Analyze admissions data to determine if males or females are a privileged or unprivileged group when applying to nursing school. Understand how to identify bias and discrimination.
Table of Contents
Question
Daniel is trying to get into nursing school. His resume is excellent, but he was turned down by all the schools he applied to. When he looked into the admissions process, he found that all the schools used the same AI model to process the applications. When Daniel looked at the data for the past 10 years, he found that in every year no less than 60% of applicants were female and the rest were male. He also found that every year at least 90% of the students accepted were female.
According to this data, which of the following seems to be true?
A. Females are a privileged group.
B. Females are an unprivileged group.
C. Females and males are both unprivileged groups.
D. Males are a privileged group.
Answer
A. Females are a privileged group.
Explanation
Groups that traditionally receive more favorable outcomes are called privileged and groups that traditionally receive fewer to no favorable outcomes are called unprivileged. In this case, females are a privileged group.
Based on the data provided, where at least 90% of the students accepted into nursing school each year are female, despite females making up no less than 60% of the applicants, it seems that females are a privileged group.
This suggests that females have a higher likelihood of being accepted into the nursing schools that use this AI model for the admissions process, indicating a potential bias in the system towards female applicants.
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