Gender-bias tends to be an issue for UC Berkley in 1973. Female applicants got more rejected than male applicants. The female applicants got concerned about them being sexist. UC Berkley didn’t want to get in trouble and wanted to find a solution to it.

There are two bar graphs, side-by-side bars, the first graph demonstrates of how many females and males have been rejected and admitted.

The second graph shows how many female applicants applied to each department

Simpson’s paradox shows the similar yet different data from similar yet different sub-groups then when combined together, data from both groups usually will show the whole idea or picture of results.

The problem was how many females applied for specific departments. Female applicants in those departments have smaller percent of applications that would be accepted. It is based on female’s factors and favors.

Grigg, Tom. (Dec 9, 2018) Simpson’s Paradox and Interpreting Data https://towardsdatascience.com/simpsons-paradox-and-interpreting-data-6a0443516765