IMSE 317: Eng Probability and Statistics

IMSE Department University of Michigan-Dearborn

Course Description

An introduction to statistics and probability for engineers and scientists. Topics include descriptive statistics and data visualization, set theory, permutations and combinations, Bayes’ theorem, independence, discrete and continuous random variables, conditional and joint probability, central limit theorem, point estimation, confidence intervals, hypothesis testing, and hands-on experience with analytics software. Three hours lecture. (F, W, S).

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