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2024 Fall
Jan 15, 2025
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Information Select the desired Level or Schedule Type to find available classes for the course.

STAT 386 - Nonparametric Statistical Methods
Nonparametric statistics for data analysis including rank-based methods, bootstrap methods, and permutation tests; one-sample and two-sample methods; paired comparisons and blocked designs; tests for trends and association; smoothing methods and robust model fitting. ***Prerequisite: STAT 252 and CS 110.***
0.000 OR 3.000 Credit hours
0.000 OR 3.000 Lecture hours
0.000 OR 1.000 Lab hours

Levels: Undergraduate
Schedule Types: Lecture, Lab, Examination

Mathematics & Statistics Department

Restrictions:
Must be enrolled in one of the following Levels:     
      Undergraduate
      Graduate

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Release: 8.7.2.4