Descriptive Statistics Final Paper Wages and Earners

4287 Words Jan 19th, 2011 18 Pages
Descriptive Statistics Paper
Tomika Coleman, Antoinette Deleon, Scott Koerning, Alex Lopez
RES?341
December 20, 2010
Elaine Raby

Descriptive Statistics Paper
The wages and wage earners data reports experienced a disparity between men and women. There are multiple reasons why wage disparities exist between men and women. The research conducted by the team will determine why these disparities exist. This paper originates on information of data coming together between both groups. The central tendency, dispersion, and skew data will be examined. In order for the team to calculate the measure of central tendency we will measure an adequate sample or population that will represent a true mean. The measure of central tendency will
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In the subsequent interval, only one woman was present out of 6 workers, representing a mere 17%. The intervals 60 to 70 and 70 to 80 thousand dollars did not have the participation of women, and finally, at the highest interval (above 80 thousand dollars per year) only one of the 3 workers was a woman.
Figure 4: Chart depicting the percentage of female workers in annual wage ranges.
The team has so far collected samples for data to obtain a purpose for this research. We have agreed upon a problem definition based on the answers obtained from the problem definition. Formulated possible outcomes that will likely occur based on problem definitions. Descriptive statistics are tools used to avoid reporting misleading data based on the results of samples collected from data. In order for the team to avoid reporting misleading data, the analysis of this research will include using the following tools, measurements of central tendency, dispersion, and skewness of data. These tools will help determine if the data taken from the wage and wages earned data set minimize bias and help the teams form a solid conclusion of the samples taken from the data set. Graphical displays, the histogram, and using frequency tools are used to measure central tendency, skew-ness of data values and dispersion of data.
Central tendency and dispersion
After
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