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 Note: Math 233 is strongly recommended for this course.

35 seats reserved for Math, Compsci, BME, and Informatics majors

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