DISCRIM: DISCRIM: Gender Discrimination in Hiring

In thoree/stat340: Data and functions for BIAS at NMBU

DISCRIM: Gender Discrimination in Hiring

Description

This data contains information on the amount of education and work experience for 28 former male and female applicants. An equal-right group claims that females are less likely to be hired than males with the same background.

Usage

DISCRIM

Format

A data frame with 28 observations (rows) and 4 variables (columns).

	Column name	Data type	Description	Values
[,1]	HIRE	numeric	1 if the person was hired, otherwise 0	(0 - 1)
[,2]	EDUC	numeric	Years of higher education	(4 - 8)
[,3]	EXP	numeric	Years of experience	(0 - 12)
[,4]	GENDER	numeric	1 if male applicant, otherwise 0	(0 - 1)

Details

The data is from Exercise 9.21 in A second course in statistics: Regression Analysis, 7th edition.

Source

Mendenhall, W., Sincich, T. (2012) A second course in statistics: Regression Analysis, 7th edition.. Pearson Education.

Examples

# A short summary of the variables
summary(DISCRIM)

# Structure of the object
str(DISCRIM)

thoree/stat340 documentation built on June 30, 2024, 4:04 p.m.