Credit Weight: 0.5 Prerequisite(s): Mathematics 2070 Description: 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. Offering: 3-0; 0-0

* Mathematics 4030 Probability and Statistics

Credit Weight: 0.5 Prerequisite(s): Mathematics 2070 Description: 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. Offering: 3-0; 0-0




There are no comments for this course.