1. We can fill in the cells of the contingency table from the marginal counts if the two categorical variables are not associated.
2. We can see association between two categorical variables by comparing their bar charts.
3. The percentages of cases in the first column within each row of a contingency table (row percentages) are the same if the variables are not associated.
4. A large chi-squared tells us that there is strong association between two categorical variables.
5. The value of chi-squared depends on the number of cases in a contingency table.
6. Cramer’s V is 0 if the categorical variables are not associated.

  • CreatedJuly 14, 2015
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