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|MATH 140 - Intro Math Statistics|
This course provides an introduction to probability theory and statistical inference. The first half of the course introduces fundamentals in probability. Topics to be covered include basic probability principles, enumeration methods, properties of random variables, common discrete and continuous distribution functions, and expected values. The second half of the course focuses on the core of statistical inference and deals with the central limit theorem, maximum likelihood estimation, confidence intervals, hypothesis testing, and the linear regression model. Statistical software will be used to illustrate concepts and to perform data analysis.
3.000 Credit hours
3.000 Lecture hours
0.000 Lab hours
Schedule Types: Lecture
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