MR QUIZ 13

Entire group of people about whom information is needed for your research is the definition of:

• Sample
• Population of interest
• Group of study
• Research group

Each population member has an equal opportunity of being selected from the sampling frame is the definition of:

• Simple Random Sampling
• Systematic Sampling
• Stratified Sampling
• Cluster Sampling

A sampling frame is:

• A list of members of the population used to select a sample.
• A list of elements included in the sample.
• Usually provides biased statistics.
• Is a form of non-probability sampling.

The selection of every tenth subscriber to the New York Times is an example of:

• Systematic sampling
• Judgmental sampling
• Stratified sampling
• Random sampling

A researcher is doing a study on champagne consumption. She has defined three different subgroups based on income and has assigned interviewers a minimum number of interviews with respondents in each subgroup. This is an example of:

• Quota sampling
• Convenience sampling
• Snowball sampling
• Cluster Sampling

This is a form of nonprobability sampling where each respondent is asked to identify one or more others in the field:

• Quota sampling
• Convenience sampling
• Snowball sampling
• Cluster Sampling

A census is appropriate when:

• Population size is quite small, Information is needed from every individual in the population, Sampling errors are high
• Population size is quite small, Information is needed from every individual in the population, Cost of making an incorrect decision is low
• Cost of making an incorrect decision is low, Population size is quite small, Sampling errors are high
• Sampling errors are high, Cost of making an incorrect decision is low, Information is needed from every individual in the population

What is (are) the advantage(s) that probability sampling has over nonprobability sampling?:

• It permits the researcher to demonstrate the sample’s representativeness.
• It allows an explicit statement as to how much variation is introduced.
• It makes possible the more explicit identification of possible biases.
• All of the above

A sample is appropriate when:

• Population size is large, Quick decision is not needed, Population being dealt with is homogeneous
• Quick decision is not needed, Population being dealt with is homogeneous, If census is impossible
• If census is impossible, Quick decision is not needed, Population size is large
• Population size is large, Population being dealt with is homogeneous, If census is impossible

The size of interval estimate depends on:

• Confidence level, sample size
• Population mean, sample size
• Sample size, expected variance
• Expected variance, confidence level