Two-Way ANOVA Made Easy: Step-by-Step with Examples |Quantifying Factorial Effects with 2-Way ANOVA

Описание: In this video, we explore the fundamentals of Two-Way ANOVA (Analysis of Variance)—a powerful statistical method used to examine the effect of two independent categorical variables on a single quantitative outcome.

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00:00 Introduction
00:19 Numerical on ANOVA
00:36 Ways to identify TWO Way ANOVA
01:09 Steps in ANOVA
1:37 Hypothesis setup
2:19 Table reduction
3:26 Sum of all observations
4:40 Correction factor
5:14 SSB or SSTR - Sum of squares between Salesmen or sum of squares for treatment
6:23 SSB or SSTR - Sum of squares between months or sum of squares for treatment for months
7:24 SST -Total Sum of squares
8:36 SSE- sum of squares for error -Sum of Squares Within Groups(salesmen)
9:18 Sources of variation table
9:48 Degrees of freedom
10:27 Mean square
10:51 F-test
11:22 F calculated value
11:39 F test-calculated value & critical value for salesmen
13:02 F test-calculated value & critical value for months
13:58 Hypothesis result
14:07 Conclusion

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You'll learn:

What Two-Way ANOVA is and when to use it

The difference between main effects and interaction effects

How to interpret the ANOVA table and F-test results

A step-by-step walkthrough with a practical example

This tutorial is ideal for students, researchers, and data analysts who want to strengthen their understanding of experimental design and hypothesis testing. No advanced math required—just clear explanations and real-world insight.

Whether you're analyzing survey results, scientific experiments, or business data, mastering Two-Way ANOVA will help you draw meaningful conclusions from your data.

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