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Mathematics (MATH) Courses Listing - Probability and Statistics

Mathematics 4030 Probability and Statistics
Probability and relative frequency; joint probabilities of related and independent events; Bayes' Theorem; statistical independence; random variables; cumulative distribution functions; probability density functions; parameters describing the central tendency and dispersion of distribution; probability distribution functions in engineering; law of large numbers; central limit theorem; testing hypotheses and goodness of fit; sampling theory; linear correlation and regression.
Credit Weight: 0.5
Prerequisite(s): Mathematics 2070
Offering: 3-0; 0-0
Course Classifications: Type C: Engineering, Mathematical and Natural Sciences