Probability Theory

Probability Theory Class Notes

Keywords: probability theory notes, Blitzstein and Hwang, sample spaces, counting, conditional probability, Bayes rule, random variables, expectation, variance, conditional expectation, central limit theorem.

As an instructor of introduction to probability theory, I prepared these PDFs as a review of the chapters in Introduction to Probability by Blitzstein and Hwang. They include example problems which have been worked out in some detail. I hope you find these useful.

Class Notes In-Class Activities Solutions
1.1 thru 1.4 Sample Space, Naive Definition, Counting, Over Counting
1.5 1.6 Stories NonNaive
2.1 Think Conditionally
2.2 2.3 2.4 Conditional Probability, Bayes, LOTP
2.5 2.8 Independence, Coherency, Problem Solving, Pitfalls and Paradoxes
3.1 3.2 Random Variables, Distributions, Probability Mass Functions
3.3 3.5 Bernoulli, Binomial, Hypergeometric, Uniform
3.6 3.8 Cumulative Distribution Functions, Functions of RVs, Independence
4.1 4.3 Expectation, Linearity, Geometric, Negative Binomial
4.5 4.6 LOTUS, Variance
4.7 5.1 Poisson, Probability Density Functions
5.2 5.3 Uniform, Universality
5.4 5.5 Normal, Exponential
6.1 6.3 Distribution Summaries, Moments, Sample Moments
6.4 Moment Generating Functions
7.1 7.2 Joint Marginal, Conditional, 2D LOTUS
8.1 Change of Variables
9.1 9.2 Conditional Expectation
7.3 Covariance Correlation
10.1 10.2 Inequalities, Law of Large Numbers
10.3 Central Limit Theorem