), Statistics: General Statistics Track (B.S. It's definitely hard, but so far I'm having a better time with the material than I did with 131A. Analysis of variance, F-test. STA 131A Introduction to Probability Theory (4 units) Course Description: Fundamental concepts of probability theory, discrete and continuous random variables, standard distributions, moments and moment-generating functions, . Mathematical Sciences Building 1147. . Prerequisite(s): Two years of high school algebra or Mathematics D. Course Description: Principles of descriptive statistics. UC Davis Peter Hall Conference: Advances in Statistical Data Science. Course Description: Topics in asymptotic theory of statistics chosen from weak convergence, contiguity, empirical processes, Edgeworth expansion, and semiparametric inference. Course Description: Random experiments; countable sample spaces; elementary probability axioms; counting formulas; conditional probability; independence; Bayes theorem; expectation; gambling problems; binomial, hypergeometric, Poisson, geometric, negative binomial and multinomial models; limiting distributions; Markov chains. Polonik does his best to make difficult material understandable, and is a compotent and caring lecturer. Prerequisite(s): STA130A; STA130B; or equivalent of STA130A and STA130B. All rights reserved. B.S. in Data Science: Foundations Track - UC Davis Department of Statistics You are encouraged to contact the Statistics Department's Undergraduate Program Coordinator atstat-advising@ucdavis.eduif you have any questions about the statistics major tracks. Prerequisite: STA 108 C- or better or STA 106 C- or better. STA 231B: Mathematical Statistics II | UC Davis Department of Statistics Course Description: In-depth examination of a special topic in a small group setting. Please check the Undergraduate Admissions website for information about admissions requirements.
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