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To analyze job satisfaction among men and women

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The data set for our course is available via the following links: DataSet and DataSet Key contain the following eight sections of data that will be used throughout our course:

(1) Gender (2) Age (3) Department (4) Position (5) Tenure (6) Overall Job Satisfaction (7) Intrinsic Job Satisfaction - Satisfaction with the actual performance of the job (8) Extrinsic Job Satisfaction- Things external to the job, e.g., office location, your work colleagues, your own office (cubicle/hard walled office, etc), and (9) Benefits - Health insurance, pension plan, vacation, sick days, etc.

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.

You will need to examine two of the eight sections of data, one section of qualitative data and one section of quantitative data, from the provided Unit 1 data set. Each section will include 288 data points. After analyzing your data, it will be necessary to write up a professional report. The requirements include providing the data you selected, discussing why the data was selected and what was learned by examining these sets of data. Your analysis should include using Excel to obtain information about the data through the use of three measures of central tendency (mean, median, mode) and 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 1 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. Finally, you will need to combine all of the items above into one comprehensive report.

Data Set: https://mycampus.aiu-online.com/courses/QMB350/Assignment_Assets/DataSet.xls

Data Key: https://mycampus.aiu-online.com/courses/QMB350/Assignment_Assets/DataSet_Key.xls

Please fill out the following:

1 Brief description of data that was selected for assignment, what sampling method was used to do so, and why.

2. Table of qualitative and quantitative data selected from the survey : (copy and paste here only the data that you used for the assignment (please do not include any data that is not used in your submission)

3. Calculation of Mean, Median, Mode, Standard Deviation and Variance for selected data as applicable: (show formulas, calculations, and explain what these statistical tools show about the data; if these calculations are not relevant for a variable you have chosen, the reason why this is the case should be clearly explained.)

Variable analyzed : _________________ Type of variable: Qualitative/quantitative

Mean:

Median:

Mode:

Standard Deviation:

Variance:

(repeated for second variable)

4. a) Clearly labeled charts/graphs for each variable:

4. b) Explanation of why charts/graphs are important

5. Comprehensive report in Word (this is to be submitted in addition to the material submitted in the template headings above), summarizing findings (using the following headings-a. Introduction; b. The variables selected (data does not need to be repeated here); c. Discussion of findings of data analysis; d. Summary: (general application of the results in the real world); e. definitions of relevant terms

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