Small Samples: Expected Counts Below 5, Combining Categories & Fisher's Exact Test
This lesson is part of the course
In this lesson
You check the expected-count rule on a sparse table, fix it by combining two categories, and calculate a one-sided Fisher exact p-value for a tiny 2 × 2 pilot with COMBIN.
Buy the course once for $9.99 to unlock every lesson and lab, the final exam and the certificate – lifetime access, no subscription.
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