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All right.
00:01
So a college wants to determine how much, how students feel about using a computer and all the classes and how much extra tuition they would be willing to pay for the service.
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And the college has 10 ,000 students and they determine that 500 surveys would be sufficient.
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The type of sampling they used was that they sorted the students according to student number and picked every 20th off the list.
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And we are given three possible choices about what type of sampling this is.
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Cluster, stratified, or systematic.
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Cluster and stratus fighter are similar.
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Cluster sample, the population is divided into groups, and then we randomly select somebody, and all the members from a group or more than one group.
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So, for instance, divide by class, right? so first year, sophomore, junior, senior.
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And then we'll select all the people from one of those groups or maybe two of those groups at random.
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So we'll assign a number to each of them and pick the random, the number randomly, and we'll pick the entire group.
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For stratified, it's very similar.
01:15
We'll divide into groups...