The dataset for our course is a sample of a surveyconducted on the population. It is available via the following link: DataSet with DataSet Key which contains the following nine 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:
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.
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 and one section of quantitative data, from the provided Unit 1 data set. Each section should include all data points. After analyzing your data, it will be necessary to write up a single concise professional report in Word that includes numerical data and graphs. 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 deviationand 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 chartor 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. This report must be completed in Microsoft Word and should contain:
The data selected
Discussion (Why you selected your data and what you learned by examining your selected data set.)
The measures of central tendency and variability. (Copy and paste from your Excel process.)
Summary (what you learned and why the processes are important.)
In qualitative analysis data are classified on the basis of descriptive characteristics or on the basis of attributes like sex, literacy, religion, education , etc., which cannot be measured.
So from the given data set Gender, Age, Department, Position and Tenure are qualitative data.
Quantitative Data is based on such characteristics which are capable of quantitative measurement. Such characteristics can be height, weight, income, expenditure etc.,
So from the given data set Overall Job Satisfaction, Intrinsic Job Satisfaction, …
The solution examines conducted surveys on populations.