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Questions 21 – 23. No work or explanation required unless specifically asked for

ID: 3181131 • Letter: Q

Question

Questions 21 – 23. No work or explanation required unless specifically asked for.

21. What type of sampling is represented by the following scenario?

Citibank wants to survey its employees. 25 branches are randomly selected and all of the employees in those branches are given the survey.

22. What type of sampling is represented by the following scenario?

From a list of all Walmart employees, the research staff divides the list into full-timers and part-timers and randomly selects a sample of 500 from each group.

23. What type of sampling is represented by the following scenario?

A researcher goes to a large company’s office building and interviews all employees who are in the lunchroom between 12 and 2 pm.

21. What type of sampling is represented by the following scenario?

Citibank wants to survey its employees. 25 branches are randomly selected and all of the employees in those branches are given the survey.

22. What type of sampling is represented by the following scenario?

From a list of all Walmart employees, the research staff divides the list into full-timers and part-timers and randomly selects a sample of 500 from each group.

23. What type of sampling is represented by the following scenario?

A researcher goes to a large company’s office building and interviews all employees who are in the lunchroom between 12 and 2 pm.

Explanation / Answer

21) is an example of cluster sampling. In cluster sampling we divide the population into sections, and choose from those clusters, and in those clusters choose the members.

22) is Stratified Random Sampling

In this form of sampling, the population is first divided into two or more mutually exclusive segments based on some categories of variables of interest in the research. It is designed to organize the population into homogenous subsets before sampling, then drawing a random sample within each subset.

23) is Availability Sampling

Availability sampling is a method of choosing subjects who are available or easy to find. This method is also sometimes referred to as haphazard, accidental, or convenience sampling. The primary advantage of the method is that it is very easy to carry out, relative to other methods