Answer :
The population generalization in this situation is practically random; the only drawback is that only those who want to participate will participate, thus the sample is likely not randomized, and there are more people who routinely exercise than people who do not exercise.
This scenario is less random than the last one since all of the persons in the sample exercise are on a regular basis, and these people may select whether or not to work with a partner. As a result, the sample is skewed.
Method 1 allows us to infer that the results apply to the entire population, but Method 2 does not allow us to do so since the sample is skewed. Recruit volunteers who are eager to help.
Assign each participant at random to work out with a training partner or alone. Choose a random sample of participants from among those who work out at a neighborhood fitness club. Ask each person in the sample if they have a training partner, and divide the sample into two groups based on their response.
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