Name the sampling method that best describes each situation....

Name the sampling method that best describes each situation. Choose your answer from the following (A) simple random sampling, (B) convenience sampling, (C) quota sampling, (D) stratified sampling, (E) census. (a) George wants to know how the rest of the class did on the last quiz. He peeks at the scores of a few students sitting right next to him. Based on what he sees, he concludes that nobody did very well. (b) Eureka High School has 400 freshmen, 300 sophomores, 300 juniors, and 200 seniors. The student newspaper conducts a poll asking students if the football coach should be fired. The student newspaper selects 20 freshmen, 15 sophomores, 15 juniors, and 10 seniors for the poll. (c) For the last football game of the season, the coach chooses the three captains by putting the names of all the players in a hat and drawing three names. (Maybe that's why they are trying to fire him!) (d) For the last football game of the season, the coach chooses the three captains by putting the names of all the seniors in a hat and drawing three names.

Name the sampling method that best describes each situation. Choose your answer from the following
(A) simple random sampling, (B) convenience sampling,
(C) quota sampling, (D) stratified sampling, (E) census.
(a) George wants to know how the rest of the class did on the last quiz. He peeks at the scores of a few students sitting right next to him. Based on what he sees, he concludes that nobody did very well.
(b) Eureka High School has 400 freshmen, 300 sophomores, 300 juniors, and 200 seniors. The student newspaper conducts a poll asking students if the football coach should be fired. The student newspaper selects 20 freshmen, 15 sophomores, 15 juniors, and 10 seniors for the poll.
(c) For the last football game of the season, the coach chooses the three captains by putting the names of all the players in a hat and drawing three names. (Maybe that's why they are trying to fire him!)
(d) For the last football game of the season, the coach chooses the three captains by putting the names of all the seniors in a hat and drawing three names.

Key Concepts

Simple Random Sampling

A sampling method where every member of the population has an equal chance of being selected, often implemented through randomization techniques like drawing names from a hat or using random number generators.

Convenience Sampling

A non-probability sampling technique where samples are taken from a group or population that is conveniently accessible to the researcher, without employing random selection methods.

Quota Sampling

A non-probability sampling method in which the researcher ensures that certain characteristics or proportions of the population are represented within the sample by setting quotas, then selecting samples that meet these quotas.

Stratified Sampling

A probability sampling technique that involves dividing the population into distinct subgroups or strata and then randomly selecting samples from each subgroup in proportion to their representation in the overall population.

Census

A data collection method in which information is gathered from every member of the population, as opposed to selecting a subset of the population for analysis.

Transcript

00:02 Okay, so for this question, we're basically going to look at a few of these examples and decide whether, which type of random sampling or sampling that it is.

00:12 So to start off, we'll look at each of these things and let's find out the definition.

00:17 So a census is when you try to get a sample from the entire population, so something like the u .s.

00:23 Census.

00:24 So that's pretty simple.

00:25 And simple random sampling is also really simple.

00:27 It is when you take a population and you randomly select your individuals for sampling, simply just through some randomizer.

00:37 And the next one is quota sampling, which is where basically take your entire population, you split it into subsets, which is called stratification, and then from each of those subsets, you have a certain quota that you have to meet, so you select your individuals based on that quota.

00:56 The next one is stratify.

00:58 Sampling which is sort of similar to quota sampling where you take your population by then stratified subsets and then from there you apply simple random sampling to your subset in order to get your individuals for testing so it's a little bit different than quota sampling and the final one is called convenient sampling have an entire population and you're only looking at the individuals that are closest to you or most convenient for you to sample so now let's move to some of the examples.

01:29 So the first one you see here that basically george wants to know how the rest of the class did on the quiz.

01:34 So he looks at the scores of a few students sitting right next to him.

01:39 So that's really important to know in this question because students sitting right next to him.

01:45 He's sampling based off of convenience.

01:48 Convenience factor is what he's using to choose as individuals.

01:53 He's not randomly selecting students in the entire class.

01:56 He's just looking at the few students who are actually right next to it.

02:00 So because of that, this example is actually going to be convenient.

02:08 Convenience.

02:10 So that's the answer for that one.

02:12 Now let's go to the next one.

02:14 And this one, basically they're saying the high school has this many freshmen, sophomores, juniors, and seniors, and the newspaper, student newspaper wants to conduct a poll.

02:23 So they select 2015, 15, and 10 of freshman, sophomore, seniors, and seniors, for the poll.

02:30 So at first, this might look like stratified sampling since they split into stratification, but remember, they're not actually randomly selecting.

02:38 They're selecting a set number from each.

02:42 So that basically means they're trying to meet a quota...

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