| school_admissions {gorica} | R Documentation |
High School Admissions Data
Description
This dataset, provided by the UCLA Statistical Consulting Group (2021), contains information on factors that influence whether or not a high school senior is admitted into a very competitive engineering school. The dataset includes the following variables:
Usage
data(school_admissions)
Format
A data frame with 30 rows and 3 variables.
Details
| female | binary | Binary variable indicating the gender of the student. |
| apcalc | binary | Binary variable indicating whether or not the student took Advanced Placement calculus in high school. |
| admit | binary | Binary outcome variable indicating admission status, where 1 represents admission and 0 represents non-admission. |
The dataset is used for exact logistic regression analysis due to the binary outcome variable. It aims to identify the factors that contribute to admission decisions in a highly competitive engineering school. Since the dataset has a small sample size, specialized procedures are required for accurate estimation.
References
Introduction to SAS. UCLA: Statistical Consulting Group. from https://stats.oarc.ucla.edu/sas/modules/introduction-to-the-features-of-sas/ (accessed August 22, 2021).