How does the difference between f_e and f_o 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.

Question

Quizplus · Accepted Answer

The larger the difference between f_e and f_o, the larger the value of chi-square, and the greater the likelihood of rejecting the null hypothesis. This is because a large difference between f_e and f_o indicates that the observed data is not consistent with the expected data under the null hypothesis.

How Does the Difference Between Fe and Fo Influence the Outcome

How Does the Difference Between F_e and F_o Influence the Outcome