Descriptive Statistics Paper2

Descriptive Statistics Paper2 - Running head: DESCRIPTIVE...

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Running head: DESCRIPTIVE STATISTICS PAPER 1 Descriptive Statistics Paper, Part II Research and Evaluation 341 Descriptive Statistics Paper
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DESCRIPTIVE STATISTICS PAPER 2 As Team A continues to examine data and investigate various references, irregularities within the data such as the consistency of different ratios between reservations and the marketing of wages, seem to back the data. From the research problem formulated in week two the team’s hypothesis is that “Caucasian males earn higher wages than Caucasian females who have similar educational backgrounds and years of experience.” The articles researched in week three apply to the research topic because the team previously scrutinized information pertaining to wages and wage earners, both male and female. (Team A, 2011) New statistics show how the gap has decreased, and the Legislation for the Equal Pay Act effective June 11, 1964 helped to legalize equal pay for qualified women who were previously receiving lower wages than men. This act advocated equal pay especially for women who functioned in the same job positions as men. The last 20 years have experienced a movement into higher paid occupations and an increase in women’s labor market- both critical roles for increasing women’s wages relative to men. With changes in family statuses, organizational structures and union memberships, these situations closed the gap and placed women on pay scales equal to men. Heightened economic benefits from knowledge, skills, abilities, and increasing inequality have made the gap wider in pay. (Team A, 2011) This week the team goes forward to discover new revelations in the data, and more discrepancies in wages between females and males. Team A further hypothesizes that in today’s economy it takes both the males and females of the household to stay out of debt and keep up with monthly bills. Dataset, Wages and Wage earners, has fueled Team A in creating and analyzing several graphs. These graphs are focused on creating statistical data, including the measures of central tendency, dispersion, and skew. Based on the skew value of our data and the histogram that followed, Team A discusses the best measures of central tendency and dispersion.
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This note was uploaded on 12/17/2011 for the course BUSINESS RES/341 taught by Professor Oloyede during the Spring '11 term at University of Phoenix.

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Descriptive Statistics Paper2 - Running head: DESCRIPTIVE...

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