Identify the type of sampling (simple random, stratified, systematic, or cluster
ID: 3128062 • Letter: I
Question
Identify the type of sampling (simple random, stratified, systematic, or cluster) that best describes each of the following cases:
Identify the type of sampling (simple random, stratified, systematic, or cluster) that best describes each of the following cases:
(a) Interviewing ten randomly selected faculty members selected from each grade level at a large school district. (b) Assigning each medical laboratory across the state of Kansas a number and then randomly selecting ten to test all venting hood devices in those selected labs. (c) Compiling an alphabitized list of all family-owned stores in Kansas, then selecting every 10th store on the list.Explanation / Answer
(a) Interviewing ten randomly selected faculty members selected from each grade level at a large school district.- Stratified sampling- In this type of sampling, the population is divided into groups, depending on some characteristic. Then, within each group, a simple random sample is selected. In stratified sampling.
(b) Assigning each medical laboratory across the state of Kansas a number and then randomly selecting ten to test all venting hood devices in those selected labs.
Cluster sampling- In this type of sampling, every member of the population is assigned to one, and only one, group where each group is called a cluster. Now, a sample of clusters is chosen, using a probability method or random sampling method. Here only the individuals within sampled clusters are surveyed.
(c) Compiling an alphabitized list of all family-owned stores in Kansas, then selecting every 10th store on the list.
Systematic Samplng: Here each element has an equal probability of selection, but combinations of elements have different probabilities.
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