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An Introduction to Mathematical Statistics
MATH 232
Spring 2008
Section: 01  

This is the second course of a two-semester sequence; MATH231 is a prerequisite for this course. Both courses are devoted to the ideas we use to treat random phenomena and not to computational proficiency, which can be learned in other places and is adequately treated using computer packages. The two basic concepts of this course are sample and statistical model; these are used to investigate the main statistical ideas used for decision making: bootstrapping, estimators, confidence intervals, and tests. The key ideas of maximum likelihood and sufficiency will be thoroughly discussed.

Essential Capabilities: Logical Reasoning, Quantitative Reasoning
Credit: 1 Gen Ed Area Dept: NSM MATH
Course Format: Lecture / DiscussionGrading Mode: Graded
Level: UGRD Prerequisites: MATH231
Fulfills a Major Requirement for: (CADS)(CIS)(COMP)(DATA-MN)(IDEA-MN)(MATH)(NS&B)
Past Enrollment Probability: Not Available

Last Updated on MAR-05-2024
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