Nonparametric Statistics. ((3 Credits))

Catalog description

Prerequisite(s): STAT 2040 or STAT 2050 with a grade of C or higher and University Advanced Standing Introduces nonparametric statistical procedures to apply in situations when parametric statistics (usually based on normality) are not appropriate. Covers types of nonparametric analyses that includes one and two sample hypothesis tests, goodness-of-fit tests, contingency tables, block designs, and regression analysis.