Which of the following types of samples should not be used to make good statistical inferences from ...

Which of the following types of samples should not be used to make good statistical inferences from a sample to a population?
a. Stratified random samples.
b. Self-selected samples.
c. Cluster samples.
d. All of these choices are true.

Q. 2

The difference between a sample mean and the population mean is called:
a. nonresponse error.
b. selection bias.
c. sampling error.
d. nonsampling error.

Q. 3

Which of the following types of samples is almost always biased?
a. Simple random samples.
b. Stratified random samples.
c. Cluster samples.
d. Self-selected samples.

Q. 4

When the population is divided into mutually exclusive sets, and then a simple random sample is drawn from each set, this is called:
a. simple random sampling.
b. stratified random sampling.
c. cluster sampling.
d. selection bias.

Q. 5

A pharmaceutical company interested in measuring how often physicians prescribe a certain drug has selected a simple random sample from each of two groups: M.D. (Medical Doctors) and D.O. (Osteopaths). What is this type of sampling called?
a. Simple random sampling.
b. Cluster sampling.
c. Stratified random sampling.
d. None of these choices.

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Which of the following types of samples should not be used to make good statistical inferences from ...

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