# case1202: Sex discrimination in Employment In Sleuth2: Data Sets from Ramsey and Schafer's "Statistical Sleuth (2nd Ed)"

## 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` ```case1202 ```

## 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.

`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 May 2, 2019, 7:01 a.m.