A university surveys its student-athletes about their experience in college sports. The survey only includes student-athletes with scholarships. What type of bias does this scenario describe?

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Multiple Choice

A university surveys its student-athletes about their experience in college sports. The survey only includes student-athletes with scholarships. What type of bias does this scenario describe?

The main idea is that who you include in a survey shapes the results. By surveying only student-athletes with scholarships, the sample excludes non-scholarship athletes who might have different experiences. That makes the gathered data unrepresentative of all student-athletes, introducing bias through the sampling process. This is a sampling bias because the way the sample is chosen leads to results that can’t generalize to the whole population of student-athletes. Nonresponse bias would involve differences between those who respond and those who don’t, which isn’t the issue here. Measurement bias would come from errors in how data are collected, not from who is chosen for the survey.

The main idea is that who you include in a survey shapes the results. By surveying only student-athletes with scholarships, the sample excludes non-scholarship athletes who might have different experiences. That makes the gathered data unrepresentative of all student-athletes, introducing bias through the sampling process. This is a sampling bias because the way the sample is chosen leads to results that can’t generalize to the whole population of student-athletes. Nonresponse bias would involve differences between those who respond and those who don’t, which isn’t the issue here. Measurement bias would come from errors in how data are collected, not from who is chosen for the survey.

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