case0102: Sex Discrimination in Employment

In Sleuth3: Data Sets from Ramsey and Schafer's "Statistical Sleuth (3rd Ed)"

Sex Discrimination in Employment

Description

The data are the beginning salaries for all 32 male and all 61 female skilled, entry–level clerical employees hired by a bank between 1969 and 1977.

Usage

case0102

Format

A data frame with 93 observations on the following 2 variables.

Salary

starting salaries (in US\$)

Sex

sex of the clerical employee, with levels "Female" and "Male"

Source

Ramsey, F.L. and Schafer, D.W. (2013). The Statistical Sleuth: A Course in Methods of Data Analysis (3rd ed), Cengage Learning.

References

Roberts, H.V. (1979). Harris Trust and Savings Bank: An Analysis of Employee Compensation, Report 7946, Center for Mathematical Studies in Business and Economics, University of Chicago Graduate School of Business.

See Also

case1202

Examples

attach(case0102)
str(case0102)   

boxplot(Salary ~ Sex, 
  ylab= "Starting Salary (U.S. Dollars)", 
  names=c("61 Females","32 Males"),
  main= "Harris Bank Entry Level Clerical Workers, 1969-1971")

hist(Salary[Sex=="Female"]) 
dev.new()
hist(Salary[Sex=="Male"])

t.test(Salary ~ Sex, var.equal=TRUE) # Equal var. version; 2-sided by default  
t.test(Salary ~ Sex, var.equal=TRUE, 
  alternative = "less")  # 1-sided; that group 1 (females) mean is less 
  
detach(case0102)  

Sleuth3 documentation built on May 29, 2024, 2:56 a.m.