Statistics 315 - Statistics I

First semester of a two-semester sequence. Emphasis given to probability theory necessary for application to and understanding of statistical inference. Probability models, sample spaces, conditional probability, independence. Random variables, expectation, variance, and various discrete and continuous probability distributions. Sampling distributions, the Central Limit Theorem and normal approximations. Multivariate calculus introduced as needed. (Gen. Ed. R2)

MATH 132 w/ C To submit an override request, please visit: https://forms.gle/bd2QH7BsJXmBJ4Bv7

35 seats reserved for Math, Stat and DS, CompSci, or BME and Informatics majors