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 the observed and expected values (f_e and f_o respectively), the larger the value of chi-square. A larger chi-square value indicates a greater deviation from the expected values and increases the likelihood of rejecting the null hypothesis. Therefore, the best choice is A.

How Does the Difference Between Fe and Fo Influence the Outcome

How Does the Difference Between F_e and F_o Influence the Outcome