Question 1198180: Joe is looking for samples for his study. He makes a list of 500 randomized students on campus and decides to call every 10th student to take his survey. What type of sampling is this described as? Choose one of the following
A) accidental sampling
B) stratified sampling
C) simple random sampling
D) systematic sampling
Answer by math_tutor2020(3817)   (Show Source):
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Answer: D) systematic sampling
Explanation:
As the name "systematic" implies, Joe is using a specified rule or structure needed to select each person. In this case, he selects every 10th person.
Choice A is ruled out because accidental sampling refers to situations when Joe selects those easiest or closest to him. This is also known as "convenience sampling". This form of sampling is heavily biased. It should be avoided at all times.
Stratified sampling is when you split the people into non-overlapping groups, and then select a proportional number of people from each group.
For example, if the ratio of girls to boys is 3:1, then Joe should survey three times as many girls compared to boys.
This form of sampling guarantees that no group is left out, and that none of the groups are either under-represented or over-represented.
Simple random sampling (SRS) is where he'll pull names at random out of a hat, or generate random numbers using a random number table or computer.
Another way to generate random numbers is to look at things in nature that occur randomly such as wind patterns.
Because of what is discussed in the previous two paragraphs does not fit the method Joe is using, we can rule out choices B and C.
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