By completing Stats 116, students can expect to acquire a range of skills and knowledge, including:
“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).” stats 116 stanford
If you are a CS, Math, Physics, Econ (with a quantitative focus), or Data Science major, . The others are not rigorous enough for graduate-level ML or finance. By completing Stats 116, students can expect to
Have you taken STATS 116 at Stanford? Share your experience in the comments below—and good luck on the midterm! Have you taken STATS 116 at Stanford
❌ 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.