How does the difference between fe and fo influence the outcome of a chi-square test?
a. The larger the difference, the larger the value of chi-square and the greater the likelihood of rejecting the null hypothesis.
b. The larger the difference, the larger the value of chi-square and the lower the likelihood of rejecting the null hypothesis.
c. The larger the difference, the smaller the value of chi-square and the greater the likelihood of rejecting the null hypothesis.
d. The larger the difference, the smaller the value of chi-square and the lower the likelihood of rejecting the null hypothesis.
A
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