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|MATH 3081 - Probability and Statistics|
Focuses on probability theory. Topics include sample space; conditional probability and independence; discrete and continuous probability distributions for one and for several random variables; expectation; variance; special distributions including binomial, Poisson, and normal distributions; law of large numbers; and central limit theorem. Also introduces basic statistical theory including estimation of parameters, confidence intervals, and hypothesis testing. Prereq. MATH 1242, MATH 1252, or MATH 1342.
4.000 Credit hours
4.000 Lecture hours
Schedule Types: Lecture
NUpath Analyzing/Using Data, UG College of Science