1. Which sample size gives a sinaller standard error of the mean according to Central
Limnit theorem?
A 10
B. 15
C. 25
D. 35
2. The Central Limit Theorem says that the sampling distribution of the sample
mean is approximately normal if
A. the sample size is large.
B. all possible sample are selected.
c. the standard error of the sampling mean is small,
D. none of the above.
3. The mean of the sampling distribution of the sample means according to the
Central Limit Theorem is
A exactly equal to the population mean.
B. close to the population mean if the sample size is large.
C. equal to the population mean divided by the square of the sample size
D. cannot be determined.
4. The standard deviation of the sampling distribution of the sample means
according to the Central Limit Theorem is
A exactly equal to the standard deviation.
B. close to the population standard deviation iſ the sample size is large
C. equal to the population standard deviation divided by the square root of the
sample size
D. cannot be determined
5. Samples of size 25 are selected from a population with a mean of 40 and a
standard deviation of 7.5. What is the mean of the sampling distribution of
sample means?
B. 8
C. 25
D40
6. Samples of size 25 are selected from a population with a mean of 40 and a
standard deviation of 7.5. What is the standard error of the sampling distribution
of sample means?
A. 0.3
B. 1.5
C 7.5
D. 8​