Inference for Categorical Data

Overview

In this notebook, we’ll have an opportunity to explore inference on categorical variables. I didn’t want to choose all of the contexts that we worked in this semester, so I’m providing several options here. I have the following data sets loaded into this Posit.Cloud workspace that we could choose to investigate.

• mn_police_use_of_force.csv is a data set on use of force encounters with police in the state of Minnesota between 2016 and 2021.
• wound.csv is a data set resulting from a medical experiment where wounds were treated with soap or saline solution. The experiment was designed to determine whether the method of cleaning had an impact on infection rates.
• prevend.csv is a data set on the prevention of renal and vascular end-stage disease in the Netherlands between 2003 and 2006.

We’ll decide on our dataset and the research questions together in class. The only requirements are that we should have (i) a research question that asks about a single population proportion, and (ii) a research question that asks about a comparison of proportions across two sub-populations.

Our Data Set

We’ll decide on our data set and read it in below.

#Read in our chosen data set using this code cell...

We’ll describe our data set briefly below.

Our Research Questions and Hypotheses

We’ll define our research questions and hypotheses below.

Statistical Inference

We’ll conduct our inference here.

#We'll use this code cell (and perhaps some others) for conducting our analysis and making inference...

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Summary

We’ll summarize the work we’ve done here.