Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

# Statistics 110: Probability

### Syllabus

Lecture 1: Probability and Counting | Statistics 110.
Lecture 2: Story Proofs, Axioms of Probability | Statistics 110.
Lecture 3: Birthday Problem, Properties of Probability | Statistics 110.
Lecture 4: Conditional Probability | Statistics 110.
Lecture 5: Conditioning Continued, Law of Total Probability | Statistics 110.
Lecture 6: Monty Hall, Simpson's Paradox | Statistics 110.
Lecture 7: Gambler's Ruin and Random Variables | Statistics 110.
Lecture 8: Random Variables and Their Distributions | Statistics 110.
Lecture 9: Expectation, Indicator Random Variables, Linearity | Statistics 110.
Lecture 10: Expectation Continued | Statistics 110.
Lecture 11: The Poisson distribution | Statistics 110.
Lecture 12: Discrete vs. Continuous, the Uniform | Statistics 110.
Lecture 13: Normal distribution | Statistics 110.
Lecture 14: Location, Scale, and LOTUS | Statistics 110.
Lecture 15: Midterm Review | Statistics 110.
Lecture 16: Exponential Distribution | Statistics 110.
Lecture 17: Moment Generating Functions | Statistics 110.
Lecture 18: MGFs Continued | Statistics 110.
Lecture 19: Joint, Conditional, and Marginal Distributions | Statistics 110.
Lecture 20: Multinomial and Cauchy | Statistics 110.
Lecture 21: Covariance and Correlation | Statistics 110.
Lecture 22: Transformations and Convolutions | Statistics 110.
Lecture 23: Beta distribution | Statistics 110.
Lecture 24: Gamma distribution and Poisson process | Statistics 110.
Lecture 25: Order Statistics and Conditional Expectation | Statistics 110.
Lecture 26: Conditional Expectation Continued | Statistics 110.
Lecture 27: Conditional Expectation given an R.V. | Statistics 110.
Lecture 28: Inequalities | Statistics 110.
Lecture 29: Law of Large Numbers and Central Limit Theorem | Statistics 110.
Lecture 30: Chi-Square, Student-t, Multivariate Normal | Statistics 110.
Lecture 31: Markov Chains | Statistics 110.
Lecture 32: Markov Chains Continued | Statistics 110.
Lecture 33: Markov Chains Continued Further | Statistics 110.
Lecture 34: A Look Ahead | Statistics 110.
Joseph Blitzstein: "The Soul of Statistics" | Harvard Thinks Big 4.

### Taught by

Harvard University

## Reviews

Start your review of Statistics 110: Probability

### Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more. 