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    Funamentals of Statistics

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    The data set for our course is a sample of a survey conducted on the population of the American Intellectual Union (AIU). 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:

    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 nine sections of data, one section of qualitative data (choose either Gender or Position) and one section of quantitative data (choose either Intrinsic or Extrinsic), from the provided data set through the link above. Each section should include all data points listed in the column for the variable. The requirements include identifying 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 Microsoft 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 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. 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:

    An Introduction.
    The data selected.
    Discussion of why you chose the data and what you learned from your process results.
    The measures of central tendency and variability. Copy and paste your output from Excel.
    The charts/graphs.
    Summary of what you learned and why the processes are important.

    I have added the Dataset with Dataset key for IP. Thank you.

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    https://brainmass.com/statistics/quantative-analysis-of-data/funamentals-of-statistics-267586

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    The response addresses the queries posted in 987 words with references.

    // In the given paper, we are going to discuss the role of the measures of central tendency and measures of variability in data analysis. Measures of central tendency included study of mean, median and mode; whereas measures of variability include variance and standard deviation. Here we will discuss how the selected data can be analyzed with the help of these measures: //

    Introduction

    Nature of the data can be described on the basis of two factors: qualitative and quantitative. This nature of data is identified by using measures of variability and measures of central tendency. American Intellectual Union has conducted a research from which the data for this project has been selected. The data represent various features of job satisfaction, which is collected by a survey. The tools, which are used to identify the desired results, are mean, median, mode, variance and standard deviation.

    Data Selection

    Data selection is one of the most important aspects of a research because it directly affects the overall results of the research. We have selected gender and intrinsic for the project. The selection of data is based on qualitative and quantitative nature of the date. Gender is a type of qualitative data whereas intrinsic job satisfaction is a type of quantitative data. Males are represented by 1 and females are represented by 2. The quantitative nature of the data is represented by intrinsic job satisfaction, which is based on a scale of 1 to 7. The major reason behind picking out the data is to ...

    Solution Summary

    The response addresses the queries posted in 987 words with references.

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