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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.
4.000 Credit hours
4.000 Lecture hours
Schedule Types: Lecture
NUpath Analyzing/Using Data, UG College of Science