question sets, should be online sites
and articles, Bloomberg terminals, your Integrated Semester textbooks and PowerPoint slides. Also
note, Turnitin, a software tool that improves writing and prevents plagiarism, will be used to assess
your sourcing of information. Do your own work.
FINANCE ASSIGNMENT
The objective of the integrated semester is to help you extend your knowledge of how the finance,
operations, management, and marketing disciplines work and how they integrate their functioning in
the real world of business. This assignment is an assessment of how well you understand this
integration. It is worth 10% of your course grade.
Use either the Bloomberg terminals located at the Feliciano School of Business or other reputable
sources such as finance.yahoo.com, morningstar.com or Wall Street Jo.
BUS 480.01HY Case Study Assignment Instructions .docx
BUS 480.01HY Case Study Assignment
Instructions
Instructions: Each of you have been assigned a company to complete a case study analysis report.
The case distribution can be found on BlackBoard (course content -> case study analysis - > case
study distribution). Complete a thorough research on your company in order to complete the
analysis. It is required for you to use scholarly journals and peer-reviewed articles, which can be
found on the University’s website in the library section. I have provided you with very detailed
information on how to complete a thorough case analysis report. I am available during my office
hours to discuss. I will also schedule a case analysis session during lunch time this week. If you are
able to make it, please attend for one-on-one assistance.
Your “draft is due this Thursday, October 11th. I am not looking for perfection here, but please do
your best in writing and researching. Your final product will be due on Thursday, October 18th.
BUS 480.01HY Case Study Assignment
Instructions
1. Format – please review the case study format guidelines placed on BlackBoard
The use of headers and sub-headers is strongly suggested
2. Submission
1. Submit to BlackBoard (course content -> case study analysis - > Case Study Analysis
Report). Failure to submit in proper area will result in a 0.
3. Introduction
In 3-4 paragraphs describe the case facts and background. This should include BRIEF
information about the firm, however do NOT simply duplicate what is in the case itself.
As things change quickly in business, you may wish to check the current status of the
firm and briefly discuss the most current information.
4. Body
This should be about 4-5 pages in length (minimum – this is only a guideline). Review
posted guidelines for more information/detail
a) State the Problem/Key Issues
What are the key marketing or business issues in the case? These might be problems,
opportunities or challenges the firm is facing. For example:
o Sales have declined by 10 percent in the last year.
o The competition has launched a new and innovative product.
o Consumer tastes have changed and the firm’s most successful product is at risk.
o The CEO made a public racial slur and has affected the company internally and
externally.
5. Conclusion (include recommendations in this section)
For the issues you identified above, you must identify potential solutions and analyze
each of them. For example, for the decline in sales noted above we might try any of the
following, among other options:
1. increase advertising
2. develop a new product
3. implement diversity training
4. launch a brand awareness campaign
For each of the alternatives, you should analyze the costs, benefits, resources required
and possible outcomes. Typically, you will have 3-4 of these alternatives. Any given
alternative solution might address multiple issues. If t.
BUS 308 Week 5 Lecture 3 A Different View Effect Sizes .docx
BUS 308 Week 5 Lecture 3
A Different View: Effect Sizes
Expected Outcomes
After reading this lecture, the student should be familiar with:
1. What effect size measures exist for different statistical tests.
2. How to interpret an effect size measure.
3. How to calculate an effect size measure for different tests.
Overview
While confidence intervals can give us a sense of how much variation is in our decisions,
effect size measures help us understand the practical significance of our decision to reject the
null hypothesis. Not all statistically significant results are of the same importance in decision
making. A difference in means of 25 cents is more important with means around a dollar than
with means in the millions of dollars, yet with the right sample size both groups can have this
difference be statistically significant.
Effect size measures help us understand the practice importance of our decision to reject
the null hypothesis.
Excel has limited functions available for us to use on Effect Size measures. We generally
need to take the output from the other functions and generate our Effect Size values.
Effect Sizes
One issue many have with statistical significance is the influence of sample size on the
decision to reject the null hypothesis. If the average difference in preference for a soft drink was
found to be ½ of 1%; most of us would not expect this to be statistically significant. And,
indeed, with typical sample sizes (even up to 100), a statistical test is unlikely to find any
significant difference. However, if the sample size were much larger; for example, 100,000; we
would suddenly find this miniscule difference to be significant!
Statistical significance is not the same as practical significance. If for example, our
sample of 100,000 was 1% more in favor of an expensive product change, would it really be
worthwhile making the change? Regardless of how large the sample was, it does not seem
reasonable to base a business decision on such a small difference.
Enter the idea of Effect Size. The name is descriptive but at the same time not very
illuminating on what this measure does. We will get to specific measures shortly, but for now,
let’s look at how an Effect Size measure can help us understand our findings. First, the name:
Effect Size. What effect? What size? In very general terms, the effect we are monitoring is the
effect that occurs when we change one of the variables. For example, is there an effect on the
average compa-ratio when we change from male to female. Certainly, but not all that much, as
we found no significant difference between the average male and female compa-ratios. Is there
an effect when we change from male to female on the average salary? Definitely. And it is
much larger than what we observed on the compa-ratio means. We found a significant
difference in the average salary for males than females – around $14,000.
The Effect Siz.
BUS 308 Week 2 Lecture 1 Examining Differences - overview .docx
BUS 308 Week 2 Lecture 1
Examining Differences - overview
Expected Outcomes
After reading this lecture, the student should be familiar with:
1. The importance of random sampling.
2. The meaning of statistical significance.
3. The basic approach to determining statistical significance.
4. The meaning of the null and alternate hypothesis statements.
5. The hypothesis testing process.
6. The purpose of the F-test and the T-test.
Overview
Last week we collected clues and evidence to help us answer our case question about
males and females getting equal pay for equal work. As we looked at the clues presented by the
salary and comp-ratio measures of pay, things got a bit confusing with results that did not see to
be consistent. We found, among other things, that the male and female compa-ratios were fairly
close together with the female mean being slightly larger. The salary analysis showed a different
view; here we noticed that the averages were apparently quite different with the males, on
average, earning more. Contradictory findings such as this are not all that uncommon when
examining data in the “real world.”
One issue that we could not fully address last week was how meaningful were the
differences? That is, would a different sample have results that might be completely different, or
can we be fairly sure that the observed differences are real and show up in the population as
well? This issue, often referred to as sampling error, deals with the fact that random samples
taken from a population will generally be a bit different than the actual population parameters,
but will be “close” enough to the actual values to be valuable in decision making.
This week, our journey takes us to ways to explore differences, and how significant these
differences are. Just as clues in mysteries are not all equally useful, not all differences are
equally important; and one of the best things statistics will do for us is tell us what differences
we should pay attention to and what we can safely ignore.
Side note; this is a skill that many managers could benefit from. Not all differences in
performances from one period to another are caused by intentional employee actions, some are
due to random variations that employees have no control over. Knowing which differences to
react to would make managers much more effective.
In keeping with our detective theme, this week could be considered the introduction of
the crime scene experts who help detectives interpret what the physical evidence means and how
it can relate to the crime being looked at. We are getting into the support being offered by
experts who interpret details. We need to know how to use these experts to our fullest
advantage. 😊😊
Differences
In general, differences exist in virtually everything we measure that is man-made or
influenced. The underlying issue in statistical analysis is that at times differences are important.
When measu.
BUS 340 Week 5BUS 340 Business CommunicationsWee.docx
BUS 340
Week 5
BUS 340
Business Communications
Week 5
It is imperative that we make this last week of class a priority. You’ve made it this far – you are almost to the finish line!
Take advantage of your peers knowledge and experience in the discussion forums
Ask questions if you have them. I am here to help you succeed
BUS 340: Business Communications
Introduction to Week 5
In our last week together, we will examine practices for creating and delivering oral presentations. Since ours is a virtual classroom, this means that what we are unable to convey verbally will be that much more critical to demonstrate via the written word.
As such, this topic will expand to evaluate the component of effective online presentations.
Overview & Requirements
Read: Chapters 13-176 in our text book
Two Discussion Questions: Original Post due by Thursday, 11:59pm
Respond to at least two classmates (or your instructor) for each discussion question: Due by Monday 11:59 pm
Week 3 Assignment: Business Proposal Due by Monday 11:59 pm
Review: Coughlin and Mishra’s article (located under Required Resources)
Week 5
Bovee, C. L. & Thill, J. V. (2016). Business communication today. (13th ed.).
Chapter 13: Finding, Evaluating, and Processing Information
Chapter 14: Planning Reports and Proposals
Chapter 15: Writing and Completing Reports and Proposals
Chapter 16: Developing Presentations in a Social Media Environment
Chapter 17: Enhancing Presentations with Slides and Other Visuals
Coughlin, D. (2014). Focusing on the fundamentals of effective communication within an organization. Effective Executive, 17(1).
Mishra, S. (2015). Effective communication for corporate sector: A need for a paradigm shift. Indian Journal of Health and Wellbeing, 6(7).
Week 5
Required Reading
London, M., & Mone, E. (2012). Leadership for today and the future. (1st. ed.). San Diego, CA: Bridgepoint Education, Inc.
5
This week we will:
Craft an effective message for electronic media
Assess practices for creating and delivering oral presentations
Evaluate the components of effective online presentations
Create a business proposal that identifies the benefits of change
Week 5
Objectives for Week 5
ActivityDue DateFormat Grading Percent Read Chapters 13-17Forecast PresentationsDay 3
(1st post) Discussion 4Respond to at least two classmates’ (or your instructor’s) postsDay 7DiscussionIncluded as part of 2 pts Enhancing Presentations Day 3
(1st post) Discussion 4Respond to at least two classmates’ (or your instructor’s) postsDay 7DiscussionIncluded as part of 4 pts Business ProposalDay 7 Assignment 25
Week 5
7
In our contemporary organizations, business communication is far more detailed and complex than most people in the workplace realize.
Without acute attention to detail, many people in the workplace miss details that prove critical to successful business communication
Week 5
8
Tips for Creating & Delivering effective
oral present.
BUS 308 – Week 4 Lecture 2 Interpreting Relationships .docx
BUS 308 – Week 4 Lecture 2
Interpreting Relationships
Expected Outcomes
After reading this lecture, the student should be able to:
1. Interpret the strength of a correlation
2. Interpret a Correlation Table
3. Interpret a Linear Regression Equation
4. Interpret a Multiple Regression Equation
Overview
As in many detective stories, we will often find that when one thing changes, we see that
something else has changed as well. Moving to correlation and regression opens up new insights
into our data sets, but still lets us use what we have learned about Excel tools in setting up and
generating our results.
The correlation between events is mirrored in data analysis examinations with correlation
analysis. This week’s focus changes from detecting and evaluating differences to looking at
relationships. As students often comment, finding significant differences in gender-based
measures does not explain why these differences exist. Correlation, while not always explaining
why things happen gives data detectives great clues on what to examine more closely and helps
move us towards understanding why outcomes exist and what impacts them. If we see
correlations in the real world, we often will spend time examining what might underlie them;
finding out if they are spurious or causal.
Regression lets us use relationships between and among our variables to predict or
explain outcomes based upon inputs, factors we think might be related. In our quest to
understand what impacts the compa-ratio and salary outcomes we see, we have often been
frustrated due to being basically limited to examining only two variables at a time, when we felt
that we needed to include many other factors. Regression, particularly multiple regression, is the
tool that allows us to do this.
Linear Correlation
When two things seem to move in a somewhat predictable way, we say they are
correlated. This correlation could be direct or positive, both move in the same direction, or it
could be inverse or negative, where when one increases the other decreases. The Law of Supply
in economics is a common example of an inverse (or negative) correlation, where the more
supply we have of something, the less we typically can charge for it; the Law of Demand is an
example of a direct (or positive) correlation as the more demand exists for something, the more
we can charge for it. Height and weight in young children is another common example of a
direct correlation, as one increases so does the other measure.
Probably the most commonly used correlation is the Pearson Correlation Coefficient,
symbolized by r. It measures the strength of the association – the extent to which measures
change together – between interval or ratio level measures as well as the direction of the
relationship (inverse or direct). Several measures in our company data set could use the Pearson
Correlation to show relationships; salary and midpoint, salary and yea.
BUS 308 Week 3 Lecture 1 Examining Differences - Continued.docx
BUS 308 Week 3 Lecture 1
Examining Differences - Continued
Expected Outcomes
After reading this lecture, the student should be familiar with:
1. Issues around multiple testing
2. The basics of the Analysis of Variance test
3. Determining significant differences between group means
4. The basics of the Chi Square Distribution.
Overview
Last week, we found out ways to examine differences between a measure taken on two
groups (two-sample test situation) as well as comparing that measure to a standard (a one-sample
test situation). We looked at the F test which let us test for variance equality. We also looked at
the t-test which focused on testing for mean equality. We noted that the t-test had three distinct
versions, one for groups that had equal variances, one for groups that had unequal variances, and
one for data that was paired (two measures on the same subject, such as salary and midpoint for
each employee). We also looked at how the 2-sample unequal t-test could be used to use Excel
to perform a one-sample mean test against a standard or constant value. This week we expand
our tool kit to let us compare multiple groups for similar mean values.
A second tool will let us look at how data values are distributed – if graphed, would they
look the same? Different shapes or patterns often means the data sets differ in significant ways
that can help explain results.
Multiple Groups
As interesting as comparing two groups is, often it is a bit limiting as to what it tells us.
One obvious issue that we are missing in the comparisons made last week was equal work. This
idea is still somewhat hard to get a clear handle on. Typically, as we look at this issue, questions
arise about things such as performance appraisal ratings, education distribution, seniority impact,
etc.
Some of these can be tested with the tools introduced last week. We can see, for
example, if the performance rating average is the same for each gender. What we couldn’t do, at
this point however, is see if performance ratings differ by grade, do the more senior workers
perform relatively better? Is there a difference between ratings for each gender by grade level?
The same questions can be asked about seniority impact. This week will give us tools to expand
how we look at the clues hidden within the data set about equal pay for equal work.
ANOVA
So, let’s start taking a look at these questions. The first tool for this week is the Analysis
of Variance – ANOVA for short. ANOVA is often confusing for students; it says it analyzes
variance (which it does) but the purpose of an ANOVA test is to determine if the means of
different groups are the same! Now, so far, we have considered means and variance to be two
distinct characteristics of data sets; characteristics that are not related, yet here we are saying that
looking at one will give us insight into the other.
The reason is due to the way the variance is an.
BUS 308 Week 2 Lecture 3 Setting up the F and T tests in E.docx
BUS 308 Week 2 Lecture 3
Setting up the F and T tests in Excel
After reading this lecture, the student should know:
1. How to set up data lists for the F and T tests.
2. How to set-up and conduct the F test (both options) produced by Excel
3. How to set-up and conduct the T-test produced by Excel
Overview
One of the nice characteristics of Excel is that setting up and running most functions and
tests is done in a very similar fashion, only having specific test related differences showing up in
the different functions and tests.
This lecture will cover setting up data ranges that will be used for all of our statistical
functions. It will then move into setting up the F and T tests specifically.
Setting up Data
While in the hypothesis testing procedure it was said to set up steps 1 – 4 before even
looking at the data, we can set up the data columns to be used at any time. The set-up is simple
and straightforward. But, we have a couple of questions to answer before we set things up.
Since this week needs us to compare male and female outcomes (and Degree outcomes in
Question 3), we need to decide how we want our data to look. Sticking strictly with the gender
related data (you can do similar things with the degree data when ready), we need to decide if we
want our key data (compa-ratios, salary, etc.) to be in a long column or in two columns. An
example of both is shown in the screen shot below.
Notice that Column S contains all of the compa-ratio values (all 50 if we could see the
entire range) and that they are grouped by gender, with the first 25 rows being female values and
the last 25 rows being male values. The other way to display the data values is to have them
listed in separate columns, such as shown in columns Q and R – each having a label heading.
Start by looking at what variables the questions are asking for. For week 2, we have
Questions 1 and 2 asking for the same variables – compa-ratio and gender1, so we can use the
same location for both questions. Question 3 asks for a different set of variables, compa-ratio
and degree, so we should set up a different area for that question. Remember, it is best to
NEVER sort the data on the data tab. An error in sorting that missed a column could mess up the
data set and make it unusable for other problems.
In either case, copy the entire data column of interest (for example, compa-ratio,
Gender1, Degree, etc.) from the Data Tab to the weekly worksheet. Highlight the entire data
range of interest including the label in row 1, then press Control + C at the same time. Go over
to the weekly work sheet and find a column to the right of the work area (generally columns Q or
higher will be OK) and press Control + V at the same time. Repeat this for all the variables you
need.
After pasting the variables, use the Sort function in the Data tab to arrange them in
whatever order you want. You can do multiple sorts at the same time w.
BUS 308 Week 3 Lecture 3 Setting up ANOVA and Chi Square .docx
BUS 308 Week 3 Lecture 3
Setting up ANOVA and Chi Square
Expected Outcomes
After reading this lecture, the student should know how to:
1. Set-up the data for an ANOVA analysis.
2. Set-up and perform an ANOVA test.
3. Set-up a table of mean differences.
4. Set-up and perform a Chi Square test.
Overview
Setting up the ANOVA test is quite similar to how the t and F tests were set up. The Chi
Square set-up is a bit more complex, as it is not found in the Data Analysis list of tools.
ANOVA
The set-up of ANOVA within Excel is very similar to how we set up the F and T tests
last week; place the data set in appropriate groups and then use the ANOVA input box. One
difference this week is that the Fx (or Formulas) list does not include an option for ANOVA, so
we need to use the Data | Analysis tools.
Data Set-up
Single Factor. As with the t-test, ANOVA has a couple of versions to select between.
Each is used to answer slightly different questions, and these will be examined below. The most
significant difference lies in the data table used for each version.
We will be working primarily with the ANOAV Single Factor, which deals with
examining possible differences between the means of a single variable within different groups.
A question of whether or not the mean compa-ratios are equal across the grades is an example of
the kind of question answered with this approach.
Question 1. Week 3’s first question is about salary mean equality across the grades. Our
lecture example will deal with compa-ratio mean equality across the grades. The set-up for the
Single Factor ANOVA we just went through assumed this. The initial steps in the hypothesis
testing process are similar to what we have done before:
Step 1: Ho: All Compa-Ratio means are equal across the grades
Ha: At least one compa-ratio mean differs
Notice that these are the standard ANOVA – Single factor null and alternate hypothesis
statements that identify the specific variable (compa-ratio) and statistic (mean) that we
are testing, and merely say “no difference” and “at least one differs.”
Step 2: Alpha = 0.05
Step 3: F statistic and Single Factor ANOVA; used to test multiple means
Step 4: Decision Rule: Reject Ho if the p-value < 0.05
Step 5: Conduct the test – place the test function in cell K08.
As with the F and T tests, we need to group the data into distinct groups. For example, if
we are going to test the compa-ratio mean across grades, then the data must be set-up in a
table with grades across the top, as in the screen shot below. Note that as was done with
the T and F test input data, the raw or initial data was listed and then sorted. Values were
then copied into related groups; we used male and female groups for the F and t tests and
grade groups for this test.
Test Set-up. Go to the Data | Analysis and select ANOVA Single Factor gives us the
following input screen. This is completed for our compa-ratio.
BUS 307 Final Project Guidelines and Rubric Overview .docx
BUS 307 Final Project Guidelines and Rubric
Overview
Business law plays an integral part in both our personal and professional lives. A solid grasp of essential business law concepts is critical for the successful
navigation of complex and diverse business environments. You will assess relevant legal issues as well as apply the discipline-specific knowledge necessary to
successfully address real-world business situations such as business formation and management, liability issues, and compliance with government and industry
regulations, as well as to effectively communicate issues and facts to peers and professionals.
The final project represents an authentic competency, as you will have the opportunity to present your analysis of the legal and ethical issues involved in three
hypothetical business scenarios as well as to evaluate and make recommendations to avoid such issues in the future.
This assessment addresses the following course outcomes:
Apply the law regarding business relationships, such as agency law, partnership, and corporate law as strategies for appropriate and effective business
management
Analyze issues of real and personal property as they pertain to business formation and management
Determine the legal rights and duties of the parties to commercial paper for their impact on fundamental business operations
Analyze the rights and duties of the parties in credit transactions, including secured transactions and bankruptcy law, as they apply to fundamental
business operations
Evaluate the impact of government regulation on business practices for strategic and compliance purposes
Prompt
The final project for this course consists of two milestones and the final project submission. Milestones One and Two take the form of short answers crafted in
memo format from the perspective of a corporate attorney making recommendations to a client. For Case Studies 1 and 2, craft a professional memo for each,
appropriate in format, tone, and content, to send to your clients Fred and Sally, with your preliminary thoughts on the issues within. Your memos should illustrate
the issues and relevant law, apply the facts, and support your conclusions with regard to each issue. Always remember to be clear, kind, and professional in your
communications. The third element, Case Study 3, will be a short, 2–3-page essay in APA format that will require you to independently issue-spot as well as
provide a factual analysis of relevant law and recommendations. You will receive feedback on both milestones and the initial element of Case Study 3. Make any
necessary revisions and then include them all in the final submission, where you will label them as Case Study 1, 2, and 3.
Case Study 1
Fred is well known in his town for his homeopathic cough syrup. After years of encouragement, he has decided to take his miracle cough remedy to market as
“Fred’s Miracle Cough Syrup.” While his cough syrup is homeop.
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