The chi-square test is used when you have data that are categorical (nominal) or ordinal.

1. Give an example of acategorical/nominal measurement scale- think of avariablethat you would explore and for which you would collect nominal data, and share it (hint: you cannot compute a mean with this type of data/measurement scale):
   1. How many categories(levels/groups) does this variable have? Share the categories:
2. Give an example of anothercategorical/nominal measurement scale- anothervariablethat you would measure that might change the frequencies you observe in the first variable you mentioned in #1 (essentially making this a two-way Chi-Square test of independence):
   1. How many categories(levels/groups) that this new variable have:
3. Insert a tableandlabelit (look in the presentation slides for table examples of two-way Chi-Square designs) identifying the following:
   1. Factor A and the conditions of Factor A in separate columns
   2. Factor B, and the conditions of Factor B in separate rows
   3. In the cells, label the DV for chi-square test (what is the DV for chi-square designs? this is the same for all chi-square designs - it's in the slides)
4. How would you convert your study of interest into a Chi-Square design using non-parametric statistics versus parametric statistics?