Chi-square : GF = , GF compare, Independence

THE SIMILARITIES:

1. All use frequency counts as the data

2. All use the same chi-square formula

3. Once you have your O and E tables, the rest of the procedure is the same

THE DIFFERENCES:

1. Each addresses a different question

2. Thus hypotheses differ in form

3. Df formula different for GF (C-1) and IND (C-1)(R-1). Note: for GF, C = cells or categories. For IND, C= number of columns, R = number of rows

4. **How you generate expected frequencies differs**

GF = : divide 100% evenly, then use *pn*

GF compare : use % from comparion pop., then
use *pn*

IND : calculate column and row totals, then use
*f*e = *f*c *f*r / *n* formula