Post-Hoc Tests Explained: Tukey, Bonferroni & Scheffรฉ (ANOVA)

CodeLucky ยท Beginner ยท๐Ÿ“Š Data Analytics & Business Intelligence ยท1mo ago
Have you found a significant result in your ANOVA but don't know what to do next? ๐Ÿ“Š 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. ๐ŸŽ“ 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! ๐Ÿš€ #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 ๐Ÿ”— Stay Connected: โ–ถ๏ธ YouTube: https://youtube.com/@thecodelucky ๐Ÿ“ฑ Instagram: https://instagram.com/thecodelucky ๐Ÿ“˜ Facebook: https://facebook.com/codeluckyfb ๐ŸŒ Website: https://codelucky.com โญ Support us by Liking, Subscribing, and Sharing! ๐Ÿ’ฌ Drop your questions in the comments below ๐Ÿ”” Hit the notification bell to never miss an update #CodeLucky
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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
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