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.
