Stats Unit 1 IP Lorraine Huff - RUNNING HEAD: UNIT 1...

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RUNNING HEAD: UNIT 1 INDIVIDUAL PROJECT Unit 1 Individual Project QMB350-1001B-10: Statistical Analysis By Lorraine M. Huff AIU Online February 14, 2010
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Introduction When analyzing data, it is imperative that the collection of data is accurate and that the way that the data is analyzed result in correct outcomes. If data is incorrectly analyzed, results will be inconclusive and will not display the necessary information that the data collection was intended to give. There are many ways to collect data. In the present situation, the discussion will follow a survey conducted on the population of the American Intellectual Union (AIU). According to AIU, “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.”
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Data Selection There are nine possible sections to analyze in the data collected by AIU to analyze job satisfaction within employees; gender, age, department, position, tenure, overall job satisfaction, intrinsic job satisfaction, extrinsic job satisfaction, and benefits. The two discussed here are age and intrinsic job satisfaction. Mead, median, and mode will also be included in the analysis along with the use of two measures of variability; standard deviation and variance. Section 1: Position data analysis (Age).
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Stats Unit 1 IP Lorraine Huff - RUNNING HEAD: UNIT 1...

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