q_busn311_u1ip_template
Unit 1 – Fundamentals of Statistics
Assignment Type: Individual Project
Deliverable Length: 3 pages
In each of the assignments in this course, you will be dealing with the following scenario:
American Intellectual Union (AIU) has assembled a team of researchers in the
United States and around the world to study
job
satisfaction. Congratulations,
you have been selected to participate in this massive global undertaking.
The study will require that you examine data, analyze the results, and share
the results with groups of other researchers. Job satisfaction is important to
companies large and small, and understanding it provides managers with insights
into human behavior that can be used to strengthen the company’s bottom
line.
The data set for the study is a sample of a survey conducted on the
population of the American Intellectual Union (AIU). It is available via the
following link: Excel 2007 DataSet with DataSet Key which contains the
following nine sections of data that will be used throughout our course:
Gender
Age
Department
Position
Tenure
Overall Job Satisfaction
Intrinsic Job Satisfaction—Satisfaction with the actual performance of the
job
Extrinsic Job Satisfaction—external to the job, for example, office
location, your work colleagues, your own office (cubicle/hard walled office,
etc),
Benefits—Health insurance, pension plan, vacation, sick days, etc.
In the first assignment you are to complete the
following:
You will need to examine two of the nine sections of data:
one section of qualitative data (choose either Gender or Position)
one section of quantitative data (choose either Intrinsic or Extrinsic)
Each section should include all data points listed in the column for the
variable. The requirements include:
Identify the data you selected.
Explain why the data was selected.
Explain what was learned by examining these sets of data.
Your analysis should include using Microsoft Excel to obtain information
about the data through the use of three measures of central tendency (mean,
median, mode).
Your analysis should also include the use of two measures of variability
(standard deviation and variance). Some measures are appropriate for qualitative
data, and some are appropriate for quantitative data.
If a measure is not applicable, then explain why.
You will have to also provide one chart/graph for each of the results of the
two processed sections of data (2 total), such as a pie or bar chart or a
histogram. (A table is not a chart/graph.) Ensure that you label the chart/graph
clearly.
You will then need to discuss what you additionally learned from the results
of this process.
Explain why charts/graphs are important in conveying information in a visual
format and why standard deviation and variation are important.
Running head: BUSN311 – Quantitative Methods and Analysis
4
Unit 1 – Fundamentals of Statistics
Type your Name Here
American InterContinental University
Abstract
This is a single paragraph, no indentation is required. The next page will be an abstract; “a brief, comprehensive summary of the contents of the article; it allows the readers to survey the contents of an article quickly” (Publication Manual, 2010). The length of this abstract should be 35-50 words (2-3 sentences). NOTE: the abstract must be on page 2 and the body of the paper will begin on page 3.
Introduction
Remember to always indent the first line of a paragraph (use the tab key). The introduction should be short (2-3 sentences). The margins, font size, spacing, and font type (italics or plain) are set in APA format. While you may change the names of the headings and subheadings, do not change the font or style of font.
Chosen Variables
Introduce the variables that you chose to analyze and why you made that choice. Please remember you are limited to the choice of Gender or Position for your qualitative variable, and Intrinsic or Extrinsic for your quantitative variable.
Difference in variable types
Explain In your own words the difference between qualitative and quantitative variables. Which descriptive statistics are appropriate for qualitative variables and which are appropriate for quantitative variables and why?
Descriptive statistics: Qualitative variable
Copy/Paste appropriate descriptive statistics from Excel here for your qualitative variable
Explanation of descriptive statistics
Explain what these descriptive statistics represent or what recommendations you would make to AIU. What information do you now have as a result of processing this data?
Descriptive statistics: Quantitative variable
Copy/ Paste appropriate descriptive statistics from Excel for your quantitative variable.
Explanation of descriptive statistics
Explain what these descriptive statistics represent or what recommendations you would make to AIU. What information do you now have as a result of processing this data?
Chart/Graph for qualitative variable
INSERT CHART here for qualitative variable. Be sure that you have included labels in the chart.
Description of Chart
Insert your written description of the chart pasted above
Chart/Graph for quantitative variable
INSERT CHART here for quantitative variable. Be sure that you have included labels in the chart.
Description of Chart
Insert your written description of the chart pasted above
Explanation of standard deviation and variance
Explain the importance of standard deviation and variance, what they measure and why they are needed.
Importance of charts and graphs
Explain the importance of charts and graphs in conveying information.
Conclusion
Add some concluding remarks-can be a sentence or two.
References
NOTE: The reference list starts on a new page after your conclusion.
For help with formatting citations and references using rules outlined in the APA Manual’s 6th Edition, please check out the AIU APA guide located under the Interactive Learning section on the left side of the course.
Examples:
American Psychological Association [APA]. (2010) Publication manual of the American
Psychological association (6th ed.). Washington, DC: Author.
Association of Legal Writing Directors (ALWD) (2005). ALWD citation manual: A professional
system of citation (3rd ed.). New York: Aspen Publishers.