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.

Question

Quizplus · Accepted Answer

The null hypothesis in a chi-square test is rejected when the difference between the observed and expected frequencies is significant, indicating that the observed differences are unlikely to have occurred by chance alone. This is determined by comparing the computed chi-square value to a critical value from the chi-square distribution table, given a certain level of significance.

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