Mathematics of Inferential Statistics
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Overview
Subject area
MTH
Catalog Number
4430
Course Title
Mathematics of Inferential Statistics
Department(s)
Description
This class provides a calculus-based introduction to inferential statistics. Basic concepts of random sampling and statistics including confidence intervals, bias, the method of moments, percentile matching, and sampling distribution estimators will be covered. Additional topics include hypothesis testing using concepts such as the t-test, Chi-square test, goodness-of-fit test, and the Neyman-Pearson Lemma; maximum likelihood estimators; Bayes estimators; sufficient and robust statistics; information criteria; and an introduction to inference on linear models.
Typically Offered
Fall, Spring, Summer
Academic Career
Undergraduate
Liberal Arts
Yes
Credits
Minimum Units
4
Maximum Units
4
Academic Progress Units
4
Repeat For Credit
No
Components
Name
Lecture
Hours
4
Requisites
022961