Nonparametric Statistics

3 credits · Undergraduate

(3 hrs Lecture) This course considers statistical methods for analysing data when the distribution of the population is unknown and/or the measurement is on a nominal, ordinal, or interval scale. The contents include inference based on the binomial distribution, the Mann-Whitney-Wilcoxon test, the Wilcoxon signed rank test, measures of association for ranked data, the Kruskal-Wallis and Friedman tests, and elements of contingency table analysis. Requisite Courses: STAT-1302, or the former STAT-1201, or both STAT-1501 and STAT-2001 or the former STAT-1601 [prerequisite(s)].