Statistics 315 - Statistics I
Spring
2025
05
3.00
Michael Sullivan
TU TH 8:30AM 9:45AM
UMass Amherst
50775
Lederle Grad Res. Ctr rm A201
sullivan@math.umass.edu
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.
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