MATH 36A — Probability

[ qr sn ]

Prerequisite: MATH 20a or 22b.

Sample spaces and probability measures, elementary combinatorial examples. Conditional probability. Random variables, expectations, variance, distribution and density functions. Independence and correlation. Chebychev's inequality and the weak law of large numbers. Central limit theorem. Markov and Poisson processes. Usually offered every year.
Mr. Merrill (fall)