MATH 4531 Applied Intermediate Statistics

3 hours; 3 credits

A second course in Statistics with emphasis on applications in Data Science. Introduction to the use of R software; analysis of variance; multiple comparisons; the Kruskal-Wallis test; linear least squares regression and statistical properties; multivariate normal distribution; Bayesian statistics and basics of decision theory; sampling and experimental design. Optional: non-parametric statistics.

Prerequisite: Mathematics 2501 or Mathematics 3501, and Mathematics 2101.


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