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Statistics and Probability

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Rejection Rule of Goodness-of-Fit Test

STATS-QBLXBA

In a goodness-of-fit test, the null hypothesis (no difference between sets of observed and expected frequencies) is rejected when:

A

the computed chi-square is less than the critical chi-square value.

B

the computed chi-square is greater than the critical chi-square value.

C

the difference between the observed and expected frequencies is small.

D

the difference between the observed and expected frequencies occurs by chance.