A continuation of MATH 3300 Mathematical Statistics I, with further applications of probability theory to statistical problems of estimation and hypothesis testing, including least squares estimation and correlation. Also studied is analysis of variance with numerous applications of this technique.
Prerequisite(s): Grade of "C" or better in MATH 3300 Mathematical Statistics I.
An introduction to basic probability and statistics concepts with an emphasis on applications. Topics include descriptive statistics, axioms and calculations of probabilities, Bayes' Theorem, discrete and continuous probability distributions, joint probability distributions, estimation and hypothesis testing.
Prerequisite(s): Grade of "C" or better in MATH 1610 Calculus II.
(Normally offered fall of even-numbered years.)