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.
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
About Your Signature Assignment.docxAbout Your Signature Assig.docx
1. About Your Signature Assignment.docx
About Your Signature Assignment – Due Monday, 20-November
This signature assignment is designed to align with specific
program student learning outcome(s) in your program. Program
Student Learning Outcomes are broad statements that describe
what students should know and be able to do upon completion
of their degree. The signature assignments might be graded with
an automated rubric that allows the University to collect data
that can be aggregated across a location or college/school and
used for program improvements.
Purpose of Assignment
The purpose of this assignment is for students to synthesize the
concepts learned throughout the course. This assignment will
provide students an opportunity to build critical thinking skills,
develop businesses and organizations, and solve problems
requiring data by compiling all pertinent information into one
report.
Assignment Steps
Resources: Microsoft Excel®, Signature Assignment Databases,
Signature Assignment Options, Part 3: Inferential Statistics
Scenario: Upon successful completion of the MBA program, say
you work in the analytics department for a consulting company.
Your assignment is to analyze one of the following databases:
· Manufacturing
· Hospital
· Consumer Food
· Financial
Select one of the databases based on the information in the
Signature Assignment Options.
Provide a 1,600-word detailed, statistical report including the
following:
· Explain the context of the case
· Provide a research foundation for the topic
2. · Present graphs
· Explain outliers
· Prepare calculations
· Conduct hypotheses tests
· Discuss inferences you have made from the results
This assignment is broken down into four parts:
· Part 1 - Preliminary Analysis
· Part 2 - Examination of Descriptive Statistics
· Part 3 - Examination of Inferential Statistics
· Part 4 - Conclusion/Recommendations
Part 1 - Preliminary Analysis (3-4 paragraphs)
Generally, as a statistics consultant, you will be given a
problem and data. At times, you may have to gather additional
data. For this assignment, assume all the data is already
gathered for you.
State the objective:
· What are the questions you are trying to address?
Describe the population in the study clearly and in sufficient
detail:
· What is the sample?
Discuss the types of data and variables:
· Are the data quantitative or qualitative?
· What are levels of measurement for the data?
Part 2 - Descriptive Statistics (3-4 paragraphs)
Examine the given data.
Present the descriptive statistics (mean, median, mode, range,
standard deviation, variance, CV, and five-number summary).
Identify any outliers in the data.
Present any graphs or charts you think are appropriate for the
data.
Note: Ideally, we want to assess the conditions of normality too.
However, for the purpose of this exercise, assume data is drawn
from normal populations.
Part 3 - Inferential Statistics (2-3 paragraphs)
Use the Part 3: Inferential Statistics document.
· Create (formulate) hypotheses
3. · Run formal hypothesis tests
· Make decisions. Your decisions should be stated in non-
technical terms.
Hint: A final conclusion saying "reject the null hypothesis" by
itself without explanation is basically worthless to those who
hired you. Similarly, stating the conclusion is false or rejected
is not sufficient.
Part 4 - Conclusion and Recommendations (1-2 paragraphs)
Include the following:
· What are your conclusions?
· What do you infer from the statistical analysis?
· State the interpretations in non-technical terms. What
information might lead to a different conclusion?
· Are there any variables missing?
· What additional information would be valuable to help draw a
more certain conclusion?
Format your assignment consistent with APA format.
Click the Assignment Files tab to submit your assignment.
QNT561_r9_Part_3_Inferential_Statistics_Week_6.doc
Title
ABC/123 Version X
1
Part 3 Inferential Statistics
QNT/561 Version 9
2
Part 3: Inferential Statistics Option 1: Manufacturing Database
1. The National Association of Manufacturers (NAM) contracts
with your consulting company to determine the estimate of
mean number of production workers. Construct a 95%
confidence interval for the population mean number of
production workers. What is the point estimate? How much is
4. the margin of error in the estimate?
2. Suppose the average number of employees per industry group
in the manufacturing database is believed to be less than 150
(1000s). Test this belief as the alternative hypothesis by using
the 140 SIC Code industries given in the database as the
sample. Let α = .10. Assume that the number of employees per
industry group are normally distributed in the population.
3. You are also required to determine whether there is a
significant difference between mean Value Added by the
Manufacturer and the mean Cost of Materials in manufacturing
using alpha of 0.01.
4. You are requested to determine whether there is a
significantly greater variance among values of Cost of Materials
than of End-of-Year Inventories.
Option 2: Hospital Database
1. As a consultant, you need to use the Hospital database and
construct a 90% confidence interval to estimate the average
census for hospitals. Change the level of confidence to 99%.
What happened to the interval? Did the point estimate change?
2. Determine the sample proportion of the Hospital database
under the variable “service” that are “general medical”
(category 1). From this statistic, construct a 95% confidence
interval to estimate the population proportion of hospitals that
are “general medical.” What is the point estimate? How much
error is there in the interval?
3. Suppose you want to “prove” that the average hospital in the
United States averages more than 700 births per year. Use the
hospital database as your sample and test this hypothesis. Let
alpha be 0.01.
4. On average, do hospitals in the United States employ fewer
5. than 900 personnel? Use the hospital database as your sample
and an alpha of 0.10 to test this figure as the alternative
hypothesis. Assume that the number of births and number of
employees in the hospitals are normally distributed in the
population.
Option 3: Consumer Food
1. Suppose you want to test to determine if the average annual
food spending for a household in the Midwest region of the U.S.
is more than $8,000. Use the Midwest region data and a 1%
level of significance to test this hypothesis. Assume that annual
food spending is normally distributed in the population.
2. Test to determine if there is a significant difference between
households in a metro area and households outside metro areas
in annual food spending. Let α = 0.01.
3. The Consumer Food database contains data on Annual Food
Spending, Annual Household Income, and Non-Mortgage
Household Debt broken down by Region and Location. Using
Region as an independent variable with four classification
levels (four regions of the U.S.), perform three different one-
way ANOVA's—one for each of the three dependent variables
(Annual Food Spending, Annual Household Income, Non-
Mortgage Household Debt). Did you find any significant
differences by region?
Option 4: Financial Database
1. Use this database as a sample and estimate the earnings per
share for all corporations from these data. Select several levels
of confidence and compare the results.
2. Are the average earnings per share for companies in the stock
market less than $2.50? Use the sample of companies
represented by this database to test that hypothesis. Let α = .05.
15. opportunity to build critical thinking skills, develop businesses
and organizations, and solve problems that require
data.Resources Required
· Microsoft Excel®
· Signature Assignment Databases
· Signature Assignment Options
· Part 3: Inferential StatisticsGrading Guide
Content
Met
Partially Met
Not Met
Comments:
Scenario: Upon successful completion of the MBA program, say
you work in the analytics department for a consulting company.
Your assignment is to analyze ONE of the following databases:
· Manufacturing
· Hospital
· Consumer Food
· Financial
Select one of the databases based on the information in the
Signature Assignment Options.
16. Provide a 1,600-word detailed, statistical report including the
following:
· Explain the context of the case
· Provide a research foundation for the topic
· Present graphs
· Explain outliers
· Prepare calculations
· Conduct hypotheses tests
· Discuss inferences you have made from the results
This assignment is broken down into four parts:
· Part 1 - Preliminary Analysis
· Part 2 - Examination of Descriptive Statistics
· Part 3 - Examination of Inferential Statistics
· Part 4 - Conclusion/Recommendations
Part 1 – Preliminary Analysis (3 – 4 paragraphs)
Generally, as a statistics consultant, you will be given a
problem and data. At times, you may have to gather additional
data. For this assignment, assume all the data is already
gathered for you.
· State the objective.
· What are the questions you are trying to address?
· Clearly and in sufficient detail, describe the population in the
study.
· What is the sample?
· Discuss the types of data and variables. Are the data
quantitative or qualitative?
· What are levels of measurement for the data?
Part 2 – Descriptive Statistics (3 – 4 paragraphs)
· Examine the given data.
· Present the descriptive statistics (mean, median, mode, range,
standard deviation, variance, CV, and five-number summary).
17. · Identify any outliers in the data.
· Present any graphs or charts you think are appropriate for the
data.
Note: Ideally, we want to assess the conditions of normality too.
However, for the purpose of this exercise, assume data is drawn
from normal populations.
Part 3 – Inferential Statistics (2 – 3 paragraphs)
Use the Part 3: Inferential Statistics document.
· Create (formulate) hypotheses
· Run formal hypothesis tests
· Make decisions. Your decisions should be stated in non-
technical terms.
Hint: A final conclusion saying “reject the null hypothesis” by
itself without explanation is basically worthless to those who
hired you. Similarly, stating the conclusion is false or rejected
is not sufficient.
Part 4 – Conclusion and Recommendations (1 – 2 paragraphs)
· What are your conclusions?
· What do you infer from the statistical analysis?
· State the interpretations in non-technical terms. What
information might lead to a different conclusion?
· Are there any variables missing?
· What additional information would be valuable to help draw a
more certain conclusion?
Total Available
Total Earned
18. 13
#/13
Writing Guidelines
Met
Partially Met
Not Met
Comments:
The paper—including tables and graphs, headings, title page,
and reference page—is consistent with APA formatting
guidelines and meets course-level requirements.
Intellectual property is recognized with in-text citations and a
reference page.
Paragraph and sentence transitions are present, logical, and
maintain the flow throughout the paper.
Sentences are complete, clear, and concise.
Rules of grammar and usage are followed including spelling and
punctuation.
19. Total Available
Total Earned
3
#/3
Assignment Total
#
16
#/16
Additional comments:
HSM310 Application Paper
Your first paper, due in Week 4, and 500 to 1,000 words
(approximately 2 to 4 pages), and in APA formatting, addresses
the following: “What Makes a Top 100 Hospital.”
Visit the hospital’s website. Profile the hospital or hospital
system of your choice from the top 100 list. Identify the
population served, ownership, types of services provided;
indicate affiliations with managed care organizations, payer
sources. Address other characteristics consistent with course
objectives (see below).
20. You may select a hospital in the area where you live, or you
may pick another organization. Think about this assignment as
you read this week's chapter and lecture notes, participate in the
discussions. During Week 3, pick the hospital you will profile
so you'll have time to collect your information and prepare your
paper for submission in Week 4.
Hospital Characteristics
Some questions to consider as you prepare your paper:
- Who owns the hospital?
- What is the history of the organization?
- What are the stated mission and vision of the hospital?
- Is this a for-profit, not-for-profit, or governmental hospital? Is
it church-affiliated?
- What type of services do they provide?
- Are there any ratings on the hospital or services? (Blog?)
- What are the primary forms of funding for the hospital?
- Is the hospital part of a network or a health system?
- What managed care affiliations does the hospital have?
- What is the composition of the Board of Directors, and how
are they appointed?
- How many Medical Staff Members are there, and what types
of doctors are represented?
- Does the hospital have a foundation?
- What community education does it offer?
- Is the hospital well known for any special service or program?
- What types of jobs are currently available at the hospital?
What are some of the most frequent openings?
- What are the hospital's strategic planning objectives for the
year ahead?
Do not feel that you need to answer all of these questions for
the hospital which you are studying, but using as many of these
21. questions as possible will help you to prepare a very good
profile. You will also be applying key course concepts in the
process of writing this paper. Good luck, and enjoy learning
more about a "real world" hospital.