Of the values for a chi-squared test statistic listed below, which one is most likely to lead to rejecting the null hypothesis in a goodness-of-fit test?
A)0
B)0.05
C)1.96
D)45

Question

Quizplus · Accepted Answer

The larger the chi-squared value, the more likely it is to reject the null hypothesis. A value of 0 indicates an exact fit between the observed and expected values, which would not lead to rejecting the null hypothesis. A value of 0.05 is not necessarily significant and would depend on the degrees of freedom and level of significance chosen. A value of 1.96 is only significant at a 5% level of significance and may or may not lead to rejecting the null hypothesis depending on the degrees of freedom. A value of 45 is very large and would lead to rejecting the null hypothesis in favor of the alternative hypothesis at a high level of significance.

Of the Values for a Chi-Squared Test Statistic Listed Below