The sample of participants must represent the entire population of the world in order to be considered unbiased.

Truth:

Researchers define their own target population and it can be large or small. For example, "all kinesiology seniors at SF State" is smaller than "all kinesiology majors in the US", but both could be a target population defined by researchers. 

Researchers define their own target population based on many factors. 

With that in mind, their sample must represent their target population. If it doesn't, it is considered a biased sample in this context. In other words, a biased sample does not accurately represent the target population and will provide inaccurate information. 

Question:

What is one method for selecting an unbiased sample?

Select one:

a. Using a sample of convenience

b. Using volunteerism

c. Using a simple random sample

d. Using cluster sampling

Answer rating: 100% (QA)

Ans c Using a simple random sample is the method for selecting an unbiased sample A simple random s... View the full answer