One-way ANOVA | Complete Statistical analysis from Hypothesis to Decision-making | PSN Academy
It is a tester of Null Hypothesis.
ANOVA stands for Analysis Of Variance used for studying cause-and-effect of one or more factors on a single dependent variable.
The independent variables MUST BE of nominal scale (categorical) and the dependent variable MUST BE metric (continuous).
Step 1: Setup Null hypothesis.
Step 2: Calculate the Variation_Between and Variation_Within of the samples.
Step 3: Calculate the degrees of freedom.
Step 4: Calculate the Variance_Between and Variance_Within of the samples.
Step 5: Calculate the F-Score of the given data.
Step 6: Consult the F-table and take decision regarding Null hypothesis.
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Chapters:
00:00 What is ANOVA?
00:23 What test it does?
01:51 What are the types of ANOVA?
04:23 Can you say that the Population means are equal?
04:44 What is the roadmap for ANOVA?
05:03 What are the steps of ANOVA?
06:10 What is Variation?
07:34 What is Variance?
09:22 What is Null hypothesis?
10:30 How to calculate F-score?
11:13 What is Variation Within?
15:29 What is Variation Between?
19:22 Why use Degree of Freedom in samples?
20:15 How to determine Degree of Freedom Between?
21:01 How to determine Degree of Freedom Within?
22:31 How to lookup F-table?
25:41 Why Bonferroni approach required after ANOVA?
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