case1202: Sex discrimination in Employment

Description Usage Format Source References See Also Examples

Description

Data on employees from one job category (skilled, entry–level clerical) of a bank that was sued for sex discrimination. The data are on 32 male and 61 female employees, hired between 1965 and 1975.

Usage

1

Format

A data frame with 93 observations on the following 7 variables.

Bsal

Annual salary at time of hire

Sal77

Salary as of March 1975

Sex

Sex of employee

Senior

Seniority (months since first hired)

Age

Age of employee (in months)

Educ

Education (in years)

Exper

Work experience prior to employment with the bank (months)

Source

Ramsey, F.L. and Schafer, D.W. (2002). The Statistical Sleuth: A Course in Methods of Data Analysis (2nd ed), Duxbury.

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

case0102

Examples

1
2
str(case1202)
pairs(Sal77~Bsal+Senior+Age+Exper, case1202)

Example output

'data.frame':	93 obs. of  7 variables:
 $ Bsal  : num  5040 6300 6000 6000 6000 6840 8100 6000 6000 6900 ...
 $ Sal77 : num  12420 12060 15120 16320 12300 ...
 $ Sex   : Factor w/ 2 levels "Female","Male": 2 2 2 2 2 2 2 2 2 2 ...
 $ Senior: num  96 82 67 97 66 92 66 82 88 75 ...
 $ Age   : num  329 357 315 354 351 374 369 363 555 416 ...
 $ Educ  : num  15 15 15 12 12 15 16 12 12 15 ...
 $ Exper : num  14 72 35.5 24 56 41.5 54.5 32 252 132 ...

Sleuth2 documentation built on Jan. 24, 2019, 9:04 a.m.