Sampling For each of the following, identify the term that bes...

Question

Sampling For each of the following, identify the term that best describes the type of sample: systematic, convenience, stratified, cluster, or simple random sample.

b. To test for a gender difference in the way that men and women make online purchases, Gallup surveys 500 randomly selected men and 500 randomly selected women.

Accepted Answer

All right, hi everyone. So this question is asking us to identify the term that best describes the type of sample in the following example. To analyze potential differences in study habits between undergraduate and graduate students, a university randomly surveys 300 undergraduate students and 300 graduate students. Option A says systemic sampling or sorry, systematic. Option B says convenience sampling. She says stratified sampling. D says cluster sampling, and E says simple random sample. So before we talk about the specific scenario at hand here, let's take a moment to define each of the answer choices, which of course represent a different type of sampling. Starting off, for example, with systematic sampling, systematic sampling, if you recall. Involves selecting every nth individual. From a given list or a given group of people. So an example would be if you gathered 100 people and selected every 5th person for the survey, that would be an example of systematic sampling. Now, convenience sampling, on the other hand, is about ease of access. So, rather, the main focus in convenience sampling is gathering people. That are readily available to you. An example of this would be, for example, people are going to a public space and having people approach you to volunteer to be part of the survey. Another example is stratified sampling. Now, the key word for stratified sampling is strata. And strata refers to in this context, subgroups of people. So if you have a larger population that you want to study, you would divide that population into subgroups known as strata, and sample from each subgroup. Cluster sampling on the other hand. Involves selecting entire groups of people as opposed to having individuals answer the survey, for example. And last but not least, we have simple random sampling. Where every single person has an equal chance of getting selected or an equal probability of getting selected for the survey. So now let's go back to the scenario at hand here, right? The specific survey. I gathering information from undergraduate students and graduate students. And so, the greater population in this example is students, right? And so the greater population has now been divided into two distinct groups based on the level of education that they're seeking. That is, the population has been divided into subgroups, specifically undergraduate and graduate. And from there Individual people from each subgroup are selected for the survey. So therefore This matches the definition of stratified sampling. Meaning that option C is the correct answer. And there you have it. So with that being said, thank you so very much for watching, and I hope you found this helpful.

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Key Concepts

Stratified Sampling

Random Selection

Sampling Bias

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