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An Introduction to Mathematical Statistics
MATH 232
Spring 2009
Section: 01  

After a brief but intensive study of the basic notions of estimation, hypothesis testing, regression, and analysis of variance, the remainder of this course will be devoted to the study of stochastic processes. The discrete time processes studied will include independent processes, Markov chains, and random walks; the continuous time processes that are important are Poisson processes and Brownian motion. Emphasis will be placed on understanding of the concepts and communicating that understanding to others, rather than on correctness of answers and calculation.

Essential Capabilities: Logical Reasoning, Quantitative Reasoning
This course will focus on the creation of formally correct inductive and deductive arguments, and will train students to formulate mathematical theories and descriptions of specific and complex objects.
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 AUG-12-2020
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