Introduction In a quest to determine if there exist a disparity in wages and earnings between men and women examining data for those specific variables are critical. Data collection will assist the research team in determining if there is a substantial difference in the wages and earnings between these two groups of individuals in their respective occupational fields. The data collection may display a number of possible outcomes. One of the possible outcomes from the data may show on average men do earn considerably more than women. Another outcome may show on average there are no substantial disparities in earnings and wages between men and women. Earlier research shows that there were factors that contribute to wage disparities such as age, experience, education, and job location. Although those factors are important to research so are the data that analyzes average wages and earnings of men and women. According to Orris, ‘measures of central tendency are the methods we use to summarize data by trying to find one number that best represents all the numbers in a sample or population. There are three primary measures of central tendency: the mode, the median, and the mean,’(page 12). The mode is the most frequently occurring data value. It may be similar to the mean and median, if data values near the center of the sorted array tend to occur often. But it may also be quite different from the mean and median. The median is especially useful when there are extreme values, the median lacks some of the mean’s mathematical properties. And the arithmetic mean is the ‘average’, the mean is affected by every sample item, Doane and Seward, (page 119). The three measurements of dispersion connected with the mean are range, variance and the standard deviation. The range refers to the extreme values in a set of observations, and the range has two set, highest to the