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Mathematics (MATH) Courses
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Your search for courses for 19/SP and MATH and course number 275 found 1 course.
MATH 275.00 Introduction to Statistical Inference 6 credits
Open: Size: 28, Registered: 24, Waitlist: 0
M | T | W | TH | F |
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1:50pm3:00pm | 1:50pm3:00pm | 2:20pm3:20pm |
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Synonym: 51427
Introduction to modern mathematical statistics. The mathematics underlying fundamental statistical concepts will be covered as well as applications of these ideas to real-life data. Topics include: resampling methods (permutation tests, bootstrap intervals), classical methods (parametric hypothesis tests and confidence intervals), parameter estimation, goodness-of-fit tests, regression, and Bayesian methods. The statistical package R will be used to analyze data sets.
Prerequisite: Mathematics 265
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