The following 2 questions q32 to q33 are based on the

The following 2 questions (Q32 to Q33) are based on the following situation:
The national average for the verbal section of the Graduate Record Exam (GRE) is 500
with a standard deviation of 100. A researcher uses a sampling distribution made up of samples
of 100.
Q32: According to the Central Limit Theorem, what is the mean of the sampling distribution of
means?
A. 10
B. 50
C. 100
D. 500
Q33: According to the Central Limit Theorem, what is the standard error of the mean? Q34: As you increase the number of subjects in your sample, the calculated
value of a t-test will
Q35: As you decrease the true distance between the null and alternative hypotheses
(μ
1
– μ
0
), the likelihood of rejecting the null hypothesis
Q36: Keeping everything else the same, if you were to decrease your alpha level
from .05 to .01, the likelihood of rejecting the null hypothesis
A. increases
B. decreases
C. remains the same
The following 4 questions (Q37 to Q40) are either “True” or “False”
Q37: The single-most critical component of deciding whether you are to conduct a t-test versus
a z- test for hypothesis testing is whether there is a ‘  ’.
Q38: Predicting the characteristics of an entire group, after having measured a small group, is
the major goal of inferential statistics.
Q39: Degrees of freedom for a single sample z- test is/are ‘n - 1’.
Q40: Degrees of freedom for a single sample t- test is/are ‘n - 1’.