A t test value that is larger than the tabled value of t
A) leads to rejection of the null hypothesis
B) has a probability less than $\alpha$, if the null hypothesis is true
C) both of the descriptive alternatives are correct
D) neither of the descriptive alternatives is correct.

Question

Quizplus · Accepted Answer

A t-test value larger than the tabled value indicates that the observed data are significantly different from what would be expected under the null hypothesis, leading to its rejection (A). This also means the probability of observing such a result, or more extreme, if the null hypothesis were true is less than the significance level (usually 0.05), supporting option (B). Therefore, both A and B are correct descriptions of the implications of a t-test value larger than the tabled value.

A T Test Value That Is Larger Than the Tabled α\alphaα

A T Test Value That Is Larger Than the Tabled $\alpha$