GENDER DISCRIMINATION - A STATISTICAL ANALYSIS     1100w

REGRESSION ANALYSIS, STATISTICS, STANDARD DEVIATION

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 regression model, to estimate the effects that various independent variables have upon the dependent variable, salary level. This analysis utilized a data sample consisting of 46 employees and variables relating to each of those employees. These variables include: gender, age, level of education, length of employment, job type, and weekly salary.