Applied Intermediate Statistics

Catalog description

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.