Non-Parametric Tests

Training Overview

This training will address the basics of Non-Parametric tests. When the underlying distribution of the data is not known, we must turn to Non-Parametric statistics to conduct hypothesis testing. Non-Parametric tests tend to be less powerful than their corresponding parametric tests.

Training Benefits
  • Need for Non-Parametric Tests
  • Types of Non-Parametric Tests
  • Advantages of Non-Parametric Tests
  • Examples of Non-Parametric Tests
Training Methodology
  • Presentation
  • Interactive Session
  • Q&A Session
  • Written Examination
Training Content
  • Introduction to Non-Parametric Tests
  • Run Test
  • 1 Sample Sign Test
  • 1 Sample Wilcoxon
  • 2 Sample Mann-Whitney Test
  • Spearmans Rank Correlation
  • Kruskal-Wallis Test
  • Moods Median Test
  • Levene’s Test
Who Should Attend
  • Managers, Executives, Engineers and Other Staff
  • Students or any Professionals requiring an overview of Non-Parametric Tests