What is the decision regarding the differences between the observed and expected frequencies if the critical value of the chi-square is 9.488 and the computed chi-square value is 6.079?
A)Fail to reject the null hypothesis; the difference is probably due to sampling error.
B)Reject the null hypothesis.
C)Fail to reject the alternate hypothesis.
D)It is too close; reserve judgment.

Question

Quizplus · Accepted Answer

In this case, the computed chi-square value (6.079) is less than the critical value (9.488). Therefore, we fail to reject the null hypothesis, which means that there is no significant difference between the observed and expected frequencies. The difference is likely due to random sampling error.

What Is the Decision Regarding the Differences Between the Observed