STA 211: Probability II
A fifteen-lecture guide to probability and its applications
Build a working understanding of probability: identify the random experiment, state the assumptions, select a suitable model and interpret the result. The course moves from counting and probability laws to discrete, continuous and multivariate distributions.
Start Lecture 01 Download the Word guide
Your study route
- 01Counting principles
- 02Repeated and circular arrangements
- 03Probability laws
- 04Conditional probability and Bayes
- 05Random variables and moments
- 06Probability inequalities
- 07Bernoulli and binomial
- 08Geometric and negative binomial
- 09Poisson
- 10Hypergeometric
- 11Uniform
- 12Normal
- 13Joint and conditional distributions
- 14Transformations and limit theorems
- 15Gamma and chi-square
How to use the lectures
Read the learning objectives and attempt the pre-test first. Work through the examples, then answer the post-test before checking the selected answers where provided. Learn each distribution’s experiment, support, parameters, mean, variance and assumptions together.
Course objectives and notation · Formula sheet · Sources and reading
The lecture pages preserve the content and mathematical equations of the supplied 2026 teaching edition. The website adds course navigation and a consolidated study route. The downloadable Word guide is the supplied edition.