If each individual in the population is equally likely to be included in the sample, the sample is called a • A. equalized sample. • B. stratified sample. • C. repeated measure design. • D. random sample. I am not sure why the answer is not A- equalized sample. In Munro p.13 it states, “In equal random sampling, each person in the population has the same probability of being chosen to be in the sample.” Random sampling has a different definition wherein each individual is chosen entirely by chance
Correct Answer is Random sample because in random sampling, each individual is chosen entirely by chance, thus providing equal chances of being selected in the sample.
Random sampling is independent and free from biasing, thats why each individual in the population is equally likely to be included in the sample.
equalized sample is not correct answer because it is similar to the stratified sampling, but each of the sample has the equal or same sample size. It includes dividing the population into subparts and then doing the selection process.
So, best answer is random sampling
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