Chi-Square Test: Are These Two Categorical Variables Related?

This is a part of the Hypothesis Testing series. This time, we will introduce Chi-Square Test, which is to test hypotheses about the relationship between two categorical variables.

Let's say you want to know if there is any difference in terms of effectiveness between wearing mask and not wearing mask. We have a variable of 'Infection' whose values would be 'Infected' or 'Not Infected' and a variable of 'Wearing Mask' whose values would be 'Yes' and 'No'. Are there any relationship between these two variables?

That's the kind of question we can use Chi-Square Test to answer.

In this seminar, Kan introduces the Chi-Square Test and demonstrates how to interpret the result by using Exploratory.

Agenda:

• Thinking Framework for Hypothesis Testing
• Are These Two Categories Related?
• Difference between Actual and Expected
• How to Test the Difference?
• P Value and Significant Level
• How to run Chi-Square Test in Exploratory
• How to Interpret the Result

Hypothesis Testing Series

• Introduction to Hypothesis Testing - Link
• Introduction to t-Test: Comparing Two Means - Link

Past Seminars

You can check other past seminars on this page.

For the upcoming seminars, check out our Exploratory Online Seminar page!