OA4105 Nonparametric Statistics

Inference based on the binomial distribution, including hypothesis tests, confidence intervals for percentiles, and tolerance intervals. Kaplan-Meier estimation with censored failure data. Analysis of contingency tables, including tests for goodness-of-fit and independence. Permutation tests and tests based on ranks and scores in a variety of applications. Goodness-of-fit testing for continuous distributions and families. Application of techniques to data using computing software will be emphasized.

Prerequisite

OA3103 or consent of the instructor

Lecture Hours

4

Lab Hours

0

Course Learning Outcomes

Upon completion of the course you should exhibit mastery of the following skills:

• Recognize the tradeoffs between parametric and nonparametric statistical methods.
• Know how to compare a nonparametric statistical technique to its best parametric counterpart.
• Know how to use computing resources for permutation and bootstrapping approaches to statistical inference.
• Know how to conduct statistical inference with ordinal and categorical data.
• Know how to conduct statistical inference based on ranks.