Post-Hoc Tests Explained: Tukey, Bonferroni & Scheffรฉ (ANOVA)
Skills:
ML Maths Basics80%
Have you found a significant result in your ANOVA but don't know what to do next? ๐ This video breaks down the essential Post-Hoc tests you need to know to perform pairwise comparisons without falling into the trap of Type I errors.
We simplify complex statistical concepts into easy-to-understand visuals suitable for beginners and students. ๐
In this video, you will learn:
1. Why you can't just run multiple T-tests (The Multiple Comparisons Problem).
2. What Family-Wise Error Rate (FWER) is.
3. When to use Tukey's HSD for pairwise comparisons.
4. How the Bonferroni Correction works for planned tests.
5. When Scheffรฉ's method is necessary for complex contrasts.
Master your statistics class or research project with this clear guide! ๐
#statistics #ANOVA #datascience #researchmethods #psychology #mathhelp
Chapters:
00:00 - Introduction
00:19 - Why Post-Hoc?
00:46 - FWER
01:13 - The Big Three
01:36 - Tukey's HSD
01:59 - Bonferroni
02:25 - Scheffรฉ
02:51 - Comparison Spectrum
03:18 - Visualizing Significance
03:43 - Summary
04:06 - Outro
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Chapters (11)
Introduction
0:19
Why Post-Hoc?
0:46
FWER
1:13
The Big Three
1:36
Tukey's HSD
1:59
Bonferroni
2:25
Scheffรฉ
2:51
Comparison Spectrum
3:18
Visualizing Significance
3:43
Summary
4:06
Outro
๐
Tutor Explanation
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