If the independent variable does affect the outcome of the experiment, the Chi-square value will be greater than the critical value because you are rejecting the null hypothesis.
What is Chi-square?
The Chi-square is a statistical tool used to test the significant difference between two sets of similar data. It is an inferential statistical tool that can be used to test the acceptability or otherwise of null hypotheses.
The Chi-square value from data must be greater than the critical value in order for the null hypothesis of the experiment that serves as the source of the data to be rejected. The conclusion would be that there is no significant difference between the two sets of data.
On the other hand, when the critical Chi-square value is greater than the calculated value, the null hypothesis is accepted and the conclusion would be that there is no difference between the two sets of data.
More on Chi-square can be found here: https://brainly.com/question/14082240
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