STAT212Assignment#6.docx
Description
In each of the 4 research scenarios and datasets below.
1. Read about the variables present, and formulate your default expectations about the relationship
between two variables or groups. State these as your null and alternate hypotheses for this problem.
Feel free to re-code the data to help formulate your hypothesis (for example, splitting a continuous
measurement into two ordinal groups, "High" and "Low".)
2. What sort of measurements would help you evaluate your null hypothesis? compute sample statis-
tics (center, dispersion, correlation) that will allow you to see if the data is consistent with your
null or alternate hypothesis?
3. Create a graph that visually depicts the relationship between the variables in your hypothesis.
Does the graph provide convincing evidence for one of your hypothesis? Explain why or why not.
Scenario 1
The _le BodyFat.csv contains Body Fat percentage measurements, age, weight, density, height, and
various body part circumference measurements. for over 200 male subjects.
Scenario 2
The _le BestCity.csv contains various measurements of quantities associated with the quality of life in
a collection of 20 different cities across the US.
Scenario 3
The _le Normtemp.csv contains various average body temperature, gender, and heart rates for 130
participants.
Scenario 4
The _le Titanic.csv contains information on those aboard the Titanic passenger class (0-crew, 1-_rst,
2-second, 3-third), Adult (1-yes, 0-no), Gender (0-Women, 1-Men), and survival status (1-yes, 0-no).
Due 3/13/20
1
BestCity.csvCityIncomeCommuteJob GrowthPhysiciansMurder RateRape RateGolfRestaurantsHousingMedian AgeLiteracyHousehold IncomeRecreationA26000.049.210.81987.05.351.3925.05582.0109400.035.35.268000.02620.0B29300.045.39.5517.06.650.8364.09988.097000.043.26.070400.03066.0C24800.039.88.2592.08.277.71627.020511.0114700.029.59.460500.01297.0D27900.046.87.63310.06.751.2956.08946.099100.040.54.665900.02902.0E37500.039.912.2975.05.140.1426.04000.0122200.047.15.684700.02214.0F31900.049.57.72238.06.938.01459.08970.0145300.039.34.875800.01402.0G25300.044.45.4611.04.538.81063.09570.099500.038.66.862600.02900.0H22000.044.86.2272.07.565.7951.019101.076400.041.62.854800.02448.0I29400.044.97.8381.08.448.7349.012099.0112500.041.84.572900.02756.0J42400.044.78.01812.08.145.4397.010953.0143500.041.25.2100000.02508.0K40500.040.010.9294.08.069.6191.02655.0173600.041.76.4102000.03000.0L24700.038.79.0196.02.819.0449.015796.0129200.033.41.765300.01570.0M24400.041.18.7404.07.377.21590.016001.0126500.030.65.662200.01713.0N22400.042.88.3534.05.757.91160.016712.0102700.034.52.259200.02190.0O22200.037.88.4166.05.650.9815.011856.0110300.035.42.757100.02142.0P27500.048.48.11553.014.083.61195.012348.0107400.034.34.072000.02657.0Q23100.044.54.7502.07.942.7556.065804.0116000.038.52.159400.02066.0R25000.041.413.9172.04.017.8459.036151.0120000.052.73.657300.01467.0S25800.053.55.34143.016.857.43054.014310.0132800.036.25.071900.03520.0T2260.
Ashford 2: - Week 1 - Instructor Guidance
Week Overview:
The following video series: Against All Odds Inside Statistics is helpful if you would like to watch it.
http://www.learner.org/resources/series65.html?pop=yes&pid=3138
For this week, we’ll learn that statistics is the science of collecting, organizing, presenting, analyzing, and interpreting numerical data to assist in making more effective decisions.
In today’s world, numerical information is everywhere. Statistical techniques are used to make decisions that affect our daily lives. The knowledge of statistical methods will help you understand how decisions are made and give you a better understanding of how they affect you. No matter what line of work you select, you will find yourself faced with decisions where an understanding of data analysis is helpful.
The concepts introduced this week include levels of measurement, measurements of center, variations, etc. Normal distribution and calculations are introduced in this week.
Measurements
You should be able to distinguish among the nominal, ordinal, interval, and ratio levels of measurement.
Nominal level - data that is classified into categories and cannot be arranged in any particular order.
EXAMPLES: eye color, gender, religious affiliation.
Ordinal level – data arranged in some order, but the differences between data values cannot be determined or are meaningless.
EXAMPLE: During a taste test of 4 soft drinks, Mellow Yellow was ranked number 1, Sprite number 2, Seven-up number 3, and Orange Crush number 4.
Interval level - similar to the ordinal level, with the additional property that meaningful amounts of differences between data values can be determined. There is no natural zero point.
EXAMPLE: Temperature on the Fahrenheit scale.
Ratio level - the interval level with an inherent zero starting point. Differences and ratios are meaningful for this level of measurement.
EXAMPLES: Monthly income of surgeons, or distance traveled by manufacturer’s representatives per month.
Why do you need to know the level of measurement of a data? This is because the level of measurement of the data dictates the calculations that can be done to summarize and present the data. It also determines the statistical tests that should be performed on the data.
Probability
PROBABILITY is a value between zero and one, inclusive, describing the relative possibility (chance or likelihood) an event will occur.
There are three ways of assigning probability:
1. Classical Probability
This is based on the assumption that the outcomes of an experiment are equally likely.
2. Empirical Probability
The probability of an event happening is the fraction of the time similar events happened in the past.
Example: On February 1, 2003, the Space Shuttle Columbia exploded. This was the second disaster in 113 space missions for NASA. On the basis of this information, what is the probability that a future mission is successfully completed?
Probability of successful flight ...
Social Science Statistics STA2122.501 ● ONLINE Project 3ChereCheek752
This document provides instructions and materials for a project comparing social values and attitudes between countries using data from the World Values Survey. Students are asked to select two variables - one for grouping countries and one for a social value - perform descriptive statistics and a t-test, and write a report relating their findings to a UN Sustainable Development Goal. Options for analyses comparing views of competition between Japan and the US, views of domestic violence between Sweden and the US, and views of technology between China and the US are provided.
Social Science Statistics STA2122.501 ● ONLINE Project 3.docxrosemariebrayshaw
This document provides instructions and materials for a project comparing social values and attitudes between countries using data from the World Values Survey. Students are asked to select two variables - one for a dichotomous grouping (e.g. country) and one for a social value outcome. They then conduct background research on the variable and its relationship to UN Sustainable Development Goals, state a hypothesis comparing the two countries, perform statistical analyses in SPSS including descriptive statistics and an independent samples t-test, make a decision about their hypothesis, and reflect on what the results say about the social issue and further research needed. The document includes a grading rubric, example analyses, and appendices with the variable codebook and SPSS analysis instructions
Case Study 2 SCADA WormProtecting the nation’s critical infra.docxwendolynhalbert
Case Study 2: SCADA Worm
Protecting the nation’s critical infrastructure is a major security challenge within the U.S. Likewise, the responsibility for protecting the nation’s critical infrastructure encompasses all sectors of government, including private sector cooperation. Search on the Internet for information on the SCADA Worm, such as the article located athttp://www.theregister.co.uk/2010/09/22/stuxnet_worm_weapon/.
Write a three to five (3-5) page paper in which you:
1. Describe the impact and the vulnerability of the SCADA / Stuxnet Worm on the critical infrastructure of the United States.
2. Describe the methods to mitigate the vulnerabilities, as they relate to the seven (7) domains.
3. Assess the levels of responsibility between government agencies and the private sector for mitigating threats and vulnerabilities to our critical infrastructure.
4. Assess the elements of an effective IT Security Policy Framework, and how these elements, if properly implemented, could prevent or mitigate and attack similar to the SCADA / Stuxnet Worm.
5. Use at least three (3) quality resources in this assignment. Note: Wikipedia and similar Websites do not qualify as quality resources.
Your assignment must follow these formatting requirements:
· Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA or school-specific format. Check with your professor for any additional instructions.
· Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length.
The specific course learning outcomes associated with this assignment are:
· Identify the role of an information systems security (ISS) policy framework in overcoming business challenges.
· Compare and contrast the different methods, roles, responsibilities, and accountabilities of personnel, along with the governance and compliance of security policy framework.
· Describe the different ISS policies associated with the user domain.
· Analyze the different ISS policies associated with the IT infrastructure.
· Use technology and information resources to research issues in security strategy and policy formation.
· Write clearly and concisely about Information Systems Security Policy topics using proper writing mechanics and technical style conventions.
DataIDSalaryCompaMidpoint AgePerformance RatingServiceGenderRaiseDegreeGender1GrStudents: Copy the Student Data file data values into this sheet to assist in doing your weekly assignments.1601.053573485805.70METhe ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)? 226.80.866315280703.90MBNote: to simplfy the analysis, we will assume that jobs within each grade comprise equal work.334.71.120313075513.61FB457.91.01657 ...
This document provides an overview of course materials for QNT/275 Statistics for Decision Making. It includes prompts for weekly assignments that involve defining statistics, distinguishing quantitative and qualitative data, describing data measurement levels and the role of statistics in business decision making. It also includes a business scenario and data set for analysis, as well as sample quiz questions covering topics like data types, measures of central tendency, probability, and random variables.
About Your Signature Assignment.docxAbout Your Signature Assig.docxransayo
The document provides instructions for a signature assignment for a statistics course. It outlines 4 parts to the assignment: preliminary analysis, descriptive statistics, inferential statistics, and conclusion/recommendations. Students will analyze one of 4 databases (manufacturing, hospital, consumer food, or financial) and write a 1,600-word statistical report addressing the objectives, data, analyses, and conclusions for the selected database. The document provides details on the content and format required for each part of the assignment.
Histograms and Descriptive Statistics Scoring GuideCRITERIANON.docxpooleavelina
Histograms and Descriptive Statistics Scoring Guide
CRITERIA
NON-PERFORMANCE
BASIC
PROFICIENT
DISTINGUISHED
Apply the appropriate SPSS procedures for creating histograms to generate relevant output.
Does not provide SPSS output.
Provides SPSS output with errors.
Applies the appropriate SPSS procedures for creating histograms to generate relevant output.
Analyzes the histogram output, demonstrating insight and understanding of relevant data.
Interpret histogram results, including concepts of skew, kurtosis, outliers, symmetry, and modality.
Does not provide an interpretation of histogram results.
Provides an interpretation of histogram results.
Interprets histogram results, including concepts of skew, kurtosis, outliers, symmetry, and modality.
Evaluates histogram results, including concepts of skew, kurtosis, outliers, symmetry, and modality.
Analyze the strengths and limitations of examining a distribution of scores with a histogram.
Does not identify the strengths and limitations of examining a distribution of scores with a histogram.
Identifies the strengths and limitations of examining a distribution of scores with a histogram.
Analyzes the strengths and limitations of examining a distribution of scores with a histogram.
Evaluates the strengths and limitations of examining a distribution of scores with a histogram. Demonstrates insight and understanding of relevant data.
Apply the appropriate SPSS procedure for generating descriptive statistics to generate relevant output.
Does not provide SPSS output.
Includes some, but not all, of the required output. Numerous errors in SPSS output.
Applies the appropriate SPSS procedure for generating descriptive statistics to generate relevant output.
Applies the appropriate SPSS procedure for generating descriptive statistics to generate relevant output. Includes all relevant output; no irrelevant output is included. No errors in SPSS output.
Analyze meaningful versus meaningless variables reported in descriptive statistics.
Does not identify meaningful versus meaningless variables reported in descriptive statistics.
Identifies meaningful versus meaningless variables reported in descriptive statistics.
Analyzes meaningful versus meaningless variables reported in descriptive statistics.
Evaluates meaningful versus meaningless variables reported in descriptive statistics.
Interpret descriptive statistics for meaningful variables.
Does not identify meaningful variables.
Identifies meaningful variables.
Interprets descriptive statistics for meaningful variables.
Evaluates descriptive statistics for meaningful variables.
Apply the appropriate SPSS procedures for creating z scores and descriptive statistics to generate relevant output.
Does not provide SPSS output.
Provides SPSS output with errors.
Applies the appropriate SPSS procedures for creating z scores and descriptive statistics to generate relevant output.
Analyzes the z scores and descriptive statistics output, demonstrating insight and understand ...
BUS308 – Week 1 Lecture 2 Describing Data Expected Out.docxcurwenmichaela
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.
Ashford 2: - Week 1 - Instructor Guidance
Week Overview:
The following video series: Against All Odds Inside Statistics is helpful if you would like to watch it.
http://www.learner.org/resources/series65.html?pop=yes&pid=3138
For this week, we’ll learn that statistics is the science of collecting, organizing, presenting, analyzing, and interpreting numerical data to assist in making more effective decisions.
In today’s world, numerical information is everywhere. Statistical techniques are used to make decisions that affect our daily lives. The knowledge of statistical methods will help you understand how decisions are made and give you a better understanding of how they affect you. No matter what line of work you select, you will find yourself faced with decisions where an understanding of data analysis is helpful.
The concepts introduced this week include levels of measurement, measurements of center, variations, etc. Normal distribution and calculations are introduced in this week.
Measurements
You should be able to distinguish among the nominal, ordinal, interval, and ratio levels of measurement.
Nominal level - data that is classified into categories and cannot be arranged in any particular order.
EXAMPLES: eye color, gender, religious affiliation.
Ordinal level – data arranged in some order, but the differences between data values cannot be determined or are meaningless.
EXAMPLE: During a taste test of 4 soft drinks, Mellow Yellow was ranked number 1, Sprite number 2, Seven-up number 3, and Orange Crush number 4.
Interval level - similar to the ordinal level, with the additional property that meaningful amounts of differences between data values can be determined. There is no natural zero point.
EXAMPLE: Temperature on the Fahrenheit scale.
Ratio level - the interval level with an inherent zero starting point. Differences and ratios are meaningful for this level of measurement.
EXAMPLES: Monthly income of surgeons, or distance traveled by manufacturer’s representatives per month.
Why do you need to know the level of measurement of a data? This is because the level of measurement of the data dictates the calculations that can be done to summarize and present the data. It also determines the statistical tests that should be performed on the data.
Probability
PROBABILITY is a value between zero and one, inclusive, describing the relative possibility (chance or likelihood) an event will occur.
There are three ways of assigning probability:
1. Classical Probability
This is based on the assumption that the outcomes of an experiment are equally likely.
2. Empirical Probability
The probability of an event happening is the fraction of the time similar events happened in the past.
Example: On February 1, 2003, the Space Shuttle Columbia exploded. This was the second disaster in 113 space missions for NASA. On the basis of this information, what is the probability that a future mission is successfully completed?
Probability of successful flight ...
Social Science Statistics STA2122.501 ● ONLINE Project 3ChereCheek752
This document provides instructions and materials for a project comparing social values and attitudes between countries using data from the World Values Survey. Students are asked to select two variables - one for grouping countries and one for a social value - perform descriptive statistics and a t-test, and write a report relating their findings to a UN Sustainable Development Goal. Options for analyses comparing views of competition between Japan and the US, views of domestic violence between Sweden and the US, and views of technology between China and the US are provided.
Social Science Statistics STA2122.501 ● ONLINE Project 3.docxrosemariebrayshaw
This document provides instructions and materials for a project comparing social values and attitudes between countries using data from the World Values Survey. Students are asked to select two variables - one for a dichotomous grouping (e.g. country) and one for a social value outcome. They then conduct background research on the variable and its relationship to UN Sustainable Development Goals, state a hypothesis comparing the two countries, perform statistical analyses in SPSS including descriptive statistics and an independent samples t-test, make a decision about their hypothesis, and reflect on what the results say about the social issue and further research needed. The document includes a grading rubric, example analyses, and appendices with the variable codebook and SPSS analysis instructions
Case Study 2 SCADA WormProtecting the nation’s critical infra.docxwendolynhalbert
Case Study 2: SCADA Worm
Protecting the nation’s critical infrastructure is a major security challenge within the U.S. Likewise, the responsibility for protecting the nation’s critical infrastructure encompasses all sectors of government, including private sector cooperation. Search on the Internet for information on the SCADA Worm, such as the article located athttp://www.theregister.co.uk/2010/09/22/stuxnet_worm_weapon/.
Write a three to five (3-5) page paper in which you:
1. Describe the impact and the vulnerability of the SCADA / Stuxnet Worm on the critical infrastructure of the United States.
2. Describe the methods to mitigate the vulnerabilities, as they relate to the seven (7) domains.
3. Assess the levels of responsibility between government agencies and the private sector for mitigating threats and vulnerabilities to our critical infrastructure.
4. Assess the elements of an effective IT Security Policy Framework, and how these elements, if properly implemented, could prevent or mitigate and attack similar to the SCADA / Stuxnet Worm.
5. Use at least three (3) quality resources in this assignment. Note: Wikipedia and similar Websites do not qualify as quality resources.
Your assignment must follow these formatting requirements:
· Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA or school-specific format. Check with your professor for any additional instructions.
· Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length.
The specific course learning outcomes associated with this assignment are:
· Identify the role of an information systems security (ISS) policy framework in overcoming business challenges.
· Compare and contrast the different methods, roles, responsibilities, and accountabilities of personnel, along with the governance and compliance of security policy framework.
· Describe the different ISS policies associated with the user domain.
· Analyze the different ISS policies associated with the IT infrastructure.
· Use technology and information resources to research issues in security strategy and policy formation.
· Write clearly and concisely about Information Systems Security Policy topics using proper writing mechanics and technical style conventions.
DataIDSalaryCompaMidpoint AgePerformance RatingServiceGenderRaiseDegreeGender1GrStudents: Copy the Student Data file data values into this sheet to assist in doing your weekly assignments.1601.053573485805.70METhe ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)? 226.80.866315280703.90MBNote: to simplfy the analysis, we will assume that jobs within each grade comprise equal work.334.71.120313075513.61FB457.91.01657 ...
This document provides an overview of course materials for QNT/275 Statistics for Decision Making. It includes prompts for weekly assignments that involve defining statistics, distinguishing quantitative and qualitative data, describing data measurement levels and the role of statistics in business decision making. It also includes a business scenario and data set for analysis, as well as sample quiz questions covering topics like data types, measures of central tendency, probability, and random variables.
About Your Signature Assignment.docxAbout Your Signature Assig.docxransayo
The document provides instructions for a signature assignment for a statistics course. It outlines 4 parts to the assignment: preliminary analysis, descriptive statistics, inferential statistics, and conclusion/recommendations. Students will analyze one of 4 databases (manufacturing, hospital, consumer food, or financial) and write a 1,600-word statistical report addressing the objectives, data, analyses, and conclusions for the selected database. The document provides details on the content and format required for each part of the assignment.
Histograms and Descriptive Statistics Scoring GuideCRITERIANON.docxpooleavelina
Histograms and Descriptive Statistics Scoring Guide
CRITERIA
NON-PERFORMANCE
BASIC
PROFICIENT
DISTINGUISHED
Apply the appropriate SPSS procedures for creating histograms to generate relevant output.
Does not provide SPSS output.
Provides SPSS output with errors.
Applies the appropriate SPSS procedures for creating histograms to generate relevant output.
Analyzes the histogram output, demonstrating insight and understanding of relevant data.
Interpret histogram results, including concepts of skew, kurtosis, outliers, symmetry, and modality.
Does not provide an interpretation of histogram results.
Provides an interpretation of histogram results.
Interprets histogram results, including concepts of skew, kurtosis, outliers, symmetry, and modality.
Evaluates histogram results, including concepts of skew, kurtosis, outliers, symmetry, and modality.
Analyze the strengths and limitations of examining a distribution of scores with a histogram.
Does not identify the strengths and limitations of examining a distribution of scores with a histogram.
Identifies the strengths and limitations of examining a distribution of scores with a histogram.
Analyzes the strengths and limitations of examining a distribution of scores with a histogram.
Evaluates the strengths and limitations of examining a distribution of scores with a histogram. Demonstrates insight and understanding of relevant data.
Apply the appropriate SPSS procedure for generating descriptive statistics to generate relevant output.
Does not provide SPSS output.
Includes some, but not all, of the required output. Numerous errors in SPSS output.
Applies the appropriate SPSS procedure for generating descriptive statistics to generate relevant output.
Applies the appropriate SPSS procedure for generating descriptive statistics to generate relevant output. Includes all relevant output; no irrelevant output is included. No errors in SPSS output.
Analyze meaningful versus meaningless variables reported in descriptive statistics.
Does not identify meaningful versus meaningless variables reported in descriptive statistics.
Identifies meaningful versus meaningless variables reported in descriptive statistics.
Analyzes meaningful versus meaningless variables reported in descriptive statistics.
Evaluates meaningful versus meaningless variables reported in descriptive statistics.
Interpret descriptive statistics for meaningful variables.
Does not identify meaningful variables.
Identifies meaningful variables.
Interprets descriptive statistics for meaningful variables.
Evaluates descriptive statistics for meaningful variables.
Apply the appropriate SPSS procedures for creating z scores and descriptive statistics to generate relevant output.
Does not provide SPSS output.
Provides SPSS output with errors.
Applies the appropriate SPSS procedures for creating z scores and descriptive statistics to generate relevant output.
Analyzes the z scores and descriptive statistics output, demonstrating insight and understand ...
BUS308 – Week 1 Lecture 2 Describing Data Expected Out.docxcurwenmichaela
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.
This is the final projectIn this final assignment, we will revi.docxMARK547399
This document outlines the final project assignment which involves revisiting and analyzing datasets from previous weekly assignments. It provides instructions to analyze mortality data by pooling all cancer causes together, analyze birth data by racial group and seasonality, evaluate a diagnostic test for liver cancer using biomarker data, test for period effects in a medical trial, and analyze differences in physical and cognitive variables by gender and birth order using youth data. It specifies the requirements for completing and formatting the final paper report.
This document discusses bivariate linear regression and its understanding. Bivariate linear regression, also called simple linear regression, involves modeling the relationship between a dependent variable (Y) and a single independent variable (X). The regression equation takes the form of Y = β0 + β1X + ε, where β0 is the intercept, β1 is the slope coefficient, and ε is the error term. This equation can be used to predict Y values based on X values, as well as understand how much variation in Y can be explained by X. Parameters β0 and β1 are estimated to maximize the explanatory power of X for Y while minimizing prediction errors.
DoW #6 TVs and Life ExpectanciesFor this weeks DoW, you wi.docxkanepbyrne80830
DoW #6: TVs and Life Expectancies
For this week's DoW, you will explore the question:
Is there a relationship between life expectancy and the number of people per TV for a country?
The Excel file,
TV Life
contains data for the variables
Life Expectancy
and
People per TV
for a sample of 22 countries. We will analyze and interpret this data throughout this week’s investigations.
In Investigation 1
, you will
post your responses to Exercise B4 by Wednesday, 10PM EST
, and
follow-up by Friday, 10 PM EST
.
In Investigation 2,
you will
post your responses to Exercise E5 by Saturday 10 PM EST,
and
follow-up by Sunday, 10 PM EST.
Investigation 1: Measuring Association
In this investigation, we look at the concept of
association
– the relationship between the two variables – and ways to identify and measure the relationship in quantitative bivariate data. We will look at scatterplots and the correlation coefficient.
Inv 1, Activity A: Seeing the AssociationExercise A1
: Complete Annenberg Series for
Session 7, Parts A, B, and C.
(We will complete Part D in Investigation 2, but you can do it here if you prefer.)
Reflect on the following questions in your journal:
How does the contingency table (also called a two-way table) show the relationship seen in the scatter plot?
The height=armspan line is also called the
y=x
line (height is the
y-axis
variable, armspan is the
x-axis
variable). What does it mean if a point is above this line? below this line?
Exercise A2:
Analyze the data for DoW #6 in your calculator or on an applet. Record your answers in your journal:
What are the variables? Are they quantitative or categorical?
Create a scatterplot for the data in DoW #6, with the variable
People Per TV
on the x-axis.
Describe the relationship you see in the data (if any).
Are there any points on the scatterplot that do not seem to follow the general trend of the data? If so, what are they and why do they seem “different”?
Inv 1, Activity B: Describing Association
We use the term
association
to refer to a relationship between two variables which would reveal information about one variable from information about the other variable. In this investigation we will look at the association between two quantitative variables.
Associations can be positive or negative, and they can be strong or weak.
Two variables have a:
Positive association
If larger values of one variable tend to occur with larger values of the other variable. So, the two variables tend to increase (or decrease) together.
Negative association
If larger values of one variable tend to occur with smaller values of the other variable. So, as one variable tends to increase, the other tends to decrease.
Two variables have a:
Strong
associationI
I
f observations tend to closely follow the pattern (of positive association or of negative association). With a stronger association, one could more accurately use one variable to “predict” va.
You clearly understand the concepts of this assignment. You’ve don.docxjeffevans62972
The document provides feedback on a student's assignment. It praises the student's clear understanding of statistics concepts and application in answering problems correctly. It notes the student demonstrated understanding of formulas and explained results well. The feedback encourages the student to focus on academic writing style and using credible sources to back work. It says these skills will help the student succeed personally and professionally.
This document provides guidance on analyzing data using SPSS. It covers topics such as different data types, structuring data for analysis in SPSS, descriptive statistics, graphs, inferential statistics, and specific tests like t-tests, ANOVA, and correlation. The document is intended as a practical guide for researchers who need to analyze their data using SPSS. It defines key terms and provides examples to illustrate different statistical concepts and analysis procedures.
This document provides guidance on analyzing data using SPSS. It covers topics such as different data types, structuring data for analysis in SPSS, descriptive statistics, graphs, inferential statistics, and specific tests like t-tests, ANOVA, and correlation. The document is intended as a practical guide for researchers who need to analyze their data using SPSS. It defines key terms and provides examples to illustrate different statistical concepts and analysis procedures.
This document provides guidance on analysing data using SPSS. It discusses key considerations for determining the appropriate analysis method, including the type of data (nominal, ordinal, interval, ratio), whether the data is paired, whether it is parametric, and what is being examined (differences, correlations, etc.). It covers descriptive statistics, inferential statistics, and specific tests like t-tests, ANOVA, correlation, and chi-square. Examples are provided to illustrate different analysis techniques for various research study designs.
Between Black and White Population1. Comparing annual percent .docxjasoninnes20
Between Black and White Population
1. Comparing annual percent of Medicare enrollees having at least one ambulatory visit between B and W
2. Comparing average annual percent of diabetic Medicare enrollees age 65-75 having hemoglobin A1c between B and W
3. Comparing average annual percent of diabetic Medicare enrollees age 65-75 having eye examination between B and W
4. Comparing average annual percent of diabetic Medicare enrollees age 65-75 having
Students will develop an analysis report, in five main sections, including introduction, research method (research questions/objective, data set, research method, and analysis), results, conclusion and health policy recommendations. This is a 5-6 page individual project report.
Here are the main steps for this assignment.
Step 1: Students require to submit the topic using topic selection discussion forum by the end of week 1 and wait for instructor approval.
Step 2: Develop the research question and
Step 3: Run the analysis using EXCEL (RStudio for BONUS points) and report the findings using the assignment instruction.
The Report Structure:
Start with the
1.Cover page (1 page, including running head).
Please look at the example http://www.apastyle.org/manual/related/sample-experiment-paper-1.pdf (you can download the file from the class) and http://www.umuc.edu/library/libhow/apa_tutorial.cfm to learn more about the APA style.
In the title page include:
· Title, this is the approved topic by your instructor.
· Student name
· Class name
· Instructor name
· Date
2.Introduction
Introduce the problem or topic being investigated. Include relevant background information, for example;
· Indicates why this is an issue or topic worth researching;
· Highlight how others have researched this topic or issue (whether quantitatively or qualitatively), and
· Specify how others have operationalized this concept and measured these phenomena
Note: Introduction should not be more than one or two paragraphs.
Literature Review
There is no need for a literature review in this assignment
3.Research Question or Research Hypothesis
What is the Research Question or Research Hypothesis?
***Just in time information: Here are a few points for Research Question or Research Hypothesis
There are basically two kinds of research questions: testable and non-testable. Neither is better than the other, and both have a place in applied research.
Examples of non-testable questions are:
How do managers feel about the reorganization?
What do residents feel are the most important problems facing the community?
Respondents' answers to these questions could be summarized in descriptive tables and the results might be extremely valuable to administrators and planners. Business and social science researchers often ask non-testable research questions. The shortcoming with these types of questions is that they do not provide objective cut-off points for decision-makers.
In order to overcome this problem, researchers often seek to answer o ...
This document provides guidelines for writing a research paper, including sections on background, aim, methods, analyses, results and discussion. The methods section should include the study design, subjects, and measures. The results and discussion section should summarize outcomes and interpret the magnitude and precision of effects, discussing limitations. Data should be presented in figures rather than tables when possible to aid readability. Overall, the paper should be written in a clear, concise manner avoiding technical jargon or abbreviations.
Statistica Sinica 16(2006), 847-860
PSEUDO-R
2
IN LOGISTIC REGRESSION MODEL
Bo Hu, Jun Shao and Mari Palta
University of Wisconsin-Madison
Abstract: Logistic regression with binary and multinomial outcomes is commonly
used, and researchers have long searched for an interpretable measure of the strength
of a particular logistic model. This article describes the large sample properties
of some pseudo-R2 statistics for assessing the predictive strength of the logistic
regression model. We present theoretical results regarding the convergence and
asymptotic normality of pseudo-R2s. Simulation results and an example are also
presented. The behavior of the pseudo-R2s is investigated numerically across a
range of conditions to aid in practical interpretation.
Key words and phrases: Entropy, logistic regression, pseudo-R2
1. Introduction
Logistic regression for binary and multinomial outcomes is commonly used
in health research. Researchers often desire a statistic ranging from zero to one
to summarize the overall strength of a given model, with zero indicating a model
with no predictive value and one indicating a perfect fit. The coefficient of deter-
mination R2 for the linear regression model serves as a standard for such measures
(Draper and Smith (1998)). Statisticians have searched for a corresponding in-
dicator for models with binary/multinomial outcome. Many different R2 statis-
tics have been proposed in the past three decades (see, e.g., McFadden (1973),
McKelvey and Zavoina (1975), Maddala (1983), Agresti (1986), Nagelkerke
(1991), Cox and Wermuch (1992), Ash and Shwartz (1999), Zheng and Agresti
(2000)). These statistics, which are usually identical to the standard R2 when
applied to a linear model, generally fall into categories of entropy-based and
variance-based (Mittlböck and Schemper (1996)). Entropy-based R2 statistics,
also called pseudo-R2s, have gained some popularity in the social sciences (Mad-
dala (1983), Laitila (1993) and Long (1997)). McKelvey and Zavoina (1975)
proposed a pseudo-R2 based on a latent model structure, where the binary/
multinomial outcome results from discretizing a continuous latent variable that
is related to the predictors through a linear model. Their pseudo-R2 is defined
as the proportion of the variance of the latent variable that is explained by the
848 BO HU, JUN SHAO AND MARI PALTA
covariate. McFadden (1973) suggested an alternative, known as “likelihood-
ratio index”, comparing a model without any predictor to a model including all
predictors. It is defined as one minus the ratio of the log likelihood with inter-
cepts only, and the log likelihood with all predictors. If the slope parameters
are all 0, McFadden’s R2 is 0, but it is never 1. Maddala (1983) developed
another pseudo-R2 that can be applied to any model estimated by the maximum
likelihood method. This popular and widely used measure is expressed as
R2M = 1 −
(
L(θ̃)
L(θ̂)
)
2
n
, (1)
.
Stations yourself somewhere (library, cafeteria, etc.) and observe.docxrafaelaj1
Stations yourself somewhere (library, cafeteria, etc.) and observe the nonverbal communication that occurs.
What do people say with their bodies?
What messages are implicit in vocal expressions, clothes, make-up and so on?
Take notes on five of the most eloquent messages sent nonverbally.
*one page.
*Read the instructions then write about 5 difeerent people
.
StatementState legislatures continue to advance policy proposals.docxrafaelaj1
Statement
State legislatures continue to advance policy proposals to address cyber threats directed at governments and private businesses. As threats continue to evolve and expand and as the pace of new technologies accelerates, legislatures are making cybersecurity measures a higher priority.
Assignment
You are to author a 2-page (maximum) paper about the “failed” amendments proposed by the Kentucky legislature in 2019 with respect to Cyber Policy. APA format – 1 cover page, 2 content pages, and 1 reference page.
You are to answer two questions in your individual papers.
Brief background of the proposed amendment and “researched” speculation as to why it failed?
What would you propose for them to pass in 2020?
Remember to cite your sources appropriately and turn in original work!
Section 54
KY S 14
Status: Failed - Adjourned
Provides definitions relating to personal information, provides certain personal information that shall be protected from disclosure by a public agency or third-party contractor through redaction or other means, provides a list of covered persons, provides guidelines for contracts between a public agency and a third-party contractor.
.
StatementState legislatures continue to advance policy propo.docxrafaelaj1
Statement
State legislatures continue to advance policy proposals to address cyber threats directed at governments and private businesses. As threats continue to evolve and expand and as the pace of new technologies accelerates, legislatures are making cybersecurity measures a higher priority.
Assignment
You are to author a 2-page (maximum) paper about the “failed” amendments proposed by the Kentucky legislature in 2019 with respect to Cyber Policy. APA format – 1 cover page, 2 content pages, and 1 reference page.
You are to answer two questions in your individual papers.
Brief background of the proposed amendment and “researched” speculation as to why it failed?
What would you propose for them to pass in 2020?
Remember to cite your sources appropriately and turn in original work!
KY S 14
Status: Failed - Adjourned
Provides definitions relating to personal information, provides certain personal information that shall be protected from disclosure by a public agency or third-party contractor through redaction or other means, provides a list of covered persons, provides guidelines for contracts between a public agency and a third-party contractor.
.
Statement of PurposeProvide a statement of your educational .docxrafaelaj1
Statement of Purpose
Provide a statement of your educational background, experience, and preparation relevant to a graduate program in computer science, and specify your research and career goals.
The statement of purpose is a short essay introducing the applicant and his or her
interests, goals, and reasons for pursuing graduate study in history. Applicants may wish
to share a draft of their statement with the individuals writing their letters of
recommendation. While every statement, like every prospective student, will be different,
applicants should devote special attention to the following items:
• Academic/Professional Background: Please give your academic credentials, with
degrees, dates, and relevant employment experience. You do not need to list every
job you have had, only those that bear directly on your desire to enter graduate
school.
• Motivations and Aims: Explain what motivates you to do graduate work in history
and what your goals are, both within the graduate program and after the
completion of your degree.
• Existing Expertise and Accomplishments in History: Discuss any areas of
expertise you may already have in your proposed area of interest. If you have
experience doing research, please describe the project and your work on it. If you
have any special talents or skills, such as a foreign language, please describe
them.
• Proposed Course of Study: Please identify planned major field and minor fields of
study.
• Other Relevant Experiences or Personal Qualities: Discuss any experiences or
personal attributes that may illuminate your commitment to the study of history
and to the successful completion of the graduate program.
Format: Your statement of purpose should be limited to no more than 750 words
(between 2 and 3 pages).
.
States and the federal government should not use private prisons for.docxrafaelaj1
States and the federal government should not use private prisons for various reasons. First, most of the private prisons are for-profit facilities. Therefore, they cut on expenses such as lacking enough staffing and resources, which is likely to affect inmates' safety and quality of life. Further, while pro-private prisons note that private prisons save taxpayers' money, studies indicate that they do not reduce costs. For instance, the day to day cost of housing an inmate in 2010 was $53.02 for private prisons compared to $48.42 for a medium-security public prison (Pedowitz, 2012). Also, prisoners do not receive similar kinds of treatment in private facilities. While they may be suitable for the local economy, such as offering job opportunities, lowering costs by private facilities leaves inmates sick and not well cared for (NPR Staff, 2011).
.
StatementState legislatures continue to advance policy proposa.docxrafaelaj1
The document discusses a 2-page paper assignment on failed cybersecurity amendments proposed by the Kentucky legislature in 2019. Students are asked to analyze why one amendment failed and propose a new amendment for 2020. The failed amendment, KY S 14, aimed to protect personal information from disclosure by public agencies or third-party contractors.
Statement of Interest (This is used to apply for Graduate Schoo.docxrafaelaj1
Statement of Interest: (This is used to apply for Graduate School, digital media program)
Length: 2 pages. (500-750 words)
Area of interest in digital media.
-computational arts.
I did a mix media group exhibition in Feb. 2018 called What Makes You You. Half of my show is a sculpture-based installation. The other half is an interactive digital programed art(using Processing software). The visual of human evolution ties these two park together. See details at https://dongpu.weebly.com/what-makes-you-you.html
-short videos (documentary production).
I love shooting short videos. I formed a Youtube team called 2037 Club last year. https://www.youtube.com/channel/UCmtUQfDMvL9iE8IOy9oshSA
The latest documentary I did is called Liang(Grain). Video Statement:This documentary discovers the Chinese planned economy history period, which starts at the 1950s. People were given a certain amount of coupons to buy food and daily needs because of the limitation of products. Since this is a historical theme, reference images are included to support the concept of buying food today and before 1990. Other than that, the visuals are mainly about common people’s daily routine nowadays. Along with the visual, the most artistic part in this video is Shanghainese dialogue, which explained food coupons in the way of storytelling. “I accidentally found many food coupons in my grandparents’ house this summer, so I went to ask them about the experiences they had with these coupons. My curiosity leads me to the theme.” said by the producer.
This particular video also has a different meaning to me. My Grandmother passed away one week before the video published at the film festival (at Scottsdale Museum of Commemoratory Art). This piece becomes memorable to me, sadly, my grandmother never had a chance to see the whole piece.
https://www.youtube.com/watch?v=fD0Y-BXDfnY
-3D animation for games
I learned Maya in an animation course. Like editing videos, I soon full in love with 3D modeling.
https://www.youtube.com/watch?v=nGIRxaUdYiY
Business idea, if an applicant has one. It is fine if an applicant is unsure when applying to the program. It is also fine if an applicant is interested in the artistic aspect of digital media and not the entrepreneurial aspect.
I would like to complete a mobile game project in my Graduate studies period and start a game company after graduation. Meanwhile, still active in the art field being an intermedia artist.
Goals or expectations upon completion of the digital media program.
-I want to learn more about computer technologies to create artistic works. Focusing on the field of game development.
-Do more social, get to know people in my field
-Get professional advices of my projects
Here is my cover letter, you can utilize this for the statement of interest.
As a creative and passionate professional with a rich history of developing creative materials, I am eager to submit my resume for consideration for the (Position Title) position .
StatementState legislatures continue to advance policy prop.docxrafaelaj1
Statement
State legislatures continue to advance policy proposals to address cyber threats directed at governments and private businesses. As threats continue to evolve and expand and as the pace of new technologies accelerates, legislatures are making cybersecurity measures a higher priority.
Assignment
You are page amendments to author a 2-page (maximum) paper about the “failed” amendments proposed by the Kentucky legislature in 2019 with respect to Cyber Policy. APA format – 1 cover page, 2 content pages, and 1 reference pageamendments proposed.
You are to answer two questions in your individual papers.
Brief background of the proposed amendment and “researched” speculation as to why it failed?
What would you propose for them to pass in 2020?
.
Statement of cash flows (indirect method) Cash flows from ope.docxrafaelaj1
Statement of cash flows (indirect method)
Cash flows from operating activities
Net income
72,600
adjustments to net income
depreciation
4,000
Gan on sale of investments
-7,000
Increase in AR
-36,000
Decrease in inventory
40,000
Increased in Accounts payable
13,000
Decrease in Accrued liabilities
-3,100
net cash provided by operating activities
83,500
Cash flows from investing activities
Purchase of Plant assets
-16,000
Sale of long-term investments
20,000
net cash provided by investing activities
4,000
Cash flows from financing activities
retiement of bonds
-31,000
payment of dividend
-32,500
sale of common stock
6,000
net cash provided by financing activities
-57,500
net increase in cash
30,000
Cash balance, beginning
230,000
cash balance, ending
260,000
Statement of Cash flows (direct method)
Cash flows from operating activities
cash received from customers
714,000
(sales - increase in AR)
cash paid for merchandise
477,000
(cogs - decrease in invnetory - increase in AP)
cash paid for other operating expenes
105,100
(selling & admin exp + decrease in accrued liab - depreciation)
cash paid for income taxes
48,400
net cash provided b oeprating activities
83,500
Cash flows from investing activities
Purchase of Plant assets
-16,000
Sale of long-term investments
20,000
net cash provided by investing activities
4,000
Cash flows from financing activities
retiement of bonds
-31,000
payment of dividend
-32,500
sale of common stock
6,000
net cash provided by financing activities
-57,500
net increase in cash
30,000
Cash balance, beginning
230,000
cash balance, ending
260,000
.
Stateline Shipping and Transport CompanyRachel Sundusky is the m.docxrafaelaj1
Stateline Shipping and Transport Company
Rachel Sundusky is the manager of the South-Atlantic office of the Stateline Shipping and Transport Company. She is in the process of negotiating a new shipping contract with Polychem, a company that manufactures chemicals for industrial use. Polychem want Stateline to pick up and transport waste products from its six plants to three waste disposal sites. Rachel is very concerned about this proposed arrangement. The chemical wastes that will be hauled can be hazardous to humans and the environment if they leak. In addition, a number of towns and communities in the region where the plants are located prohibit hazardous materials from being shipped through their municipal limits. Thus, not only will the shipments have to be handled carefully and transported at reduced speeds, they will also have to traverse circuitous routes in many cases. Rachel has estimated the cost of shipping a barrel of waste from each of the six plants to each of the three waste disposal sites as shown in the following table:
Waste Disposal Site
Plant
Whitewater
Los Canos
Duras
Kingsport
$12
$15
$17
Danville
14
9
10
Macon
13
20
11
Selma
17
16
19
Columbus
7
14
12
Allentown
22
16
18
The plants generate the following amounts of waste products each week:
Plant
Waste per Week (bbl)
Kingsport
35
Danville
26
Macon
42
Selma
53
Columbus
29
Allentown
38
The three waste disposal sites at Whitewater, Los Canos, and Duras can accommodate a maximum of 65, 80, and 105 barrels per week respectively. In addition to shipping directly from each of the six plants to one of the three waste disposal sites, Rachel is also considering using each of the plants and waste disposal sites as intermediate shipping points. Trucks would be able to drop a load at a plant or disposal site to be picked up and carried on to the final destination by another truck, and vice versa. Stateline would not incur any handling costs because Polychem has agreed to take care of all local handling of the waste materials at the plants and the waste disposal sites. In other words, the only cost Stateline incurs is the actual transportation cost. So Rachel wants to be able to consider the possibility that it may be cheaper to drop and pick up loads at intermediate points rather than ship them directly. Rachel estimates the shipping costs per barrel between each of the six plants to be as follows:
Plant
Plant
Kingsport
Danville
Macon
Selma
Columbus
Allentown
Kingsport
$ __
$6
$4
$9
$7
$8
Danville
6
__
11
10
12
7
Macon
5
11
__
3
7
15
Selma
9
10
3
__
3
16
Columbus
7
12
7
3
__
14
Allentown
8
7
15
16
14
__
The e.
State Two ways in which Neanderthals and Cro-Magnons differed. .docxrafaelaj1
State Two ways in which Neanderthals and Cro-Magnons differed.
List an important achievement for each of these scientist. Aristarchus, Euclid, Archimedes, and Herophilus
"Civilizations" is defined as the stage of development in which people have developed :
1. large, permanet communites.
2. a system of writing
3. divirsion
4. trade
5. a srtong central goverment
.
STAT 3300 Homework #6Due Thursday, 03282019Note Answe.docxrafaelaj1
This document outlines a homework assignment for a statistics course. It provides details on a multiple regression analysis examining the relationship between average student debt and various college metrics like admission rates, graduation rates, and in-state costs. The assignment asks students to conduct the multiple regression, analyze residuals, test hypotheses, and determine which variables are significant predictors of debt. It also provides learning objectives for a chapter on juvenile justice treatment and prevention programs.
More Related Content
Similar to STAT212Assignment#6.docxDescriptionIn each of the 4 research.docx
This is the final projectIn this final assignment, we will revi.docxMARK547399
This document outlines the final project assignment which involves revisiting and analyzing datasets from previous weekly assignments. It provides instructions to analyze mortality data by pooling all cancer causes together, analyze birth data by racial group and seasonality, evaluate a diagnostic test for liver cancer using biomarker data, test for period effects in a medical trial, and analyze differences in physical and cognitive variables by gender and birth order using youth data. It specifies the requirements for completing and formatting the final paper report.
This document discusses bivariate linear regression and its understanding. Bivariate linear regression, also called simple linear regression, involves modeling the relationship between a dependent variable (Y) and a single independent variable (X). The regression equation takes the form of Y = β0 + β1X + ε, where β0 is the intercept, β1 is the slope coefficient, and ε is the error term. This equation can be used to predict Y values based on X values, as well as understand how much variation in Y can be explained by X. Parameters β0 and β1 are estimated to maximize the explanatory power of X for Y while minimizing prediction errors.
DoW #6 TVs and Life ExpectanciesFor this weeks DoW, you wi.docxkanepbyrne80830
DoW #6: TVs and Life Expectancies
For this week's DoW, you will explore the question:
Is there a relationship between life expectancy and the number of people per TV for a country?
The Excel file,
TV Life
contains data for the variables
Life Expectancy
and
People per TV
for a sample of 22 countries. We will analyze and interpret this data throughout this week’s investigations.
In Investigation 1
, you will
post your responses to Exercise B4 by Wednesday, 10PM EST
, and
follow-up by Friday, 10 PM EST
.
In Investigation 2,
you will
post your responses to Exercise E5 by Saturday 10 PM EST,
and
follow-up by Sunday, 10 PM EST.
Investigation 1: Measuring Association
In this investigation, we look at the concept of
association
– the relationship between the two variables – and ways to identify and measure the relationship in quantitative bivariate data. We will look at scatterplots and the correlation coefficient.
Inv 1, Activity A: Seeing the AssociationExercise A1
: Complete Annenberg Series for
Session 7, Parts A, B, and C.
(We will complete Part D in Investigation 2, but you can do it here if you prefer.)
Reflect on the following questions in your journal:
How does the contingency table (also called a two-way table) show the relationship seen in the scatter plot?
The height=armspan line is also called the
y=x
line (height is the
y-axis
variable, armspan is the
x-axis
variable). What does it mean if a point is above this line? below this line?
Exercise A2:
Analyze the data for DoW #6 in your calculator or on an applet. Record your answers in your journal:
What are the variables? Are they quantitative or categorical?
Create a scatterplot for the data in DoW #6, with the variable
People Per TV
on the x-axis.
Describe the relationship you see in the data (if any).
Are there any points on the scatterplot that do not seem to follow the general trend of the data? If so, what are they and why do they seem “different”?
Inv 1, Activity B: Describing Association
We use the term
association
to refer to a relationship between two variables which would reveal information about one variable from information about the other variable. In this investigation we will look at the association between two quantitative variables.
Associations can be positive or negative, and they can be strong or weak.
Two variables have a:
Positive association
If larger values of one variable tend to occur with larger values of the other variable. So, the two variables tend to increase (or decrease) together.
Negative association
If larger values of one variable tend to occur with smaller values of the other variable. So, as one variable tends to increase, the other tends to decrease.
Two variables have a:
Strong
associationI
I
f observations tend to closely follow the pattern (of positive association or of negative association). With a stronger association, one could more accurately use one variable to “predict” va.
You clearly understand the concepts of this assignment. You’ve don.docxjeffevans62972
The document provides feedback on a student's assignment. It praises the student's clear understanding of statistics concepts and application in answering problems correctly. It notes the student demonstrated understanding of formulas and explained results well. The feedback encourages the student to focus on academic writing style and using credible sources to back work. It says these skills will help the student succeed personally and professionally.
This document provides guidance on analyzing data using SPSS. It covers topics such as different data types, structuring data for analysis in SPSS, descriptive statistics, graphs, inferential statistics, and specific tests like t-tests, ANOVA, and correlation. The document is intended as a practical guide for researchers who need to analyze their data using SPSS. It defines key terms and provides examples to illustrate different statistical concepts and analysis procedures.
This document provides guidance on analyzing data using SPSS. It covers topics such as different data types, structuring data for analysis in SPSS, descriptive statistics, graphs, inferential statistics, and specific tests like t-tests, ANOVA, and correlation. The document is intended as a practical guide for researchers who need to analyze their data using SPSS. It defines key terms and provides examples to illustrate different statistical concepts and analysis procedures.
This document provides guidance on analysing data using SPSS. It discusses key considerations for determining the appropriate analysis method, including the type of data (nominal, ordinal, interval, ratio), whether the data is paired, whether it is parametric, and what is being examined (differences, correlations, etc.). It covers descriptive statistics, inferential statistics, and specific tests like t-tests, ANOVA, correlation, and chi-square. Examples are provided to illustrate different analysis techniques for various research study designs.
Between Black and White Population1. Comparing annual percent .docxjasoninnes20
Between Black and White Population
1. Comparing annual percent of Medicare enrollees having at least one ambulatory visit between B and W
2. Comparing average annual percent of diabetic Medicare enrollees age 65-75 having hemoglobin A1c between B and W
3. Comparing average annual percent of diabetic Medicare enrollees age 65-75 having eye examination between B and W
4. Comparing average annual percent of diabetic Medicare enrollees age 65-75 having
Students will develop an analysis report, in five main sections, including introduction, research method (research questions/objective, data set, research method, and analysis), results, conclusion and health policy recommendations. This is a 5-6 page individual project report.
Here are the main steps for this assignment.
Step 1: Students require to submit the topic using topic selection discussion forum by the end of week 1 and wait for instructor approval.
Step 2: Develop the research question and
Step 3: Run the analysis using EXCEL (RStudio for BONUS points) and report the findings using the assignment instruction.
The Report Structure:
Start with the
1.Cover page (1 page, including running head).
Please look at the example http://www.apastyle.org/manual/related/sample-experiment-paper-1.pdf (you can download the file from the class) and http://www.umuc.edu/library/libhow/apa_tutorial.cfm to learn more about the APA style.
In the title page include:
· Title, this is the approved topic by your instructor.
· Student name
· Class name
· Instructor name
· Date
2.Introduction
Introduce the problem or topic being investigated. Include relevant background information, for example;
· Indicates why this is an issue or topic worth researching;
· Highlight how others have researched this topic or issue (whether quantitatively or qualitatively), and
· Specify how others have operationalized this concept and measured these phenomena
Note: Introduction should not be more than one or two paragraphs.
Literature Review
There is no need for a literature review in this assignment
3.Research Question or Research Hypothesis
What is the Research Question or Research Hypothesis?
***Just in time information: Here are a few points for Research Question or Research Hypothesis
There are basically two kinds of research questions: testable and non-testable. Neither is better than the other, and both have a place in applied research.
Examples of non-testable questions are:
How do managers feel about the reorganization?
What do residents feel are the most important problems facing the community?
Respondents' answers to these questions could be summarized in descriptive tables and the results might be extremely valuable to administrators and planners. Business and social science researchers often ask non-testable research questions. The shortcoming with these types of questions is that they do not provide objective cut-off points for decision-makers.
In order to overcome this problem, researchers often seek to answer o ...
This document provides guidelines for writing a research paper, including sections on background, aim, methods, analyses, results and discussion. The methods section should include the study design, subjects, and measures. The results and discussion section should summarize outcomes and interpret the magnitude and precision of effects, discussing limitations. Data should be presented in figures rather than tables when possible to aid readability. Overall, the paper should be written in a clear, concise manner avoiding technical jargon or abbreviations.
Similar to STAT212Assignment#6.docxDescriptionIn each of the 4 research.docx (9)
Statistica Sinica 16(2006), 847-860
PSEUDO-R
2
IN LOGISTIC REGRESSION MODEL
Bo Hu, Jun Shao and Mari Palta
University of Wisconsin-Madison
Abstract: Logistic regression with binary and multinomial outcomes is commonly
used, and researchers have long searched for an interpretable measure of the strength
of a particular logistic model. This article describes the large sample properties
of some pseudo-R2 statistics for assessing the predictive strength of the logistic
regression model. We present theoretical results regarding the convergence and
asymptotic normality of pseudo-R2s. Simulation results and an example are also
presented. The behavior of the pseudo-R2s is investigated numerically across a
range of conditions to aid in practical interpretation.
Key words and phrases: Entropy, logistic regression, pseudo-R2
1. Introduction
Logistic regression for binary and multinomial outcomes is commonly used
in health research. Researchers often desire a statistic ranging from zero to one
to summarize the overall strength of a given model, with zero indicating a model
with no predictive value and one indicating a perfect fit. The coefficient of deter-
mination R2 for the linear regression model serves as a standard for such measures
(Draper and Smith (1998)). Statisticians have searched for a corresponding in-
dicator for models with binary/multinomial outcome. Many different R2 statis-
tics have been proposed in the past three decades (see, e.g., McFadden (1973),
McKelvey and Zavoina (1975), Maddala (1983), Agresti (1986), Nagelkerke
(1991), Cox and Wermuch (1992), Ash and Shwartz (1999), Zheng and Agresti
(2000)). These statistics, which are usually identical to the standard R2 when
applied to a linear model, generally fall into categories of entropy-based and
variance-based (Mittlböck and Schemper (1996)). Entropy-based R2 statistics,
also called pseudo-R2s, have gained some popularity in the social sciences (Mad-
dala (1983), Laitila (1993) and Long (1997)). McKelvey and Zavoina (1975)
proposed a pseudo-R2 based on a latent model structure, where the binary/
multinomial outcome results from discretizing a continuous latent variable that
is related to the predictors through a linear model. Their pseudo-R2 is defined
as the proportion of the variance of the latent variable that is explained by the
848 BO HU, JUN SHAO AND MARI PALTA
covariate. McFadden (1973) suggested an alternative, known as “likelihood-
ratio index”, comparing a model without any predictor to a model including all
predictors. It is defined as one minus the ratio of the log likelihood with inter-
cepts only, and the log likelihood with all predictors. If the slope parameters
are all 0, McFadden’s R2 is 0, but it is never 1. Maddala (1983) developed
another pseudo-R2 that can be applied to any model estimated by the maximum
likelihood method. This popular and widely used measure is expressed as
R2M = 1 −
(
L(θ̃)
L(θ̂)
)
2
n
, (1)
.
Stations yourself somewhere (library, cafeteria, etc.) and observe.docxrafaelaj1
Stations yourself somewhere (library, cafeteria, etc.) and observe the nonverbal communication that occurs.
What do people say with their bodies?
What messages are implicit in vocal expressions, clothes, make-up and so on?
Take notes on five of the most eloquent messages sent nonverbally.
*one page.
*Read the instructions then write about 5 difeerent people
.
StatementState legislatures continue to advance policy proposals.docxrafaelaj1
Statement
State legislatures continue to advance policy proposals to address cyber threats directed at governments and private businesses. As threats continue to evolve and expand and as the pace of new technologies accelerates, legislatures are making cybersecurity measures a higher priority.
Assignment
You are to author a 2-page (maximum) paper about the “failed” amendments proposed by the Kentucky legislature in 2019 with respect to Cyber Policy. APA format – 1 cover page, 2 content pages, and 1 reference page.
You are to answer two questions in your individual papers.
Brief background of the proposed amendment and “researched” speculation as to why it failed?
What would you propose for them to pass in 2020?
Remember to cite your sources appropriately and turn in original work!
Section 54
KY S 14
Status: Failed - Adjourned
Provides definitions relating to personal information, provides certain personal information that shall be protected from disclosure by a public agency or third-party contractor through redaction or other means, provides a list of covered persons, provides guidelines for contracts between a public agency and a third-party contractor.
.
StatementState legislatures continue to advance policy propo.docxrafaelaj1
Statement
State legislatures continue to advance policy proposals to address cyber threats directed at governments and private businesses. As threats continue to evolve and expand and as the pace of new technologies accelerates, legislatures are making cybersecurity measures a higher priority.
Assignment
You are to author a 2-page (maximum) paper about the “failed” amendments proposed by the Kentucky legislature in 2019 with respect to Cyber Policy. APA format – 1 cover page, 2 content pages, and 1 reference page.
You are to answer two questions in your individual papers.
Brief background of the proposed amendment and “researched” speculation as to why it failed?
What would you propose for them to pass in 2020?
Remember to cite your sources appropriately and turn in original work!
KY S 14
Status: Failed - Adjourned
Provides definitions relating to personal information, provides certain personal information that shall be protected from disclosure by a public agency or third-party contractor through redaction or other means, provides a list of covered persons, provides guidelines for contracts between a public agency and a third-party contractor.
.
Statement of PurposeProvide a statement of your educational .docxrafaelaj1
Statement of Purpose
Provide a statement of your educational background, experience, and preparation relevant to a graduate program in computer science, and specify your research and career goals.
The statement of purpose is a short essay introducing the applicant and his or her
interests, goals, and reasons for pursuing graduate study in history. Applicants may wish
to share a draft of their statement with the individuals writing their letters of
recommendation. While every statement, like every prospective student, will be different,
applicants should devote special attention to the following items:
• Academic/Professional Background: Please give your academic credentials, with
degrees, dates, and relevant employment experience. You do not need to list every
job you have had, only those that bear directly on your desire to enter graduate
school.
• Motivations and Aims: Explain what motivates you to do graduate work in history
and what your goals are, both within the graduate program and after the
completion of your degree.
• Existing Expertise and Accomplishments in History: Discuss any areas of
expertise you may already have in your proposed area of interest. If you have
experience doing research, please describe the project and your work on it. If you
have any special talents or skills, such as a foreign language, please describe
them.
• Proposed Course of Study: Please identify planned major field and minor fields of
study.
• Other Relevant Experiences or Personal Qualities: Discuss any experiences or
personal attributes that may illuminate your commitment to the study of history
and to the successful completion of the graduate program.
Format: Your statement of purpose should be limited to no more than 750 words
(between 2 and 3 pages).
.
States and the federal government should not use private prisons for.docxrafaelaj1
States and the federal government should not use private prisons for various reasons. First, most of the private prisons are for-profit facilities. Therefore, they cut on expenses such as lacking enough staffing and resources, which is likely to affect inmates' safety and quality of life. Further, while pro-private prisons note that private prisons save taxpayers' money, studies indicate that they do not reduce costs. For instance, the day to day cost of housing an inmate in 2010 was $53.02 for private prisons compared to $48.42 for a medium-security public prison (Pedowitz, 2012). Also, prisoners do not receive similar kinds of treatment in private facilities. While they may be suitable for the local economy, such as offering job opportunities, lowering costs by private facilities leaves inmates sick and not well cared for (NPR Staff, 2011).
.
StatementState legislatures continue to advance policy proposa.docxrafaelaj1
The document discusses a 2-page paper assignment on failed cybersecurity amendments proposed by the Kentucky legislature in 2019. Students are asked to analyze why one amendment failed and propose a new amendment for 2020. The failed amendment, KY S 14, aimed to protect personal information from disclosure by public agencies or third-party contractors.
Statement of Interest (This is used to apply for Graduate Schoo.docxrafaelaj1
Statement of Interest: (This is used to apply for Graduate School, digital media program)
Length: 2 pages. (500-750 words)
Area of interest in digital media.
-computational arts.
I did a mix media group exhibition in Feb. 2018 called What Makes You You. Half of my show is a sculpture-based installation. The other half is an interactive digital programed art(using Processing software). The visual of human evolution ties these two park together. See details at https://dongpu.weebly.com/what-makes-you-you.html
-short videos (documentary production).
I love shooting short videos. I formed a Youtube team called 2037 Club last year. https://www.youtube.com/channel/UCmtUQfDMvL9iE8IOy9oshSA
The latest documentary I did is called Liang(Grain). Video Statement:This documentary discovers the Chinese planned economy history period, which starts at the 1950s. People were given a certain amount of coupons to buy food and daily needs because of the limitation of products. Since this is a historical theme, reference images are included to support the concept of buying food today and before 1990. Other than that, the visuals are mainly about common people’s daily routine nowadays. Along with the visual, the most artistic part in this video is Shanghainese dialogue, which explained food coupons in the way of storytelling. “I accidentally found many food coupons in my grandparents’ house this summer, so I went to ask them about the experiences they had with these coupons. My curiosity leads me to the theme.” said by the producer.
This particular video also has a different meaning to me. My Grandmother passed away one week before the video published at the film festival (at Scottsdale Museum of Commemoratory Art). This piece becomes memorable to me, sadly, my grandmother never had a chance to see the whole piece.
https://www.youtube.com/watch?v=fD0Y-BXDfnY
-3D animation for games
I learned Maya in an animation course. Like editing videos, I soon full in love with 3D modeling.
https://www.youtube.com/watch?v=nGIRxaUdYiY
Business idea, if an applicant has one. It is fine if an applicant is unsure when applying to the program. It is also fine if an applicant is interested in the artistic aspect of digital media and not the entrepreneurial aspect.
I would like to complete a mobile game project in my Graduate studies period and start a game company after graduation. Meanwhile, still active in the art field being an intermedia artist.
Goals or expectations upon completion of the digital media program.
-I want to learn more about computer technologies to create artistic works. Focusing on the field of game development.
-Do more social, get to know people in my field
-Get professional advices of my projects
Here is my cover letter, you can utilize this for the statement of interest.
As a creative and passionate professional with a rich history of developing creative materials, I am eager to submit my resume for consideration for the (Position Title) position .
StatementState legislatures continue to advance policy prop.docxrafaelaj1
Statement
State legislatures continue to advance policy proposals to address cyber threats directed at governments and private businesses. As threats continue to evolve and expand and as the pace of new technologies accelerates, legislatures are making cybersecurity measures a higher priority.
Assignment
You are page amendments to author a 2-page (maximum) paper about the “failed” amendments proposed by the Kentucky legislature in 2019 with respect to Cyber Policy. APA format – 1 cover page, 2 content pages, and 1 reference pageamendments proposed.
You are to answer two questions in your individual papers.
Brief background of the proposed amendment and “researched” speculation as to why it failed?
What would you propose for them to pass in 2020?
.
Statement of cash flows (indirect method) Cash flows from ope.docxrafaelaj1
Statement of cash flows (indirect method)
Cash flows from operating activities
Net income
72,600
adjustments to net income
depreciation
4,000
Gan on sale of investments
-7,000
Increase in AR
-36,000
Decrease in inventory
40,000
Increased in Accounts payable
13,000
Decrease in Accrued liabilities
-3,100
net cash provided by operating activities
83,500
Cash flows from investing activities
Purchase of Plant assets
-16,000
Sale of long-term investments
20,000
net cash provided by investing activities
4,000
Cash flows from financing activities
retiement of bonds
-31,000
payment of dividend
-32,500
sale of common stock
6,000
net cash provided by financing activities
-57,500
net increase in cash
30,000
Cash balance, beginning
230,000
cash balance, ending
260,000
Statement of Cash flows (direct method)
Cash flows from operating activities
cash received from customers
714,000
(sales - increase in AR)
cash paid for merchandise
477,000
(cogs - decrease in invnetory - increase in AP)
cash paid for other operating expenes
105,100
(selling & admin exp + decrease in accrued liab - depreciation)
cash paid for income taxes
48,400
net cash provided b oeprating activities
83,500
Cash flows from investing activities
Purchase of Plant assets
-16,000
Sale of long-term investments
20,000
net cash provided by investing activities
4,000
Cash flows from financing activities
retiement of bonds
-31,000
payment of dividend
-32,500
sale of common stock
6,000
net cash provided by financing activities
-57,500
net increase in cash
30,000
Cash balance, beginning
230,000
cash balance, ending
260,000
.
Stateline Shipping and Transport CompanyRachel Sundusky is the m.docxrafaelaj1
Stateline Shipping and Transport Company
Rachel Sundusky is the manager of the South-Atlantic office of the Stateline Shipping and Transport Company. She is in the process of negotiating a new shipping contract with Polychem, a company that manufactures chemicals for industrial use. Polychem want Stateline to pick up and transport waste products from its six plants to three waste disposal sites. Rachel is very concerned about this proposed arrangement. The chemical wastes that will be hauled can be hazardous to humans and the environment if they leak. In addition, a number of towns and communities in the region where the plants are located prohibit hazardous materials from being shipped through their municipal limits. Thus, not only will the shipments have to be handled carefully and transported at reduced speeds, they will also have to traverse circuitous routes in many cases. Rachel has estimated the cost of shipping a barrel of waste from each of the six plants to each of the three waste disposal sites as shown in the following table:
Waste Disposal Site
Plant
Whitewater
Los Canos
Duras
Kingsport
$12
$15
$17
Danville
14
9
10
Macon
13
20
11
Selma
17
16
19
Columbus
7
14
12
Allentown
22
16
18
The plants generate the following amounts of waste products each week:
Plant
Waste per Week (bbl)
Kingsport
35
Danville
26
Macon
42
Selma
53
Columbus
29
Allentown
38
The three waste disposal sites at Whitewater, Los Canos, and Duras can accommodate a maximum of 65, 80, and 105 barrels per week respectively. In addition to shipping directly from each of the six plants to one of the three waste disposal sites, Rachel is also considering using each of the plants and waste disposal sites as intermediate shipping points. Trucks would be able to drop a load at a plant or disposal site to be picked up and carried on to the final destination by another truck, and vice versa. Stateline would not incur any handling costs because Polychem has agreed to take care of all local handling of the waste materials at the plants and the waste disposal sites. In other words, the only cost Stateline incurs is the actual transportation cost. So Rachel wants to be able to consider the possibility that it may be cheaper to drop and pick up loads at intermediate points rather than ship them directly. Rachel estimates the shipping costs per barrel between each of the six plants to be as follows:
Plant
Plant
Kingsport
Danville
Macon
Selma
Columbus
Allentown
Kingsport
$ __
$6
$4
$9
$7
$8
Danville
6
__
11
10
12
7
Macon
5
11
__
3
7
15
Selma
9
10
3
__
3
16
Columbus
7
12
7
3
__
14
Allentown
8
7
15
16
14
__
The e.
State Two ways in which Neanderthals and Cro-Magnons differed. .docxrafaelaj1
State Two ways in which Neanderthals and Cro-Magnons differed.
List an important achievement for each of these scientist. Aristarchus, Euclid, Archimedes, and Herophilus
"Civilizations" is defined as the stage of development in which people have developed :
1. large, permanet communites.
2. a system of writing
3. divirsion
4. trade
5. a srtong central goverment
.
STAT 3300 Homework #6Due Thursday, 03282019Note Answe.docxrafaelaj1
This document outlines a homework assignment for a statistics course. It provides details on a multiple regression analysis examining the relationship between average student debt and various college metrics like admission rates, graduation rates, and in-state costs. The assignment asks students to conduct the multiple regression, analyze residuals, test hypotheses, and determine which variables are significant predictors of debt. It also provides learning objectives for a chapter on juvenile justice treatment and prevention programs.
State Standard by Content AreaLiteracy State Standard to Integra.docxrafaelaj1
State Standard by Content Area
Literacy State Standard to Integrate into Another Content Area
Use a different literacy standard for each content standard.
Standards-based Learning Objective
Aligned to content standards
Instructional Strategy to Integrate Literacy
Resources
Provide links to websites, PDFs, and any other documents used or referenced for strategy
Rationale
How the strategy will promote balanced literacy curriculum
State Content Standard 1:
State Content Standard 2:
State Content Standard 3:
.
STAT200: Assignment #2 - Descriptive Statistics Analysis and Writeup - Instructions
Page 1 of 3
STAT200 Introduction to Statistics
Assignment #2: Descriptive Statistics Analysis and Writeup
Assignment #2: Descriptive Statistics Analysis and Writeup
In the first assignment (Assignment #1: Descriptive Statistics Analysis Data Plan), you developed a
scenario about annual household expenditures and a plan for analyzing the data using descriptive
statistic methods. The purpose of this assignment is to carry out the descriptive statistics analysis plan
and write up the results. The expected outcome of this assignment is a two to three page write-up of
the findings from your analysis as well as a recommendation.
Assignment Steps:
Step #1: Review Feedback from Your Instructor
Before performing any analysis, please make sure to review your instructor’s feedback on Assignment
#1: Descriptive Statistics Data Analysis Plan. Based on the feedback, modify variables, tables, and
selected statistics, graphs, and tables, if needed.
Step #2: Perform Descriptive Statistic Analysis
Task 1: Look at the dataset.
• (Re)Familiarize yourself with the variables. Review Table 1: Variables Selected for the
Analysis you generated for the first assignment as well as your instructor’s feedback. In
addition, look at the data dictionary contained in the data set for information about the
variables.
• Select the variables you need for the analysis.
Task 2: Complete your data analysis, as outlined in your first assignment, with any needed
modifications, based on your instructor’s feedback.
• Calculate Measures of Central Tendency and Variability. Use the information from
Assignment #1 - Table 2. Numerical Summaries of the Selected Variables. Here again,
be sure to see your instructor’s feedback and incorporate into the analysis.
• Prepare Graphs and/or Tables. Use the information from Assignment #1 - Table 3.
Type of Graphs and/or Tables for Selected Variables. Here again, be sure to see your
instructor’s feedback and incorporate into the analysis.
STAT200: Assignment #2 - Descriptive Statistics Analysis and Writeup - Instructions
Page 2 of 3
Step #3: Write-up findings using the Provided Template
For this part of the assignment, write a short 2-3 page write-up of the process you followed and the
findings from your analysis. You will describe, in words, the statistical analysis used and present the
results in both statistical/text and graphic formats.
Here are the main sections for this assignment:
✓ Identifying Information. Fill in information on name, class, instructor, and date.
✓ Introduction. For this section, use the same scenario you submitted for the first assignment and
modified using your instructor’s feedback, if needed. Include Table 1 (Table 1: Variables
Selected for the Analysis) you used in Assignment #1 to show the variables you selected for the
analysis.
✓ Data .
STAT200: Assignment #2 - Descriptive Statistics Analysis Writeup - Template
Page 3 of 3
University of Maryland University College
STAT200 - Assignment #2: Descriptive Statistics Analysis and Writeup
Identifying Information
Student (Full Name):
Class:
Instructor:
Date:
Introduction:
Use the same scenario you submitted for the first assignment with modifications using your instructor’s feedback, if needed. Include Table 1: Variables Selected for the Analysis you used in Assignment #1 to show the variables you selected for analysis.
Table 1. Variables Selected for the Analysis
Variable Name in data set
Description
Type of Variable (Qualitative or Quantitative)
Variable 1: “Income”
Annual household income in USD.
Quantitative
Variable 2:
Variable 3:
Variable 4:
Variable 5:
Data Set Description and Method Used for Analysis:
Results:
Variable 1: Income
Numerical Summary.
Table 2. Descriptive Analysis for Variable 1
Variable
n
Measure(s) of Central Tendency
Measure(s) of Dispersion
Variable: Income
Median=
SD =
Graph and/or Table: Histogram of Income
(Place Histogram here)
Description of Findings.
Variable 2: (Fill in name of variable)
Numerical Summary.
Table 3. Descriptive Analysis for Variable 2
Variable
n
Measure(s) of Central Tendency
Measure(s) of Dispersion
Variable:
Graph and/or Table.
(Place Graph or Table Here)
Description of Findings.
Variable 3: (Fill in name of variable)
Numerical Summary.
Table 4. Descriptive Analysis for Variable 3
Variable
n
Measure(s) of Central Tendency
Measure(s) of Dispersion
Variable:
Graph and/or Table.
(Place Graph or Table Here)
Description of Findings.
Variable 4: (Fill in name of variable)
Numerical Summary.
Table 5. Descriptive Analysis for Variable 4
Variable
N
Mean/Median
St. Dev.
Variable 4:
Graph and/or Table.
(Place Graph or Table Here)
Description of Findings.
Variable 5: (Fill in name of variable)
Numerical Summary.
Table 6. Descriptive Analysis for Variable 5
Variable
n
Measure(s) of Central Tendency
Measure(s) of Dispersion
Variable:
Graph and/or Table.
(Place Graph or Table Here)
Description of Findings.
Discussion and Conclusion.
Briefly discuss each variable in the same sequence as presented in the results. What has the highest expenditure? What variable has the lowest expenditure? If you were to recommend a place to save money, which expenditure would it be and why? Note: The section should be no more than 2 paragraphs.
STAT200 Introduction to Statistics
Dataset for Written Assignments
Description of Dataset:
The data is a random sample from the US Department of Labor’s 2016 Consumer Expenditure Surveys (CE) and provides information about the composition of households and their annual expenditures (https://www.bls.gov/cex/). It contains information from 30 households, where a survey responder provided the requested information; it is all self-reported information. This dataset contains four socioeconomic variables (whose names.
State legislatures continue to advance policy proposals to address c.docxrafaelaj1
The document discusses a 2-page paper assignment on failed cybersecurity policy amendments proposed by the Kentucky legislature in 2019. Students are asked to answer two questions: 1) provide a brief background on a proposed amendment that failed and speculate on why it failed, and 2) propose an amendment for the legislature to pass in 2020. The assignment requires citing sources and original work, and is due by the specified date. It also provides background on one failed proposed amendment related to protecting personal information.
State FLORIDAInstructionsThis written assignment requ.docxrafaelaj1
State: FLORIDA
Instructions
This written assignment requires the student to investigate his/her local, state and federal legislators and explore their assigned committees and legislative commitments. The student is expected to investigate current and actual legislative initiatives that have either passed or pending approval by the house, senate or Governor’s office. The student will draft a letter to a specific legislator and offer support or constructive argument against pending policy or legislation. The letter must be supported with a minimum of 3 evidence based primary citations. (See Rubric)
Submission Details:
Support your responses with examples.
Cite any sources in APA format.
Submit your document to the
Submissions Area
by
the due date assigned.
.
State of the Science Quality ImprovementNameInst.docxrafaelaj1
State of the Science Quality ImprovementNameInstitutionsDate
Abstract
The condition of chronic heart failure sometimes is referred to as congestive heart failure (CHF), which is recognized as an acute life-threatening disease that majorly affects millions of American citizens annually. The condition of the chronic heart failure results when the heart is incapable of sufficient pump the blood throughout the body tissues due to the weak heart muscles (January et al., 2019). Certain conditions, such as narrowed arteries in the heart (CAD) or high blood pressure, gradually leave the heart too weak or stiff to fill and pump efficiently. Moreover, there are some of the several conditions such as coronary artery diseases and hypertension that leads to acute and chronic heart failure in the body system. More importantly, to avoid the possibility of this dangerous condition as well as the ever-increasing of the re-admitted hospital continue, collectively, the patient must be able to control the earlier stated conditions along with diabetes as well as obesity at home-based care and with their primary healthcare providers as well. According to Santesmases-Masana et al. (2019), "Primary health care planned care has been shown to reduce heart failure re-hospitalizations and maintain the patient quality of life." With this known knowledge, it is important to continue care at home and with their primary care provider to monitor and detect worsening of their condition sooner rather than later with evidence-based treatment practices. There are many evidence-based treatments for chronic heart failure that includes monitoring of vital signs, weight, and diet along with medications. In this paper, chronic heart failure, problem discussion, PICO question, and theoretical framework will be presented.
Problem Discussion
Chronic heart failure is a chief public health care concern linked with the high degree of mortality and morbidity in the U.S. Heart failure usually results in adverse outcomes, and the most costly is the issues of hospital readmissions. Currently, the heart failure management clinical procedures and pieces of evidence emphasizes the significance and the function of the care interventions a mid preventing the heart failure readmissions in the hospital set up. The current literature review is meant to evaluate and assess the effectiveness of transitional care interventions that intend to minimize hospital readmissions. Increase hospital readmission and worsening chronic heart failure complications are due to lack of following of a primary care provider and home monitoring of vital signs, weight, diet, energy level, and breathing patterns by the patient. There are many evidence-based practices and comprehensive guidelines for chronic heart failure treatment with side effects of some medications about individual races. For instance, losartan has little to adverse impact on blacks. Furthermore, according to Hadidi et al. (2018), "It has been.
State Data_1986-2015YearGross state product per capitaEducation sp.docxrafaelaj1
The document provides data on various metrics for a U.S. state from 1986 to 2016 including gross state product per capita, education spending per student, unemployment rates, and high school graduation rates. It shows trends over time, with generally increasing economic output and education spending, and decreasing unemployment and increasing graduation rates. The data could help inform policymaking and planning.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
STAT212Assignment#6.docxDescriptionIn each of the 4 research.docx
1. STAT212Assignment#6.docx
Description
In each of the 4 research scenarios and datasets below.
1. Read about the variables present, and formulate your default
expectations about the relationship
between two variables or groups. State these as your null and
alternate hypotheses for this problem.
Feel free to re-code the data to help formulate your hypothesis
(for example, splitting a continuous
measurement into two ordinal groups, "High" and "Low".)
2. What sort of measurements would help you evaluate your null
hypothesis? compute sample statis-
tics (center, dispersion, correlation) that will allow you to see if
the data is consistent with your
null or alternate hypothesis?
3. Create a graph that visually depicts the relationship between
the variables in your hypothesis.
Does the graph provide convincing evidence for one of your
hypothesis? Explain why or why not.
Scenario 1
The _le BodyFat.csv contains Body Fat percentage
measurements, age, weight, density, height, and
various body part circumference measurements. for over 200
male subjects.
Scenario 2
The _le BestCity.csv contains various measurements of
quantities associated with the quality of life in
a collection of 20 different cities across the US.
Scenario 3
The _le Normtemp.csv contains various average body
temperature, gender, and heart rates for 130
participants.
Scenario 4
2. The _le Titanic.csv contains information on those aboard the
Titanic passenger class (0-crew, 1-_rst,
2-second, 3-third), Adult (1-yes, 0-no), Gender (0-Women, 1-
Men), and survival status (1-yes, 0-no).
Due 3/13/20
1
BestCity.csvCityIncomeCommuteJob GrowthPhysiciansMurder
RateRape RateGolfRestaurantsHousingMedian
AgeLiteracyHousehold
IncomeRecreationA26000.049.210.81987.05.351.3925.05582.01
09400.035.35.268000.02620.0B29300.045.39.5517.06.650.8364.
09988.097000.043.26.070400.03066.0C24800.039.88.2592.08.2
77.71627.020511.0114700.029.59.460500.01297.0D27900.046.8
7.63310.06.751.2956.08946.099100.040.54.665900.02902.0E37
500.039.912.2975.05.140.1426.04000.0122200.047.15.684700.0
2214.0F31900.049.57.72238.06.938.01459.08970.0145300.039.
34.875800.01402.0G25300.044.45.4611.04.538.81063.09570.09
9500.038.66.862600.02900.0H22000.044.86.2272.07.565.7951.
019101.076400.041.62.854800.02448.0I29400.044.97.8381.08.4
48.7349.012099.0112500.041.84.572900.02756.0J42400.044.78.
01812.08.145.4397.010953.0143500.041.25.2100000.02508.0K4
0500.040.010.9294.08.069.6191.02655.0173600.041.76.410200
0.03000.0L24700.038.79.0196.02.819.0449.015796.0129200.03
3.41.765300.01570.0M24400.041.18.7404.07.377.21590.016001
.0126500.030.65.662200.01713.0N22400.042.88.3534.05.757.9
1160.016712.0102700.034.52.259200.02190.0O22200.037.88.41
66.05.650.9815.011856.0110300.035.42.757100.02142.0P27500
.048.48.11553.014.083.61195.012348.0107400.034.34.072000.0
2657.0Q23100.044.54.7502.07.942.7556.065804.0116000.038.5
2.159400.02066.0R25000.041.413.9172.04.017.8459.036151.01
20000.052.73.657300.01467.0S25800.053.55.34143.016.857.43
054.014310.0132800.036.25.071900.03520.0T22600.045.06.552
6.05.552.2861.08878.086500.041.55.354000.02977.0
Titanic.csvCLASSADULTSEXSURVIVE1111111111111111111
8. MODULE NO: MAN00001I
MODULE TITLE: Business Planning
Module Tutor: Dr. Alex Gillett
Essay Title: Group Business Plan
GROUP Number Group 2: MyTaxiBooker
or name
Word Count: 4,833
(excl. Executive Summary/Abstract, tables, figures, captions,
table of contents,
references and appendices)
0
kj628
Rectangle
kj628
Rectangle
17. Executive Summary
MyTaxiBooker is a multi-functional smartphone app and
accompanying website targeted at
locals and specifically the student population (over 85,000) in
York and Leeds with the initial
launch planned for October 2014. The identified need is for a
convenient, easily accessible,
cashless, intuitive, safe and cost-saving method of booking a
taxi.
The increase in the market for travel apps by 149% in 2013 and
the expected trend
continuation (Khalaf, 2014) combined with the general
‘technolisation’ of society (Walker et
al., 2010) exists in light of a shift in consumer preferences
18. towards personal management of
travel at their fingertips. The opportunity arises from an array
of issues that may be broadly
contained as two-fold in nature. From a student perspective,
prolonged waits in undesirable
weather conditions are not uncommon, followed by arbitrary
waiting times that beckon the
unwanted need to contact a taxi company on numerous
occasions, often to discover extensive
waiting times. Further, many students feel the need to walk
home late at night as a result of
an inability to justify journey prices, this raises safety concerns.
From a company perspective,
lack of competition exists within these cities and the market is
dominated by a few larger taxi
firms due to the incapacity of smaller firms to gain funds for
efficient and effective
marketing. Moreover, currently there is no proof of purchase
therefore taxi companies cannot
trace customers under the influence of alcohol for fare evasion.
MyTaxiBooker targets these
issues. Confirmation from market research suggests strong
demand at 85% for
MyTaxiBooker’s service offering. Furthermore, tuition fee
19. increases and the upward trend in
cost of living imply that money saving and convenience
techniques appear dominant on most
people’s priority list.
The company will exploit social networking as a cost efficient
method of advertising to
ensure maximum customer usage and development of a strong
brand presence within the
market. The company will utilise the ‘first mover’ advantage
(Porter, 1980) as the first app of
its kind and the only region specific app in York and Leeds.
Rented office premises will be located in York city centre due
to its close proximity to the
University of York, York St John and the railway station for
easy access to Leeds.
Distribution staff will circulate promotional material, in and
around the target regions
4
20. throughout the year, whilst the managing director will be
responsible for negotiating deals
and managing day to day activities. Furthermore, suppliers will
include external accountants,
lawyers, and website and app designers. An efficient
outsourcing strategy will ensure low
fixed costs, the effective use of capital, increases in profit
levels. Employee numbers will
increase so as to meet business expansion.
Six start-up shareholders will collaboratively inject £70,000
start-up capital (1 individual
21. investing £20,000, 5 others £10,000) in order to fund
advertissing as well as design and
launch of the website and app and other start-up and initial
running costs. As MyTaxiBooker,
is a technology based product, costs are relatively low and
profit forecasts are; £56,421 after
year 1, £88,797 after year 2, and £106,039 after year 3. The
company pays back within 1 year
and 2 months and breaks even within the second month of
operations. These minimalistic
figures have been assumed from average assumptions extracted
from market research and the
company have assessed any risks that may hinder financial
success.
At termination of the three year period, the company will have
sufficient understanding of the
sales trends and demand fluctuations in high and low seasons.
App popularity within York
and Leeds should be such that a strong brand name will
accompany the business aim of
expansion to Manchester and Newcastle with a long term vision
to be present in 7 UK cities
by 2020.
23. 1.0 Business Venture
1.1 Product Offering
MyTaxiBooker is the innovative idea of six university students
who have identified and
confirmed through market research, a gap in the transport app
market. MyTaxiBooker, a
distinctive smartphone app and accompanying website, will
remodel the existing taxi booking
process and consumer experience. MyTaxiBooker ensures that
students and locals in York
and Leeds can benefit from an efficient travel experience as a
result of its intuitive taxi
booking system, coupled with the ability to earn ‘taxi miles’
through the app rewards system.
MyTaxiBooker serves as an insightful data collection tool for
taxi drivers and companies who
list with the company; details of sales and demographics will be
available through the app
system. However, it is company policy that no personal user
information is shared with any
24. secondary parties.
York and Leeds possess abundant student populations, above
85,000 (Unistats, 2014) and an
estimated overall population of over 900,000 (ONS, 2011)
which MyTaxiBooker aims to
capitalise on. The app will be available as a free download on
the Apple App Store®, the
Android Marketplace®, and Windows Store®. Targeting current
journey concerns, costly
fares, security fears, and waiting times epitomise the nature of
MyTaxiBooker’s purpose.
(Please see appendix 4.0 for an extensive list of features and
product information and
appendix 5.0 provides a process map of the service). Planning
progress shall be hereby
outlined.
1.2 Nature of Demand
Demand for the product is ensured through identification and
satisfaction of the needs of taxi
users and taxi companies. Market research (appendix 1.0)
suggested that out of the 100 York
and Leeds students questioned:
25. 6
78% use a taxi at least 1-2 times a week
85% would order a taxi by app if a suitable one was available
90% suggested waiting times and price as their main concerns
58% prefer to pay for their journey by card
The research findings alongside the personal experiences of the
business founders enabled
26. identification of the following needs/concerns that are to be
considered by MyTaxiBooker in
order to generate high demand for our product.
The table below illustrates the potential demands, both from a
consumer a supplier
perspective and how those demands may be satisfied by
MyTaxiBooker.
7
27. Individuals booking through the app Taxi firms
listing/advertising with the app
Need/concern Satisfying the need Need/concern Satisfying the
need
Long waiting times
High cost
Safety
Late taxi arrival
Loss of possessions
28. Waiting times may be tracked and
compared
Discounts and taxi miles are available
ID may be verified on the app to
determine whether the driver is licensed
to drive the vehicle
Taxis may be monitored through GPS
and this in turn should encourage taxi
efficiency. It also reduces the need to
repeatedly call taxi firms to enquire
waiting times
Proof of purchase so the taxi may be
traced
Market visibility of
small taxi firms
Lack of competition
No proof of purchase
Competition from
29. other forms of
transport
Reputation
Maintenance
Provides a platform where small companies are
able to promote themselves against the larger
firms without financial constraints
Currently larger firms dominate the market due
to customer familiarity. The app will enable
smaller firms to offer discounts hence raise
market competition
Firms can identify the name of the individual
who booked the app through a customer receipt.
This avoids complications especially after clubs
nights where people may claim a taxi they have
not booked.
Ease of booking, lower costs, and timing
availability for consumers should promote
30. increased taxi usage.
Firms are encouraged to act efficiently since
consumers are able to observe company reviews
and monitor waiting times. The liquidity of
customer loyalty is such that they are easily
prone to swapping to regular usage of taxi firms
that appear to possess a superior reputation on
the app. Increased efficiency will therefore
enable ease of reputation maintenance.
Option to pay by card Less need for cash Option to pay by card
No cash at hand
8
31.
32. 1.3 Mission
“To provide economy and efficient minded taxi users with a
free, user friendly and
innovative platform for booking and monitoring the travel
process with consistency of
service, heightened opportunities for taxi affordability and
safety advancement
features. Our mission extends to building strong advertising
links with the University
of York, York St John, York College, Leeds University and
Leeds Metropolitan
University in order to instigate and strengthen brand awareness.
Further, we seek to
introduce ease into the user booking experience and develop
overall user satisfaction
33. by addressing current concerns and discontents.”
1.4 Vision
“MyTaxiBooker aims to develop and maintain its position as the
leading provider of a
taxi booking service providing discounts and savings
specifically targeted at the UK’s
student populations. The launch in York and Leeds will be the
first of its kind in the
UK and distinctive as the only region-specific UK taxi app
outside London. Although
the ‘free-rider effect’ (Lieberman & Montgomery, 1988) may be
possible, whereby
companies mimic an idea without the extensive costs of
research and development,
MyTaxiBooker intends to establish a strong reputation in its
primary regions prior to
extending services to other large cities with large student
populations. We envisage
the prospect of widespread customer loyalty through the
advantage of being the ‘first
mover’ in the market.”
9
36. Ensuring equitable
market exposure for
larger and smaller taxi
firms
Enhancement of
student safety
Fair treatment of all
stakeholders
Efficient and reliable
service for users
Rapid growth so as to
maximise company
shareholder returns
whilst maintaining
stakeholder
satisfaction
Competitive
Remuneration
37. Packages (discussed
with employees
regularly)
1.6 Business Objectives
MyTaxiBooker functions in line with the management by
objectives concept (Drucker, 1954).
All objectives should be Specific, Measurable, Attainable,
Realistic and Time-bound
(SMART) (Doran, 1981).
To break even within the first three years
To increase app usage by 3% (comparing
usage to the respective month in the
previous year)
To begin expansion of services to
Newcastle and Manchester in the fourth
year of operations.
Key Business
Objectives
10
38.
39. 1.7 Strategic Capabilities
Makadok (2001) emphasises the importance of capabilities
which determine the firm’s
capacity to efficiently deploy resources. In the first three years
of operations, the firm will
follow the dynamic capabilities view which focuses on
competitive survival and adaptation
during times of rapid external change in the macro environment.
However often, adaptation is
not possible due to practical feasibility constraints that apply to
technological industries.
Operation in a low competition market
The app is introduced at a time where there is a strong need
40. which has
been identified through market research, ‘right place at the right
time’
Flexible to changes in the market environment since all
operations
are maintained electronically
A financial advantage since low start-up and running costs
result in a requirement for
low capital investment and a net profit margin
First mover advantage through technological leadership which
is often considered the most
strategic advantage if capitalised upon, ensuing long lasting
profits (Reinganum, 1983)
University support for advertising and promotion
CAPABILTIES
However the firm recognises the following resources as possible
long-term contributors to
sustained competitive advantage:
11
41.
42. Tangible Resources Intangible Resources
external expertise from a panel, managerial
skills, practices and procedures
Innovation and creativity – technical skills
and capacity for innovation
Reputation – Evaluation and control systems,
company culture
Financial resources such as cash accounts
and the ability to raise equity
Human – experience and capabilities of
Physical Resources such as the office,
favourable promotion locations
Technological resources – intellectual
property
distributors and the managing director,
Applying Barney's (1991) VRIN (Valuable, rare, inimitable, and
43. non-substitutable)
framework assists determination of whether a resource is a
source of sustainable competitive
advantage. Priem and Butler (2001) state that this framework
has little prescriptive value; and
it is difficult to decide resources that meet all the VRIN criteria
however, reflection does
position managers to consider unique profit-creating resources
that collectively construct the
businesses resource base.
1.8 USP and Competitive Advantage
The uniqueness of MyTaxiBooker and lack of competition in its
target regions warrants the
company an ability to distinguish itself as unique, offering a
multi-functional free service
with numerous user benefit-creating features (see appendix 4.0).
The opportunity for strong
brand presence and customer loyalty may ultimately instigate a
brand image that is
synonymous with booking a taxi in York and Leeds. According
to primary research, 85 of
100 student respondents and all four taxi respondents (ten were
contacted) would utilise the
44. app with the purpose of addressing journey apprehensions and
ensuring an ordered and
unproblematic booking process on behalf of both parties.
12
45. 2.0 Market Analysis
2.1 Macro Environment Audit
2.1.1 PESTLE Analysis
(Please see appendix for 6.0 for PESTLE analysis)
PESTLE (Political, Economic, Socio-cultural, Technological,
Legal, and Environmental)
analysis is an effective method of assessing the inevitable
macro environmental factors that
may impact on the success of MyTaxiBooker (Lynch, 2009).
Model Weaknesses
PESTLE can readily
become obsolete
46. Analysis provides
purely a list of
factors
Our Approach
The company will regularly update the analysis in order to
ensure
anticipation, avoidance and minimisation of any threats that
may
limit, or take advantage of factors that may contribute to the
company’s future success (Blythe, 2009). Analysis will be
updated
using contribution from all people involved in the business
(employees and members of the board) in order to capture
different
business perspectives; in turn aiding the development of
strategic
thinking and the decision making process of MyTaxiBooker.
Rapid
market change renders it increasingly difficult to anticipate
trends that
may affect an organisation in the future. However, the simple
framework will enable the firm to rapidly position itself with
47. regards
to current market trends.
It must be used in conjunction with other frameworks in order
to
ensure a holistic view of the company’s marketing environment
(Cheverton, 2005). PESTLE highlights the opportunities and
threats
likely to affect the company and these will inspire the external
inputs
into the SWOT analysis. The factors under each heading have
been
listed in order of present and future significance, enabling the
company to prioritise in order to counteract any risk that these
factors
may cause.
13
48.
49. The company will use frameworks as a supporting tool for
analysis and evade over-reliance
since this can often lead to the oversimplification of data in the
decision making process.
2.1.2 Porters Five Forces Analysis
Michael Porter (1979) argued that the state of competition relies
on five basic forces that
affect the organisation. He developed the model to the then
popular SWOT analysis which he
believed to be without rigour. MyTaxiBooker will function in an
industry, composed of a
group of firms offering similar services.
The following provides a useful tool for analysing the
relationship between competitors,
suppliers and the market.
Intensity of rivalry
within the industry
Threat of substitute products
Bargaining power
of buyers
Bargaining
power of suppliers
50. Threat of new
entrants
(Lynch, 2009)
The five forces model will be utilised in order to create a
qualitative evaluation of
MyTaxiBooker’s strategic market position and respond to
apparent opportunities/deal with
potential threats (Grundy, 2006). However, it must only be used
at the business industry level
as opposed to the industry group level. The analysis has been
criticised by Coyne and
Subramanium (1996), stating that unrealistic assumptions
underlie the five forces such as that
14
51. buyers, competitors and suppliers do not interact, that barriers
to entry create value and that
participants in the market can plan for and respond to
competitive. However, the framework
provides the business with a tool for raising awareness as to the
potential forces impeding on
its operations and an understanding of the relationship between
competitors, suppliers, and
the market.
52. Werner (1984) argues that Porter’s five forces fail to consider
the unique resources and
capabilities that enable a firm to be successful in an industry.
Therefore, when MyTaxiBooker
transfers focus towards competitive advantage, it will combine
the analysis with a RBV
analysis in order for the firm to understand the competitive
strengths that may enable it to
overcome the forces,
(Please see appendix 7.0 for five forces analysis)
2.1.3 Ansoff Matrix
The app will undertake a product development strategy
approach since it will utilise an
existing industry and develop a differentiated product therefore
improving the performance of
the industry (Ansoff, 1957). The app provides an alternative
taxi ordering method in York
and Leeds. Please see section 9.2 (Further Development) for a
fuller understanding of the
matrix application to the business.
15
53.
54. 2.2 Micro Environment Audit
2.2.1 The Market
The business market is the York and Leeds taxi industry (719
taxis) which is primarily dominated by
large taxi companies. In York, Streamline and 669 taxis
dominate the market; Leeds is dominated by
Amber taxis. These companies have agreed to the use of our
service (please see appendix 2.0) which
in turn should encourage smaller taxi companies to participate.
The York and Leeds markets do not
currently possess an alternative booking system to the
traditional phone call system.
2.2.2 Target Market Size
The market size is large with a number of educational
institutions possessing large student
populations; the University of York with 15,253 students, York
St. John University (5,824 students)
and the surrounding colleges such as York College (7,492)
students. There is an ever larger student
presence in Leeds with Leeds University (33,600 students), and
Leeds Metropolitan University
55. (18,994 students).
2.2.3 Customer Segmentation
MyTaxiBooker will provide a solution to meet the needs of
individuals and taxi firms identified in
section 1.2 (Nature of Demand). A combination of desk and
field market research has confirmed the
need and the desire of our product amongst university students,
locals and taxi firms.
Heterogeneity in demand from our customer base is such that it
can be segmented into diverse
demand functions (Dickson & Ginter, 1987). This will enable
the company to focus marketing on
those more likely to use the product and identify the relevant
resources to undertake this process.
1. Segment geographically – York and Leeds
2. Segment by markets (Business-to-Consumer and Business-to-
Business), as follows:
16
56.
57.
58. Type of factor Business-to-Consumer Business-to-Business
Characteristics
of people/
organisations
Purchase/use
Users’ needs
59. and preferences
for product
Smartphone users:
university/college students and
locals, both male and female
that use taxis as a means of
transportation
Size of purchase
Size of their purchase is
assumed to be 5% commission
of an average £9.50 journey
Brand Loyalty
Provided that the app increases
customer utility, brand loyalty
will be high amongst this
segment since no competition
exists
Purpose of Use
60. To facilitate the consumer in
booking a taxi
Purchasing Behaviour
Frequency of use will be varied
but market research suggests a
minimum of 1 to 2 times per
week. Seasonal variations will
alter frequency (holiday
periods)
Importance of Purchase
Enables a more convenient
booking process as opposed to
calling multiple taxi firms
Product Similarity
Not applicable since no …
Small contents page for editing reference
· 1.Executive summary 1
· 2.Business details 1
· 3.Industry and market analysis 2
· 4.Customers and value proposition 2
61. · 5.Marketing and sales 3
· 6.Operations and Resources 3
· 7.Management team, personnel, and company structure 1
· 8.Legal and industry requirements 4
· 9.Financing & financial forecasts4
· 10.Risk assessment 5
· 11.Key milestones 5
· 12.Beyond Start-up5
3.1 Industry Analysis:
Current UK school uniform suppliers come with one of two
major issues: their uniforms are either too expensive or they
contribute to the growing issue of fast fashion as 350,000
tonnes of unwanted clothing head to UK landfills every year
(WRAP, 2012). At Uniformed we are aiming to provide school
uniforms that serve as a solution to both of these issues.
Offering parents with a cheaper alternative, that are made
entirely out of recycled clothing, without skipping out on
quality.
For the meantime there are little-no direct substitutes for a
school uniform, even though there is no legislation regarding
62. the wearing of school uniforms. The decision falls on the
individual schools, and it is traditional custom that school
children in the UK wear them. This is not to say that it will not
change in the future, although there are no signs of doing so.
Uniformed’s target market is the low end of the market. We aim
to satisfy the needs of those looking to save money on school
uniforms, so largely low-income families, in the (specific?)
London area. As well as those who are conscious of the
environmental effects of fast-fashion and seeking an eco-
friendlier alternative.
The ‘back to school’ market is growing year on year as the
latest research from Mintel (2019) estimates that the back-to-
school market was worth £1.16 billion (up 36% from the
previous year) in 2018, with the number of children in school
continuously growing (see figure 1). This paired with the
increasing spending on school uniforms (see Market Analysis)
leads us to believe this industry is a safe one to enter, with
considerable profit potential. With the end goal being to supply
school children up and down the country with our cheaper, more
sustainable uniforms.
Year
State funded primary school pupils
State funded secondary school pupils
State funded school pupils
All school type pupils (including independent schools)
2013
4,309,580
3,210,120
7,519,700
8,249,810
2014
4,416,710
64. Government regulation is relaxed – the list of guidelines is
addressed in the market analysis. No new issues are expected to
arise with the impending exit from the European Union.
3.2 Market Analysis:
Mintel estimates that the back-to-school market was worth
£1.16 billion in 2018. This is a huge market with lots of
opportunity for new players and an even bigger potential to
undercut the market given the continuous rise on prices of
school uniforms. The Department for Education (DfE) asked
1183 parents about the cost of school uniform in 2015 and
(adjusted for inflation) the figures came to £217 for a primary
school girl, and £207 for a boy. Our uniforms priced at [????]
are [%] cheaper.
To begin with, we will be aiming to target 30 schools in the
(specific?) London area, selling on average to 20% of the
students in that school. Given the average number of children in
primary schools is 281 (Staufenberg, 2018), this gives us an
estimated number of customers per school of 56, and thus, 1860
estimated customers overall.
Competitors competencies vary, with some being highly
established and respected suppliers specialising in quality, and
others looking to provide simpler options at a cheaper price.
Some of the specialist retailers are deploying eco-friendly
ranges, but none of our competitors can match us on price nor
environmental protectionist measures.
Company
65. Competitor 1 (Uniform Direct)
Competitor 2 (Stevenson’s)
Competitor 3 (David Luke)
Competitor 4 (Supermarkets)
Our Company (Uniformed)
Revenues (£)
xxxxxxx
130,400,000
44,480,000
xxxxxxx
Need from someone else
No. of Employees
xxxxxxx
(small company)
212
25
xxxxxxx
(large amount)
Need from someone else
Size
5 stores
28 (16 high street, 12 on campus)
10 online stockists, 50+ in-store stockists
xxxxxxx
(large amount)
Online shop
Price
Low-Medium (collection dependent)
High
High
Low-Medium
(supermarket dependent)
Low
Quality
Low-Medium (collection dependent)
High, bespoke products offered
66. Medium, some bespoke products
Medium-Low
(supermarket dependent)
Medium?
Choice
Low
Very Large
Moderate
Moderate-Large
(Supermarket dependent)
Medium?
Delivery
Free on orders over £25, priority delivery available
Worldwide – price dependent on order size.
Done through stockists
Excellent delivery services, free on expensive orders, express
delivery offered.
Nationwide – price dependent on order size
Eco-friendly?
No eco-friendly products
Endorser of ‘Old School Uniform’. All packaging they use is
recycled.
Eco-Uniform range using plastic bottles to make the polyester
in products.
Borderline fast-fashion activity. Some chains will package with
recycled materials but overall very bad for the environment.
100% made out of recycled clothing. Packaging made of
recycled materials too.
Figure 2: Table comparing competitors against Uniformed
The lack of eco-friendly products on the market offer a gaping
hole for us to slot in to. Whilst some competitors have eco-
friendly ranges, we are the first and only provider in which
100% of our activity is eco-friendly. Uniformed are fully
committed and uncompromising in our product and message.
67. And everything that we do, goes towards creating a financially
cheaper alternative for parents, without skipping out on quality
by sourcing our materials from the leading used clothing
provider in the UK (ukusedclothes.co.uk). To further ensure
quality we only accept clothing in their “Cream” range which
consist of new/nearly new clothing from UK high street brands
ONLY.
We aim to create a trendy & desirable range to move focus from
the idea that it is “recycled clothing”. It’s important to us to
reaffirm that they aren’t old/reused clothing, we have taken
something old and made it into something new. We intend on
being as transparent about the process (making videos etc?) as
possible to show kids/parents that these aren’t old or ruined
hand-me-downs, but new, clean, eco-friendly alternatives.
When it comes to barriers to entry concerning potential future
competitors, costs are low which is an issue and we don’t have
substantial funding to corner off the market. However, with
sufficient funding we will be able to expand production and
make it difficult for potential competitors to replicate our
model. We are building a strong relationship with our suppliers
hoping to bargain lower prices with larger orders. There is no
current supplier making new uniforms out of recycled
clothes/materials. We will be successful because Uniformed
presents an innovative way to provide eco-friendly uniforms for
kids. The nature of our production process means that we are
not at risk of running out of cheap materials/ingredients.
Regulation in this industry is extremely relaxed, within the
wider textile industry the main elements are:
· General obligation to state the full fibre composition of
textile products;
· Exemption applicable to customised products made by
self-employed tailors;
· Empowerment of the European Commission to adopt
68. delegated acts amending the technical Annexes of the
Regulation, in line with Article 290 of the Treaty on the
Functioning of the European Union.
3.3. Customer Value Proposition:
· Save: your money and the planet.
Paying less towards a better environment for future generations.
Purchasing our uniforms over our competitors means you can be
part of a solution to the fast fashion problem and save money on
your children’s uniforms whilst you do so.
Staufenberg, J. (2018). ‘DfE: Schools get bigger as pupil
population increases by 66,000’. Schools Week. Published June
28th 2018. Available at:
https://schoolsweek.co.uk/dfe-schools-get-bigger-as-pupil-
population-increases-by-66000/ [Accessed April 23rd 2020]
WRAP. (2012). ‘Valuing our clothes: the evidence base’.
WRAP. p.2. Available at:
https://www.wrap.org.uk/content/textiles-overview [Accessed
April 23rd 2020]
School census. (2019). Main text: Schools, Pupils and their
Characteristics. GOV.UK. Published 27th June 2019. Available
at:
https://assets.publishing.service.gov.uk/government/uploads/sys
tem/uploads/attachment_data/file/812539/Schools_Pupils_and_t
heir_Characteristics_2019_Main_Text.pdf
[Accessed 23rd April 2020]
Department of Education. (2015). ‘Cost of School Uniform
Research Report’. GOV.UK. Published June 2015. Available at:
https://assets.publishing.service.gov.uk/government/uploads/sys
69. tem/uploads/attachment_data/file/436576/RR474_Cost_of_scho
ol_uniform.pdf [Accessed 23rd April 2020]
Mintel. (2019). ‘Counting the cost: Brits spend £1.2 billion
sending kids back to school.’ Mintel Press Office. Published
18th August 2019. Available at: https://www.mintel.com/press-
centre/retail-press-centre/counting-the-cost-brits-spend-1-2-
billion-sending-kids-back-to-school [Accessed 23rd April
2020]
5.Marketing strategy
Marketing Objectives
Our marketing aims include:
- To build and maintain the loyalty of our customers
through relationship marketing
- To eventually achieve brand awareness as one of the most
environmentally sustainable uniform production companies
- To gradually expand our base across London, allowing us
to further expand our reputation
Our marketing mix is a tool that will enable us to achieve our
marketing objectives (Jobber, 2013).
Marketing plan
Target market
Our target market is children from low-income backgrounds
with household incomes below £30,000. One in six families are
forced to cut back on food and other basic essentials to afford
their children’s school uniform (Battersby, 2019). In 2018 there
were over 2.74 million children living in families in relative
low income (Gov.UK, 2020). Therefore, the size of this segment
is very large in comparison with the overall market. Our
products will be at a lower cost to our competitors, enabling our
company to be a suitable option to those from low-income
70. backgrounds. Additionally, at first, we will only target children
in primary school, from the ages of 5 to 11 years, due to our
lack of resources, as less materials will be required. Then, once
growth is achieved, our company will establish a segment
expansion strategy into all school uniform clothing (Shaw,
2012).
Branding and Positioning
The company will create their brand awareness primarily
through word-of-the-mouth. Once the first initial contacts are
made, we are hopeful word will spread. Eventually, as our
company expands, schools will reach out to us to provide their
schools with our eco-friendly uniforms. Our main focus is
providing prosperous value to our first schools, thereby building
our brand as a reputable organisation. Uniformed will utilize
their environmentally sustainable image to create a memorable
and meaningful aspect to the brand through storytelling.
Positioning involves the design of the company’s image and
offering, creating a distinct competitive position in the targeted
consumer’s mind. Uniformed will position themselves as a
supplier of environmentally sustainable uniforms for primary
school children. The organisation will be most beneficial for the
environment, in relation to our competitors, thereby providing
competitive advantage. Additionally, the lower cost of our
product in comparison with our well-known competitors will
further successfully position the company to attract the low-
income segment.
Marketing Mix
The marketing mix consists of the 7P’s model, enabling
Uniformed to portray all service operations within the market.
The 7P’s model is a more recently developed model than the
4P’s model, which only consists of product, price, place and
promotion (Ivy, 2008). The marketing mix is highly relevant to
the company’s overall marketing plan but may need to be
71. adjusted as the company grows.
Product
Uniformed sell a range of clothing items in primary school
uniforms for children. These uniforms are entirely reproduced
from second-hand clothing. Our product variety is large due to
the different types of clothing required.
Figure 1.0 Uniform items list
Girls uniform
Girls sportswear
Boys uniform
Boys sportswear
Blouse
T-shirt
Shirt
T-shirt
Blazer
Shorts
Blazer
Shorts
Jumper
Jumper
Jumper
Jumper
Skirt
Skort
Shorts
Tracksuit
Pinafore
Tracksuit
Trousers
Socks
Tights
72. Socks
Socks
Socks
Customers can choose to purchase any variety of clothing
dependent on their requirements, for example, some schools
require girls to wear skirts, while others require pinafores. The
selection of clothing items have been designed to meet the
needs of all customers. In regard to Ansoff’s Matrix, Uniformed
is undergoing product development. This is where the
innovative construction of second-hand clothing takes place in
an already established school uniform market (Ansoff, 1957).
The modification of our product through utilizing previously
owned clothing is an inventive approach to reducing the impacts
of fast fashion.
All of our clothing will be fitted based on these age range
brackets:
· 5 to 6 years
· 7 to 8 years
· 9 to 10 years
· 11 to 12 years
Price
In our calculation of price, we have summarised uniforms’ as a
whole to provide a widened outlook on the cost of our products.
Our aim is to price our products at a strict minimum of 5%
below our competitors. Thereby, visibly highlighting our lower
cost of products, enabling us to attract our targeted segment.
This shows our competitive pricing strategy, constructed
through Porters Five Forces analysis (Porter, 1980). We are
aiming to achieve a matched or reduced price for our products,
73. when compared with our competitors, to ensure Uniformed is a
cheaper alternative.
Figure 1.1. Table showing cost of item for girls’ uniform for 11
to 12 years
Girls uniform
Cost per item
£
Girls sportswear
Cost per item
£
Blouse
1.30
T-shirt
0.80
Blazer
8.00
Shorts
1.30
Jumper
1.70
Jumper
1.70
Skirt
2.80
Skort
2.80
Pinafore
3.50
Tracksuit
3.00
Tights (pair of 2)
1.50
Socks (pair of 2)
0.50
Socks (pair of 2)
74. 0.50
Figure 1.1. Table showing cost of item for boys’ uniform for 11
to 12 years
Boys uniform
Cost per item
£
Boys sportswear
Cost per item
£
Shirt
1.30
T-shirt
0.80
Blazer
8.00
Shorts
1.30
Jumper
1.70
Jumper
1.70
Shorts
2.20
Tracksuit
3.00
Trousers
2.80
Socks (pair of 2)
0.50
Socks (pair of 2)
0.50
75. Our product will vary slightly based on age. This summary
above is based on the highest age of 11 to 12 years. Our product
cost will decrease by 15p for every reduced age bracket, for
example, a girls’ blouse at 7 to 8 years will cost £1.00. By
providing an outline of our product cost per item, it allows our
customers to decide on the specific quantity of the product.
We are aware there will be a peak of purchase in the months of
July and August before the new school year begins. However,
this will not impact our production because our research has
indicated school uniform items will constantly be required
throughout the year due to damage and lost property.
****Uniformed aim to reach an estimated 15% growth per year,
with a minimum of 1,000 orders of our items within the first
year, ensuring our reputable brand expansion as well. We have
set a goal to reach over 6,000 orders of our items after 5 years.
Place
Our manufacturing and production will occur in London with
Appareltasker. This manufacturing company will receive the
second-hand clothing from UK Used Clothing Ltd and will
produce our uniforms utilizing these materials. Our
manufacturer is located in Epsom Street, London. London is a
suitable location for our business to grow due to its high
population and high percentage of low-income households. This
will be the only physical workplace that will be required
because all manufactured clothing will be shipped directly to
our customers. As our company grows and evolves, it is
predicted our business may expand into other areas outside of
London, dependent on our rate of success.
The sole location for contacting our company will be through
our website. This will provide all contact details, such as our
telephone number and email, enabling schools to contact us
76. when needed. It is expected within especially the first year of
operation we will be the ones reaching out to our potential
customers.
Promotion
Uniformed will use their promotional efforts through creating
an online presence to gain brand awareness. By using social
media applications, such as Instagram and Facebook, this will
enable the company to create a familiar image. This direct
marketing enables the company to connect with potential
customers. The exponential growth of social media and
networking over recent years highlights the significance of this
strategy for technological adaptation and future growth (Smith,
2019).
People
Due to the limited direct contact with our customers, our digital
customer service will provide an optimum high-quality
experience, ensuring our customer loyalty. Providing an
effective online customer service will create a desirable
reputation for the company.
Process
Acquiring our second-hand clothing from UK Used Clothing
Ltd, ensuring the rapid production of our uniforms via
Appareltasker, and transporting our products to our customers
demonstrates the importance of an efficient supply chain. We
understand the importance of minimising this time period to
ensure our customers’ satisfaction, while abiding by our
environmental sustainability policies.
Physical Evidence
We appreciate our customers are taking a risk of uncertainty in
regard to our product, as there is no evidence until the product
has been delivered. However, one strategy that will resolve this
issue is meeting with potential clients before purchase and
77. presenting them with samples of our uniform items. This
reassures customers the expected quality they will receive if
they choose to purchase. This strategy will most likely be
implemented for our first initial customers, until we gain a
reliable reputation.
6.Operations Strategy
Location
Uniformed does not have any business property, enabling the
company advantageous flexibility and choice. This may change
as the company expands, where we may purchase a shop
location, but currently is unavailable due to the lack of
resources. It may be more beneficial to gain a location once the
funds are achieved so prospective customers visually inspect the
clothing before purchase, reducing consumer purchase
uncertainty (Littler and Melanthiou, 2006). Additionally, the
disadvantage of not having a specific location means customers
will have an increased wait time per order. Whereas, a shop
could hold products immediately ready for sale, resulting in no
customer wait time for low quantity orders.
Manufacturer facilities
All second-hand clothing materials will be purchased from UK
Used Clothing Ltd and will be transported directly to
Appareltasker to be manufactured into our school uniforms.
They will produce the clothing within 4 weeks. Once orders
have been produced, our van will collect those orders and
transport them to the customer. Most customers will need to be
in a close proximity within the M25. This ensures our customers
are a close distance to our manufacturer, which will reduce our
pollution damage via transportation. It is more beneficial to
outsource our production processes due to the viable complexity
and large variety of machinery required to produce these
uniforms. Additionally, outsourcing to a large established
manufacturer prevents restrictions on our production capacity.
78. Procurement
Appareltasker has been chosen as our manufacturer due to their
principled environmental policies. These policies coincide with
our environmental standards, ensuring zero waste production,
while reducing environmental pollution. We will enter a short-
term contractual agreement of 1 year with Appareltasker. This
will ensure us supplier-dependability, while still allowing
flexibility due to the short time arrangement. If this
arrangement is undesirable after the contract has expired, there
are various other suitable options for our production.
Management-information systems and Information Technology
The website will rely on utilizing information technology. Our
website will be created by our employees with vast knowledge
on design and IT. This website will be simple and
straightforward, with the primary purpose of providing
customers contact information to the management team.
Weekly sales will be recorded on a spreadsheet through
Microsoft Excel, which will be evaluated. Additionally, annual
trends will be documented, allowing any seasonal trends to be
classified. These documents will provide management with the
necessary knowledge to certify enterprise success, while
determining if company modification is required.
Legal and Industrial Requirements
Our company is new in the market and will follow all the
legal and industrial laws as stipulated by the UK Business Acts
to avoid any penalties. The company name will first be
registered so as to acquire the certificate of incorporation, the
new company’s memorandum and articles. Registration will also
ensure our recognition by the tax body. As the business
79. progresses, we will be keeping our structural registration up to
date. By doing so, the company will be able to renew its work
permits, and to submit annual tax returns as required by the
national laws. The company will not only submit tax returns on
goods sold but also ensure that all the workers tax returns are
up to date. Also, under the business structure, we will ensure
that we design our own trademarks and pledge to renew them
after every 10 years as required by the law.
We are strictly committed to ensure that the company works
within its legal boundaries and that it curbs any risks pertaining
legal complications as regards employment strategies. The
company will bear all the legal employers liability concerning
the employees’ health and wellness. “Your employer will be
responsible for your health and safety while you are at work”
(Barret, 2016) . Although we, the stakeholders, are going to the
founding employees of this company, insurance strategies will
be laid down as demanded by the employee acts.
We will also be responsible for protecting all our employees
and customers’ data. As required by the advertisement laws in
the UK, the company while designing its marketing and
recruiting strategies will incorporate the issue of gender, race
and social class diversities. “Employment discrimination
statutes prohibit employers from discriminating against
individuals on the basis of protected characteristics like race or
sex” (Chase, 2020). Our company will find ways of reaching all
social classes in a friendly manner. Our social media
advertisement, for instance, will involve both gender and all
races present in London. As a data protection strategy, this
company will create and officiate a private website, accessible
only to key stakeholders. We are doing this in the spirit of
protecting our own products from competitors, protecting our
customers addresses and protecting what is called the
company’s secret. This will be done through enhancing our data
monitoring and even the physical surveillance. We will install
CCTV cameras and keep all recordings on the website. No
handwritten documents shall be made. The data protection rule
80. in the UK requires that one must ensure customers information
is kept secure, accurate and up to date (Ziegler, 2019). Any
customer or employee who shares information with us will
therefore be able to retrieve them anytime with the help of our
management. As the company grows, we will create and run our
own private cloud for storage purposes, bearing in mind the
various data security threats witnessed in public cloud
platforms.
Financing and Financial Forecasts
In year zero, all costs will be from our pockets as the
proprietors of the business. We will finance the land
acquisition, equipment purchase, installation and the plant
commissioning costs. For the sake of this project, we will
assume that all these acquisitions have been settled and the
plant is ready to go. We will not therefore include these costs in
our sensitivity analysis. Financing as per this paper therefore
commences at year one, where the only costs to be financed are:
costs of raw materials and the working capital. The raw
materials are priced as illustrated in the market analysis section
above. The company will be accepting mixtures of both adult
and children clothing creams provided they pass our quality
tests. This mix goes for averagely £2 per kilogram.
Comment by Eleanor Marshall: rent of location premises
and equipment costs? highly unlikely we would be able to
outright purchase these
At this stage we will assume that every buyer will be purchasing
the entire uniform (both class-wear and games skirt). This will
roughly require about 5 kg of raw materials. We are targeting a
total of 1680 pupils from the 30 schools in London but only
1000 orders are projected for the first year. This will require
about 5000 kg of the raw materials costing us £10,000. We will
keep 20% of this capital for paying for all utility requirements
in the company. At this stage, we are our own employees, and in
order to grow the company, we will not consider monthly
81. salaries. All the profits will be channeled back to the company’s
growth. Another mandatory cost will be tax. We will assume a
tax rate of 30% per taxation year. Comment by Eleanor
Marshall: Why are we assuming a taxation rate of 30% per
taxation year, when corporation tax is currently 19%
We will then carry out a sensitivity analysis to forecast for
profits, expenses and the break even production point.
Assuming that the number of female students equalizes the
number of female students, and with the projection 1000 orders
for the first year, 500 male and 500 female orders will be made.
From the costs displayed in the tables above, a female student's
full purchase costs £28.90 while that of a male student = £23.8.
This averages to £ (23.80 + 28.90) = £57.20 for both genders.
The orders are projected to increase by 15% yearly for the first
5 years. Comment by Eleanor Marshall: ?
The sensitivity analysis based on the production alone shows
a steadily rising profit line from year 1 to 4. We cannot at this
time determine the break-even production point because we
have not estimated the fixed capital costs. Based on production
expenditure alone, excluding fixed capital costs, depreciations
and salaries, every production year provides profit that
surpasses the year’s capital inputs as shown in the figures
below. Cumulatively, at the end of year 4, the company has
made a profit of £50,158.45. This positive trend makes it
arguable that the payback period will easily be achieved within
the first 10 years of operation. This is so owing to the fact that
the company is a small entity whose fixed capital costs will not
be very high. Payback period’s achievement will further be
facilitated by the existing depreciation laws. Comment by
Eleanor Marshall: surely fixed capital costs need estimating?
every project previously has done that and created a breakeven
analysis
82. References
Barret, B. a. D. L., 2016. Is the Employers' Liability
(Compulsory Insurance) Act 1969 Fit for Purpose?. Industrial
Law Journal.
Chase, M. a. M., 2020. Compare This: How Employers Use
Comparator Evidence to Defeat Employment Discrimination
Claims.
Ziegler, S. E. E. a. A. M. P. H., 2019. The Impact of the
European General Data Protection Regulation (GDPR) on future
data business models: Toward a new paradigm and business
opportunities. Digital Business Models.
10. Risk Assessment
10.1 Critical Success Factors
· Choosing the best pricing model that allows the company to
benefit from the low cost of raw materials, and thus remain
competitive in the market
· Picking the best location to operate from so as to secure
maximum sales potential and reach as many customer bases as
possible
· Maintain good relationships with suppliers
· Good links with schools, as the largest customer base
10.2 PESTLE Analysis of Risks
83. Table showing the PESTLE risks likelihood of occurrence and
impact:
PESTLE Risk
Occurrence Likelihood (1=very low - 5=very high)
Impact (1=very low - 5=very high)
Political
2
3
Economic
2
4
Social
5
3
Technological
4
2
Legal
3
2
Environmental
1
5
Scatter graph, showing the spread of the data in the table above:
10.3 Further Risk Factors
· Strategic Risk
· When considering strategic risk, an important theoretical
concept is that of Porter’s 5 forces.
· Mitigation-
84. 11. Beyond Start-up
11.1 Short term development
After the first three years, we intend to expand to other
locations particularly around the southeast. A new location
should be aimed to be opened every few years using the
revenue from the business, to expand the customer base. These
new location ventures can be financed through a multitude of
different ways, the main aim is that this is through the profits
which can be reinvested.
11.2 Long term development
Ansoff’s Matrix
Existing Product
New Product
Existing
Market
Market
Penetration
Product
Development
New
Market
Market
Development
85. Diversification
· Market Penetration
· Expansion into new locations
· Boost popularity with new marketing strategy
· Market Development
· Product Development
· Diversification
Appendices
86. Reference List
Battersby, M. (2019). School uniform costs are on the rise and
pupils’ parents are forced to turn to second-hand clothes. Inews.
(Online). Available at: https://inews.co.uk/inews-
lifestyle/money/school-uniform-increasing-costs-second-hand-
495100 (Accessed 20 March 2020).
Gov. UK. (2020). Children in low income families: local area
statistics 2014/15 to 2018/19. Gov, UK. (Online). Available at:
87. https://www.gov.uk/government/publications/children-in-low-
income-families-local-area-statistics-201415-to-
201819/children-in-low-income-families-local-area-statistics-
201415-to-201819 (Accessed 20 March 2020).
Shaw, E. H. (2012). Marketing strategy: From the origin of the
concept to the development of a conceptual framework. Journal
of Historical Research in Marketing.
Ansoff, H. I. (1957). Strategies for Diversification. Harvard
Business Review.
Jobber, D. (2013). Principles and practice of marketing.
London: McGraw Hill.
Porter, M.E. (1980). Competitive Strategy. Free Press, New
York.
Ivy, J. (2008). A New Higher Education Marketing Mix: the 7Ps
for MBE Marketing. International Journal of Educational
Management, 22(4), 288-299.
Smith, K. (2019). The importance of social media in business.
LYFE Marketing. [Online]. Available at:
https://www.lyfemarketing.com/blog/importance-social-media-
business/ (Accessed 16 April 2020).
Littler, D. and Melanthiou, D. (2006). Consumer perceptions of
risk and uncertainty and the implications for behaviour towards
innovative retail services: The case of Internet Banking. Journal
of Retailing and Customer Services.