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| MATH 412 - Mathematical Statistics |
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Prerequisite: MATH 403 with a minimum grade of "C-" This course is a calculus-based approach to the analysis of hypothesis tests, and both point and interval estimators. Topics include: Uniform Minimum Variance Unbiased Estimation (UMVUE), Uniformly Most Powerful (UMP) tests, correlation and regression, Best Linear Unbiased Estimation (BLUE), Analysis of Variance (ANOVA), as well as a study of how the gamma, t , chi-squared, and F distributions arise. Offered spring semester.
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Directed Study, Honors, Interactive Video, Lecture, Online Hybrid, Web-Based w/Lecture-80%+ onWeb, Online Asynchronous, Online Synchronous All Sections for this Course Mathematics Department Restrictions: Must be enrolled in one of the following Levels: Undergraduate Graduate Prerequisites: Undergraduate level MATH 403 Minimum Grade of C- or Undergraduate level MA 403 Minimum Grade of C- |
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