In general, to determine whether to accept or reject the null hypothesis based on the critical value and test statistic, we compare the absolute value of the test statistic to the critical value. If the absolute value of the test statistic is greater than the critical value, we reject the null hypothesis. If the absolute value of the test statistic is less than or equal to the critical value, we fail to reject the null hypothesis [2]-[7].

**For item 24**, we fail to reject the null hypothesis because the computed $t$ value of $1.89$ is less than the critical value of $12,093$ [2],[5].

**For item 25**, the null hypothesis can be rejected because the computed $z$ value of $2.350$ is greater than the critical value of $2.326$ [4],[7].