# Non-Parametric Statistics Help

Non-Parametric Statistics is the study of statistics in which parameters are not measurable values, but rather based on ordinal level measurement. Non-Parametric Statistics is often used in psychology in which surveys are given to subjects asking for ordinal scale ratings to given survey questions for analysis purposes.

We provide comprehensive Non-Parametric Statistics tutoring for students including the following Non-Parametric Statistics topics:

- Cohen’s Test
- Curve Fitting Methods
- Difference between Medians
- Friedman Test
- H Test
- Hilbert-Schmidt Polynomials
- Kendall’s W Test
- Kolmogorov-Smirnov Test
- Kruskal-Wallis Test
- Latent Variables
- Longitudinal Analysis
- Mann-Whitney Test
- Non-Parametric Regression
- Paired Sample Sign Test
- Rank Correlation
- Runs Test for Randomness
- Siegel-Tukey Test
- Sign Test
- Spearman Rank Test
- U Test
- Wilcoxon Rank Sum Test