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.

Prerequisties

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

3.27

-7.02% from Historical

Completion Rate

96.77%

-2.26% from Historical

A Rate

29.03%

-48.79% from Historical

Class Size

9.84% from Historical

Cumulative Grade Distribution

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

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