Question

You really want to accurately gauge the average GPA at each type of college. You want to ensure that you have the same number of participants from each type of college. To select your sample of 1000 students, you compile a list of the names of all the students at 2-year colleges, print each name on a slip of paper and put all the paper slips in a hat. You draw out 500 names. You then compile a list of the names of all the students at 4-year colleges, print each name on a slip of paper and put all the paper slips in a hat. You draw out 500 names.

What sort of sampling technique are you using now?

a. | quota sampling |

b. | stratified random sampling |

c. | simple random sampling |

d. | multistage sampling |

e. | convenience sampling |

f. | cluster sampling |

I'm confused if whether it is multistage or statified random sampling, please explain.

Answer #1

Ans.(b) **Stratified random sampling**

Stratified random sampling is defined as the sampling in which a population is divided into subgroups or strata, and then simple random samples are drawn from each stratum. It should be kept in consideration while planning a stratum that the members in each of the stratum have similar attributes and characteristics.

Multistage sampling refers to a type of sampling in which the population is divided into groups or clusters. Then, out of all the clusters, one or more clusters are chosen at random and everyone within the chosen cluster is sampled. It is also called cluster sampling. When the geographical area of the study is vast then this kind of sampling is undertaken such as presidential candidate choices of the people of USA.

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