Case C→C
The following video was created for this section and the full course summary and is presented in both locations.
Course Summary Part F (5:30)
View Lecture Slides with Transcript – for Part F of Course Summary
- Slides 52 – 57: Chi-square test
Original Videos
- These videos may still use an old “module” based terminology which we no longer use, apologies for any confusion.
- There are more details in these videos than in the course summary video above.
- There is no presentation available but the videos generally follow the course materials.
- There are only automatic closed captions and no transcripts for these videos.
Case CC – Part A (8:04)
- Introduction to Case CC
Case CC – Part B (10:49)
- RxC Case – General Case
- Fake Data Example
- Finding expected cell counts assuming the two categorical variables are independent
- Comparing data to expected counts to get an “idea” about how “rare” our data might be, assuming the variables are independent
Case CC – Part C (10:55)
- 2×2 Case
- Calculating Expected Counts
- Fake Data Example
- Risk Difference
- Odds Ratio
Case CC – Part D (5:16)
- Steps for Chi-square Test for Independence
- Steps for Fisher’s Exact Test
Case CC – Part E (8:22)
- Example 1 – Low Birth Weight vs. various explanatory variables
- Example 2 – Looks vs. Personality Revisited (reduced to two categorical variables)
This document linked from Case C→C