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wrote...
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6 years ago
A chi-square test is not appropriate if:

A. There are more than five levels of one of the variables
 B. The observed frequency in any cell is 0
 C. The distribution of scores is not normal
 D. The expected frequency in any cell is 0
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wrote...
Educator
6 years ago
A. There are more than five levels of one of the variables

It says that here: http://www.pt.armstrong.edu/wright/hlpr/text/3.2.indvar1.htm

The independent variable is sometimes called the "grouping" variable, because each group has a specific level or value of the variable. All members of each group will receive or participate in the same intervention, but it will be different for different groups.

The independent variable must have at least two groups or levels, but may have more levels - but usually not more than 5. For example if I want to find out if there are more cars of one color than another at an intersection, I can count the number of blue, red, green, white, and black cars that pass the intersection over the course of a day. The variable is car color. There are 5 levels (blue, red, green, white & black) of the independent variable "car color".
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