It takes a slightly __________ sample mean to get a significant result when using a t distribution than when using a normal curve.
A)more negative
B)less extreme
C)more extreme
D)more exact

Question

Quizplus · Accepted Answer

This is because the t distribution has thicker tails than the normal curve, which means that it is more spread out and has more variability. As a result, it is less likely to reject the null hypothesis and obtain a significant result unless the sample mean is more extreme than it would need to be with a normal curve.

It Takes a Slightly __________ Sample Mean to Get a Significant