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Administrators at Texas A&M University were interested in estimating the percentage of students who are the first in their family to go to college. The A&M student body has about 46,000 members. For each scenario, identify the kind of sample used by the university administrators: i. Select several dormitories at random and contact everyone living in the selected dorms. ii. Using a computer-based list of registered students, contact 200 freshmen, 200 sophomores, 200 juniors, and 200 seniors selected at random from each class. iii. Using a computer-based alphabetical list of registered students, select one of the first 25 on the list by random and then contact the student whose name is 50 names later, and then every 50 names beyond that.

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Simple random sampling uses a sample of size nn in which every sample of size nn has an equal chance of being chosen.

Stratified random sampling draws simple random samples from independent subgroups.

Cluster sampling divides the population into non-overlapping subgroups and some of these subgroups are then in the sample.

Systematic sampling is letting every kkth individual be in the sample (kk an integer).

A voluntary response sample is a sample for which the subjects can decide if they want to be in the sample or not.

Convenience sampling uses a subgroup from the population (that is conveniently chosen).

Multistage sampling are sampling schemes that combine several sampling methods.

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