Identifying Sampling Techniques In Exercises 23-30, identify the sampling techni

Question

Identifying Sampling Techniques In Exercises 23-30, identify the sampling technique used, and discuss potential sources of bias lif any). Explain. 23. Using random digit dialing, researchers call 1400 people and ask what 24. Chosen at random, 500 rural and 500 urban people age 65 or older are asked 25. Questioning students as they leave a university library, a researcher asks 26. After a hurricane, a disaster area is divided into 200 equal grids. Thirty of the obstacles (such as childcare) keep them from exercising. about their health and their experience with prescription drugs. 358 students about their drinking habits. grids are selected, and every occupied household in the grid is interviewed to help focus relief efforts on what residents require the most. 27. Chosen at random, 580 customers at a car dealership are contacted and asked their opinions of the service they received.

Explanation / Answer

23. Here, 1400 people are randomly selected. Therefore, it is an example of SIMPLE RANDOM SAMPLING.

24. Here, the samples are selected by two strata, therefore, it is an example of STRATIFIED RANDOM SAMPLING.

25. Here, the researcher selects the sample on his convenience, therefore it is an example of convenience sampling. This has a source of bias as the students might not represent the opinion on the entire population about the drinking habits.

26. Here, the 200 grids are nothing but the cluster, therefore, it is an example of CLUSTER SAMPLING.

27. 580 customers are chosen at random, therefore, it is an SIMPLE RANDOM SAMPLING.

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