Question 1194537: Researcher chooses the sample from the entire population through a randomization technique, such as drawing names from a hat.
A. Convenience Sample B. Voluntary Response Sample C. Simple Random Sample D. Stratified Random Sample
Answer by math_tutor2020(3816)   (Show Source):
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Answer: Simple random sample (choice C)
It's not a trick question, even if it might appear to be.
The researcher is applying a random process to select the people to form the sample. There's not much else to it.
Extra info:- Convenience sampling involves picking the easiest members available. Example: Selecting the first 10 people that walk through the front door. This type of sampling is likely to be very biased and should be avoided as much as possible.
- A voluntary response sample is when the participants choose, rather than the researchers, to form the sample. This likely leads to voluntary response bias, so it's best to avoid it if possible
- A stratified random sample is when we break the population into subsets that don't overlap (hence they are mutually exclusive or disjoint). Then we select representative members from each subgroup. Unlike the others, there isn't much bias because we ensure that each subgroup is represented. Example: select 10 people from each of the 50 states (total sample size = 10*50 = 500)
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