Applied Statistics I. 3 credits

Catalog description

Application of basic statistical techniques. Focus is on the problem (data analysis) rather than on the theory. Topics include hypothesis testing concepts; sampling distributions; one- and two-sample tests and normal-theory based and bootstrap confidence intervals; analysis of variance; simple linear regression; randomized block design; ANCOVA models. Statistical reasoning ideas are emphasized, such as confounding, sources of variations and types of bias. Note: Certificate program students granted credit for only one of STAT 535 or 554 . Offered by Statistics . May not be repeated for credit.