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2019 September Semester
Jun 27, 2019
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STAT 371 - Probability and Statistics for Scientists and Engineers
This course is a calculus-based introduction to the theory and application of probability and statistics. The topics covered include concepts of probability, events, populations, probability theorems, the concept of a random variable, continuous and discrete random variables, joint probability distributions, distributions of functions of a random variable, moments, Chebyshev’s inequality, the de Moivre-Laplace theorem, the central limit theorem, sampling and statistical estimation theory, hypothesis testing, simple regression analysis, and an introduction to the design of experiments.
Credits: 3.000

Levels: Undergraduate
Schedule Types: Lecture, Self-Directed, Final Exam


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