# Binary vs. Binary (unpaired/independent)

## Introduction

When you have a two binary variables you might be interested if there is an association (relation) between the two. For example if the gender (male/female) has an influence on where students had their secondary school (The Netherlands, or somewhere else).The analysis breaks down into the following parts (for each part in this analysis a separate page was created):

*Part 1: Descriptive analysis*

Use descriptive statistics to get an impression of the data, using:

- A cross table of the two variables
- A visualisation of the data with a clustered bar chart

*Part 2: Inferential statistics*

After the first impression determine what can be said about the population based on your sample data by:

- Determine if there is a significant association using a Fisher Exact test
- determine the effect sizes (Odds Ratio)

*Part 3: Reporting*

As the last step, you will need to write up all the results.

Let's begin with getting an impression of the results in the first part.

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