Parametric vs. Nonparametric Tests | Easy Explanation with Examples

Описание: In this video, we explore the key differences between Parametric and Nonparametric Tests — two fundamental categories of hypothesis testing in statistics.
You’ll learn:
✅ What “normally distributed” and “not normally distributed” data mean
✅ When to use parametric tests like t-test and ANOVA
✅ When to choose nonparametric tests like Mann-Whitney U or Kruskal-Wallis
✅ Examples, visual explanation, and real-world applications

This video is ideal for research scholars, MBA/PhD students, and educators who want a clear and practical understanding of statistical testing.


Scale of measurements video link

   • “Scales of Measurement in Research | Nomin...  

#Statistics #ResearchMethods #HypothesisTesting #Parametric #Nonparametric #PhDResearch #DataAnalysis










Scale of measurements full video link

   • “Scales of Measurement in Research | Nomin...