Stats 116 Stanford !link! -

Theory of Probability IIStudents who took STATS 116 in Autumn 2023 or earlier can still use it to fulfill major requirements for Data Science and MCS . Core Curriculum

❌ Heavy weekly problem sets – hard to balance with CS projects. ❌ Some topics (e.g., MGFs, Poisson processes) feel rushed in last 2 weeks. ❌ Exams can have “trick” combinatorial problems. ❌ Minimal statistics (no MLE, hypothesis testing, regression) – that’s STATS 200. ❌ If you struggle with integration by parts or double integrals, you’ll suffer. stats 116 stanford

The primary objective of Stats 116 is to equip students with a deep understanding of probability and statistical theories, as well as their practical applications. By the end of the course, students can expect to: Theory of Probability IIStudents who took STATS 116

“If 5 cards are drawn from a deck, what’s the probability of exactly 2 aces given at least 1 ace?” “Let X ~ Exponential(λ). Find E[X^3].” “Prove that if X and Y are independent, then Var(X+Y) = Var(X)+Var(Y).” “Use Chebyshev’s inequality to bound P(|S_n – np| > ε).” ❌ Exams can have “trick” combinatorial problems

“The problem sets take 10-15 hours a week. Go to office hours. Form a study group. Do not fall behind on moment generating functions—they show up on the final like a fever dream.” – Econ Major, ’23