Cramér's V: How Strong Is the Association?
This lesson is part of the course
In this lesson
You turn chi-square into Cramér's V for two tables, then see that ten times more riders makes the p-value collapse while the effect size stays exactly the same.
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Lessons in this course
- Building a Cross-Tab from Raw Rows with COUNTIFS Locked
- Row %, Column % and Total %: Asking the Right Question Locked
- Expected Counts: What Independence Would Look Like Locked
- Chi-Square Test of Independence: by Hand and with CHISQ.TEST Locked
- Cramér's V: How Strong Is the Association? Locked
- 2 × 2 Tables: Risk Difference, Relative Risk and Odds Ratio with a CI Locked
- Small Samples: Expected Counts Below 5, Combining Categories & Fisher's Exact Test Locked
- McNemar's Test for Paired Yes/No Answers + a 100% Stacked Chart Locked