Gender Discrimination - a Statistical Analysis - 1179 Words

Gender Discrimination: A Statistical Analysis Gender discrimination, or sex discrimination, may be characterized as the unequal treatment of a person based solely on that person s sex. . It is apparent that gender discrimination is pervasive in the modern workplace, however, its presence and effects are often misrepresented and misunderstood. Statistical testing plays an important role in cases where the existence of discrimination is a disputed issue and has been used extensively to compare expected numbers of members of a protected group, to the actual number of members of that protected group that have been involved in a significant employment action. This paper will use statistical testing and analysis, including a multiple†¦show more content†¦In addition to t values, the R-Square and F values are additional ways to measure the overall predictive accuracy of a multiple regression model. R Squared is the proportion of variance in the dependent variable (salary), which can be predicted from the independent variable. F Values and their associated P Values (Sig) are used to determine whether the independent variables reliably predict the dependent variab le. For purposes of this analysis, we will assert that P Values great than 0.05 imply that the independent variable does not show a significant relationship to with the dependent variable, or that that the independent variable does not reliably predict the dependent variable. The initial regression model included all of the independent variables. This model produced the following descriptive statistics: R2 of 0.664, SE of 56.47, F of 15.422 and Sig of 0.00. This indicates that 66.4% of the variance in salary can be predicted from the independent variables. In that the P Value was less than 0.05, we can assume that the independent variables included in the model show a significant relationship with salary. With regard to each of the variables, both gender and age had P Values greater than 0.05 and t values greater than 2.021. These statistics necessitate additional regression models that control for and isolate theseShow MoreRelatedGender Discrimination1008 Words   |  5 Pages Gender-bias within the workplace has existed as long as both males and females have worked together, and even now, it is a prevalent issue in modern society. Discrimination classified as gender-bias is the unequal treatment or employment due to the gender of an individual. W hile U.S. Code Title 42, Chapter 21, 2000e-2 prohibits discrimination based on gender, religion, age, disability, race, and national origin (Cornell), illegal and unfair employment practices still affect many people. DespiteRead MoreCancer Survivors1298 Words   |  6 Pagesdifferences including the cost of treatment, organizational barriers, and lack of transportation. 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