For the chi-square goodness-of-fit test,the null hypothesis is rejected whenever:
A) the calculated chi-square statistic is less than the critical value.
B) the calculated chi-square statistic is equal to the critical value.
C) the calculated chi-square statistic is greater than the critical value.
D) the calculated chi-square statistic is not equal to the critical value.

Question

Quizplus · Accepted Answer

The calculated chi-square statistic measures the difference between the observed and expected frequencies. If this calculated value is greater than the critical value obtained from the chi-square distribution table, we can reject the null hypothesis and conclude that there is a significant difference between the observed and expected frequencies, meaning the data doesn't fit the expected distribution. Therefore, when the calculated chi-square statistic is greater than the critical value, the null hypothesis is rejected.

For the Chi-Square Goodness-Of-Fit Test,the Null Hypothesis Is Rejected Whenever