Probability builds a model of randomness (sample spaces, random variables, distributions); statistics inverts it, inferring the model from data (estimation, testing, regression). These notes run from axioms through the central limit theorem to inference.
Probability
- Random Variables and Distributions
- Expectation and Moments
- Bayes Theorem and Conditional Probability
- Central Limit Theorem