Multiple choice questions:
1. A sampling distribution is the probability distribution of
a. A population parameter
b. A sample statistic
c. Any random variable
2. Non-sampling errors are
a. The errors that occur because the sample size is too large in relation to the population size
b. The errors made while collecting, recording, and tabulating data
c. The errors that occur because an untrained person conducts the survey
3. A sampling error is
a. The difference between the value of a sample statistic based on a random sample and the value of the corresponding population parameter
b. The error made while collecting, recording, and tabulating data
c. The error that occurs because the sample is too small
4. The mean of the sampling distribution of is always equal to
a. µ
b. µ – 5
c. σ/√n
5. The condition for the standard deviation of the sample mean to be is that
a. np > 5
b. n/N |< .05
c. n > 30
6. The standard deviation of the sampling distribution of the sample mean decreases when
a. x increases
b. n increases
c. n decreases
7. When samples are selected from a normally distributed population, the sampling distribution of the sample mean has a normal distribution
a. If n > 30
b. If n/N < .05
c. All the time
8. When samples are selected from a non-normally distributed population, the sampling distribution of the sample mean has an approximately normal distribution
a. If n < 30
b. If n/N < .05
c. Always
9. In a sample of 200 customers of a mail-order company, 174 are found to be satisfied with the service they receive from the company. The proportion of customers in this sample who are satisfied with the company’s service is
a. .87
b. .174
c. .148
10. The mean of the sampling distribution of is always equal to
a. p
b. µ
c. p̂
11. The condition for the standard deviation of the sampling distribution of the sample proportion to be √pq/n is
a. np > 5 and nq > 5
b. n > 30
c. n/N < .05
12. The sampling distribution of is (approximately) normal if
a. np > 5 and nq > 5
b. n > 30
c. n/N < .05