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INTRODUCTORY NONPARAMETRIC STATISTICS

STAT 351
Course Description

Distribution free statistical procedures or methods valid under nonrestrictive assumptions: basic tools; counting methods; order statistics, ranks, empirical distribution functions; distribution free tests and associated interval and point estimators; sign test; signed rank tests; rank tests; Mann Whitney Wilcoxon procedures; Kolmogorov Smirnov tests; permutation methods; kernel density estimation; kernel and spline regression estimation; computer techniques and programs; discussion and comparison with parametric methods.

Prerequisites

STAT 333 , STAT 340 , graduate/professional standing, or declared in Statistics VISP

Satisfies

This course does not satisfy any prerequisites.

Credits

Not Reported

Offered

Not Reported

Grade Point Average
3.46

-1.43% from Historical

Completion Rate
100%

0.89% from Historical

A Rate
29.31%

-45.61% from Historical

Class Size
58

2.47% from Historical

Cumulative Grade Distribution

Instructors (2026 Summr)

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