1.Use appropriate descriptive statistics to summarize the following data and comment on their underlying distributions. Use cross-classification and contingency tables where useful.
For quantitative data, your presentations should entail an outlier study and results and implication for the analysis that follows.
Comment on shape and skewness of the distribution. For qualitative data, your answer should include the relative frequencies. This applies to each of the following categories:
a.Experience
b.Age
c.Education
d.Salaries at time of study.
2.Develop a 90% confidence interval of “Salary at the time of the study” for gender categories and the total group. Interpret your findings.
3.Using descriptive statistical methods and compare the distributions relating to salaries for men and women at the time of the study.
4.Does the available data support the belief that there is a relationship between theage at the time of hiring and the salary at the time of hiring? Support you answer with appropriate graphic tools and/or descriptive measures.
5.Management recognizes the disparities in the salaries between males and females working for the institution. But management claims that female salaries are catching up to males and that at the time of the study no more than 50 percent of the female employees had incomes below the average NSAL for the company as a whole. Test the validity of the claim and comment on the statement that female salaries are catching up to males.
6.As stated in the project description, management are concerned about the existence of any gender equity issues; and economic exploitation based on age differences. Does your analysis suggest that management should be concerned about being at risk of legal action on these accounts? Comment? Support your conclusions by the appropriate statistics and scatter plots.
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