Chapter 6—Data collection and sampling
MULTIPLE CHOICE
1. When every possible sample of size n has the same chance of being selected, this is called:
stratified random sampling.
2. When the population is divided into mutually exclusive sets, and then a simple random sample is
drawn from each set, this is called:
stratified random sampling.
3. Which of the following is an example of nonsampling errors?
Errors that arise from the recording of incorrect responses.
Errors that arise when responses are not obtained from some members of the sample.
Errors that arise when some members of the target population cannot possibly be selected
in the sample.
All of the above are examples of nonsampling errors.
4. The difference between a sample standard deviation and the population standard deviation is called:
5. A professor of economics intends to compare the performances of first year students at the four
campuses of the university. In order to do so, she selects a random sample 40 students from each
campus. What is this type of sampling called?
Stratified random sampling.
6. Which of the following does not characterise stratified random sampling?
The population is divided into strata that are distinct.
The population is divided into strata that are mutually exclusive and exhaustive.
The population is divided into strata that are homogenous.
Nonrandom sampling is used.