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