This module serves as a foundation for almost all of the later modules. It covers:
- The laws of probability and the binomial, multinomial, and normal distributions.
- Descriptive statistics and methods of inference including maximum likelihood, confidence intervals and simple Bayes methods.
- Classical hypothesis testing topics, including type I and II errors, two-sample tests, chi-square tests and contingency table analysis, and exact and permutation tests.
- Resampling methods such as the bootstrap and jackknife are covered as well.