Parametric vs. Nonparametric Tests | Easy Explanation with Examples
Автор: Harshita Goyal
Загружено: 2025-11-04
Просмотров: 46
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
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#Statistics #ResearchMethods #HypothesisTesting #Parametric #Nonparametric #PhDResearch #DataAnalysis
Scale of measurements full video link
• “Scales of Measurement in Research | Nomin...
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