In the chi-square 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 significant.
C) difference between the observed and expected frequencies is small.
D) difference between the observed and expected frequencies occurs by chance.
E) None of these statements are correct.

Question

Quizplus · Accepted Answer

The null hypothesis is rejected when the difference between observed and expected frequencies is significant, indicating that the observed data do not fit the expected distribution.

In the Chi-Square Test, the Null Hypothesis (No Difference Between