Categorize the type of sampling stratified systematic...

Categorize the type of sampling (stratified, systematic, cluster, or convenience) used in each of the following situations. A researcher chooses 10 zip codes and randomly selects barbershops within each area. Diners exiting a fancy New York restaurant are asked to evaluate the price and cost of their dinner. Looking in the phone book for pediatricians, a mother decides to write down the phone number of every 3rd doctor. A random sample of elementary students, middle school students, high school students, and college students enrolled in Tahlequah schools were selected to partake in a school satisfaction survey.

Transcript

00:01 Before we answer this question, let's talk about the different types of sampling.

00:04 So this one i didn't see on there, but random sampling, that's like probably the best one to use.

00:09 It's where you just randomly select people.

00:12 It's almost like drawing names out of a hat.

00:15 Systematic sampling is a little bit easier to do.

00:19 Then random sampling, it's like if you have a long list of, let's say, like, people to choose from, you just say, like, i'm going to take every fifth person and look at the results.

00:29 Convenience sampling is probably the worst and that's because you're just only going based off of like who can you run into so like if you're surveying people you just go in this one spot and you survey everybody there but of course that's going to create bias cluster sampling is where you divide a population into groups or clusters and then you pick people from each of those clusters usually those are divided up based on where people are so geographically versus stratified sampling is kind of the same idea where you split everyone up into groups pick from those groups but these groups are going to be split up by some characteristic not based on geographic so like maybe splitting up men and women in a survey and a study and then picking a couple women and a couple men from the group something like that so here we're trying to figure out if this is going to be stratified, systematic, cluster, or convenience sampling.

01:39 So first of all, a researcher chooses 10 zip codes and randomly selects barbershops within that area.

01:46 So here we're picking a couple of different areas, which are sorted based on geographics, and then selecting from within those groups.

01:55 So that is going to be cluster sampling because it's based on location.

02:11 Then we have diners exiting a fancy new york restaurant or asked to evaluate the price and the cost of their dinner.

02:20 Okay, so we're not breaking anyone into groups, so automatically we know it's not going to be cluster or stratified.

02:26 It's not random.

02:28 It's not systematic because we're not asking like every fifth person...

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