# Bias in the jury selection process

When selecting a jury, both the defense and the prosecution are allowed to strike potential jurors from the pool. While the potential jurors provide answers to a questionnaire, what kind of role might race play in their selection or rejection?

logistic regression feature selection odds ratio p values race

### Readings and links

- How did Curtis Flowers end up with a nearly all-white jury?
- In the Dark, Season Two
- GitHub repo with code and data
- Whitepaper for the analysis

### Summary

Building on our experience with logistic regression, can we find bias in the jury selection process? Our feature encoding is pretty easy, but there are a *lot* of things we'll be controlling for.

### Notebooks, Assignments, and Walkthroughs

#### Combining and cleaning the initial dataset

Cleaning the dataset

#### Picking what matters and what doesn't in a regression

How to use the statistical measure "p-value" to pick which features to include in your regression model. Also known as "feature selection."

#### Analyzing data using statsmodels formulas

Perform some cleaning and the main logistic regression using the formula method in the statsmodels package.

#### Alternative techniques with statsmodels formulas

Using casting-as-categorical in statsmodels formulas to approach this in another way. Not the same as