Statistical data

# Statistical data - nominal scale. We measured in the...

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Tabular Table Wage Range Women Men Average Age Average Years of Education Total Employee s \$0 - \$10,000 1 0 48 12 1 \$10,000 - \$20,000 20 12 36 12 32 \$20,000 - \$30,000 12 11 38 12 23 \$30,000 - \$40,000 12 12 40 13 24 \$40,000 - \$50,000 0 6 46 13 6 \$50,000 - \$60,000 1 5 43 15 6 \$60,000 - \$70,000 0 4 43 15 4 \$70,000 - \$80,000 0 1 33 15 1 \$80,000 - and up 1 2 41 17 3 This data from the Wages and Wage Earners data for 2005 represents the number of women, men, average age, average years of education, and the number of employees making the specified wages. This is one of the most effective ways to simplify the data for men and women for the amount of money one was getting paid in 2005. The table also compares the age and education necessary to fall in a certain wage range on average

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Based on our skew value the best measures of central tendency and dispersion of our data is the
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Unformatted text preview: nominal scale. We measured in the nominal scale to categorize all the information according to specific subjects, and then to find the average ages of the employees according to how much he or she made in 2005. During the problem definition, the team explored what factors continue to affect the potential earning power of women versus men, Gender, Race, etc. Furthermore, their research hypothesis explains how the research aims to demonstrate that there is still an inconsistency in wages between female and male workers, gender, race, etc. regardless of the occupation, education, work experiences, ethnicity, or industry....
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## This note was uploaded on 04/16/2011 for the course BUS 415 taught by Professor Bobsmith during the Spring '10 term at University of Phoenix.

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Statistical data - nominal scale. We measured in the...

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