When using chi-square goodness of fit test with multinomial probabilities,the rejection of the null hypothesis indicates that at least one of the multinomial probabilities is not equal to the value stated in the null hypothesis.

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This statement is true. The chi-square goodness of fit test is used to determine whether the observed frequencies of categorical data fit the expected frequencies based on a specified multinomial distribution. If the null hypothesis is rejected, it means that the observed frequencies are significantly different from the expected frequencies, indicating that at least one of the multinomial probabilities is not equal to the supposed value specified in the null hypothesis.

When Using Chi-Square Goodness of Fit Test with Multinomial Probabilities,the