Chi-Square Test | Complete roadmap [with example] from Hypothesis to Interpretation | PSN Academy
It is a tester of Null Hypothesis.
Two cases where Chi-square test is applicable:
1. Determines whether there is a significant ASSOCIATION between TWO CATEGORICAL variables
2. Determines Goodness of Fit test
Step 1: Setup Null hypothesis.
Step 2: Calculate the Expected frequency for each observed data.
Step 3: Calculate the Chi-square score of the given data.
Step 4: Calculate the degrees of freedom.
Step 5: Consult the Chi-square table and take decision regarding Null hypothesis.
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Chapters:
00:00 What is Chi-square test?
00:25 What are the two cases of Chi-square test?
03:20 What is the formula for Ch-square test?
04:15 What is a sample dataset for Ch-square test?
07:00 What are the steps for Chi-square test?
08:19 How to define Null hypothesis in Chi-square test?
09:03 How to calculate Expected frequency in Chi-square test?
16:23 How to calculate Chi-square score?
18:56 What is a Significance level?
19:44 What is Chi-square table?
20:40 How to decide on Null hypothesis in Chi-square test?
21:37 How to measure Goodness of Filt in Chi-square test?
26:31 What are the limitations of Chi-square test?
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