Probability for the Life Sciences
A 13-module path through probability for the life sciences, in study order from foundations to the frontier.
Modules
- Probability Basics and the Frequentist View
- The Addition Rule and Mutually Exclusive Events
- The Multiplication Rule and Independence
- Conditional Probability
- Independence Revisited
- Bayes' Theorem and Diagnostic Testing
- Random Variables and Probability Distributions
- The Binomial Distribution
- The Poisson Distribution
- The Normal Distribution
- The Standard Normal and Z-Scores
- Sampling Distributions
- The Central Limit Theorem