# Introductory Bayesian Inference

## Module 1: Foundations
### Descriptive Statistics
- Objective: Explain mean, median, and variance.
- Exercise: Summarize a small dataset.

### Probability Basics
- Objective: Explain conditional probability.
- Exercise: Compute a simple conditional probability.

## Module 2: Bayesian Updating
### Prior and Posterior
- Objective: Explain a prior distribution.
- Objective: Explain how evidence changes belief.
- Exercise: Compare prior and posterior beliefs.
