case1202: Sex discrimination in Employment
In Sleuth2: Data Sets from Ramsey and Schafer's "Statistical Sleuth (2nd Ed)"
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.
BsalAnnual salary at time of hire
Sal77Salary as of March 1975
SexSex of employee
SeniorSeniority (months since first hired)
AgeAge of employee (in months)
EducEducation (in years)
ExperWork 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
Examples
1
2
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 May 2, 2019, 7:01 a.m.
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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.
BsalAnnual salary at time of hire
Sal77Salary as of March 1975
SexSex of employee
SeniorSeniority (months since first hired)
AgeAge of employee (in months)
EducEducation (in years)
ExperWork 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
Examples
1 2 |
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 ...
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