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Analyzing Data

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The data set for our course is a sample of a survey conducted on the population of the American Inmate Union (AIU). It is available via the attachment: DataSet with DataSet Key, which contains the following nine sections of data that will be used throughout our course:

Gender
Age
Type of Offense
Prison Facility
Length of Sentence
Criminal Justice System
Legal Services- Satisfaction with the actual performance of attorney
Sentence satisfaction-
Incarceration Services - Health, food, vocational training, etc.

American Inmates Union (AIU) has assembled a team of researchers in the United States and around the world to study inmates' satisfaction with the criminal justice system. 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. Inmates' Satisfaction is important to all criminal justice organizations large and small and understanding inmates' concerns provides criminal justice management with insights into areas that can be modified and used to strengthen the criminal justice system.

Examine two of the nine sections of data - one section of qualitative data (Gender, Position, etc.) and one section of quantitative data (Legal Services Satisfaction, Sentence Satisfaction, etc.), 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, and 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.

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.

Explain why charts/graphs are important in conveying information in a visual format and why standard deviation and variation are important.

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