Description Usage Format Source References See Also Examples
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.
1 |
A data frame with 93 observations on the following 2 variables.
starting salaries (in US$)
sex of the clerical employee, with levels "Female"
and "Male"
Ramsey, F.L. and Schafer, D.W. (2013). The Statistical Sleuth: A Course in Methods of Data Analysis (3rd ed), Cengage Learning.
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.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | 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)
|
'data.frame': 93 obs. of 2 variables:
$ Salary: int 3900 4020 4290 4380 4380 4380 4380 4380 4440 4500 ...
$ Sex : Factor w/ 2 levels "Female","Male": 1 1 1 1 1 1 1 1 1 1 ...
Two Sample t-test
data: Salary by Sex
t = -6.2926, df = 91, p-value = 1.076e-08
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-1076.2465 -559.7985
sample estimates:
mean in group Female mean in group Male
5138.852 5956.875
Two Sample t-test
data: Salary by Sex
t = -6.2926, df = 91, p-value = 5.378e-09
alternative hypothesis: true difference in means is less than 0
95 percent confidence interval:
-Inf -601.9965
sample estimates:
mean in group Female mean in group Male
5138.852 5956.875
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