R Dataset / Package datasets / UCBAdmissions

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<iframe src="https://embed.picostat.com/r-dataset-package-datasets-ucbadmissions.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-37099.csv 670 bytes
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Dataset Help

On this Picostat.com statistics page, you will find information about the UCBAdmissions data set which pertains to Student Admissions at UC Berkeley. The UCBAdmissions data set is found in the datasets R package. You can load the UCBAdmissions data set in R by issuing the following command at the console data("UCBAdmissions"). This will load the data into a variable called UCBAdmissions. If R says the UCBAdmissions data set is not found, you can try installing the package by issuing this command install.packages("datasets") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the UCBAdmissions R data set. The size of this file is about 670 bytes.

Documentation

Student Admissions at UC Berkeley

Description

Aggregate data on applicants to graduate school at Berkeley for the six largest departments in 1973 classified by admission and sex.

Usage

UCBAdmissions

Format

A 3-dimensional array resulting from cross-tabulating 4526 observations on 3 variables. The variables and their levels are as follows:

No Name Levels
1 Admit Admitted, Rejected
2 Gender Male, Female
3 Dept A, B, C, D, E, F

Details

This data set is frequently used for illustrating Simpson's paradox, see Bickel et al (1975). At issue is whether the data show evidence of sex bias in admission practices. There were 2691 male applicants, of whom 1198 (44.5%) were admitted, compared with 1835 female applicants of whom 557 (30.4%) were admitted. This gives a sample odds ratio of 1.83, indicating that males were almost twice as likely to be admitted. In fact, graphical methods (as in the example below) or log-linear modelling show that the apparent association between admission and sex stems from differences in the tendency of males and females to apply to the individual departments (females used to apply more to departments with higher rejection rates).

This data set can also be used for illustrating methods for graphical display of categorical data, such as the general-purpose mosaicplot or the fourfoldplot for 2-by-2-by-k tables.

References

Bickel, P. J., Hammel, E. A., and O'Connell, J. W. (1975) Sex bias in graduate admissions: Data from Berkeley. Science, 187, 398–403.

Examples

require(graphics)
## Data aggregated over departments
apply(UCBAdmissions, c(1, 2), sum)
mosaicplot(apply(UCBAdmissions, c(1, 2), sum),
           main = "Student admissions at UC Berkeley")
## Data for individual departments
opar <- par(mfrow = c(2, 3), oma = c(0, 0, 2, 0))
for(i in 1:6)
  mosaicplot(UCBAdmissions[,,i],
    xlab = "Admit", ylab = "Sex",
    main = paste("Department", LETTERS[i]))
mtext(expression(bold("Student admissions at UC Berkeley")),
      outer = TRUE, cex = 1.5)
par(opar)
--

Dataset imported from https://www.r-project.org.

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