In a goodness-of-fit test,the null hypothesis (no difference between sets of observed and expected frequencies)is rejected when the ________.
A)computed chi-square is less than the critical value
B)difference between the observed and expected frequencies is significantly large
C)difference between the observed and expected frequencies is small
D)difference between the observed and expected frequencies occurs by chance

Question

Quizplus · Accepted Answer

The null hypothesis is rejected when the difference between the observed and expected frequencies is significantly large. This is because a larger difference indicates a larger deviation from what would be expected under the null hypothesis, making it less likely that the deviation is simply due to chance. The computed chi-square value and critical value are used to determine the significance of the difference between observed and expected frequencies, but it is the size of this difference that ultimately determines whether the null hypothesis is rejected or not.

In a Goodness-Of-Fit Test,the Null Hypothesis (No Difference Between Sets