Aresearcher has recently completed a mail survey for which the response rate was less than 10%. as the returned data from the survey are analyzed, the researcher wonders whether those who responded to the survey may have been somehow significantly different from those who did not respond. and could these differences have skewed the results of the survey?

Yes, the ones who responded are significantly different from the ones who did not respond and it could have skewed the results of the survey as well.

Explanation:

In survey sampling exists something called Non-response bias, occurs when people selected to complete a survey are unable to do it. In some cases, they are too busy, unwilling, or just don't like completing surveys. Indeed, Nonresponse bias usually occurs when the ones who responded are different in many ways from nonrespondents. With a response rate around 10%, the results are not trustworthy, skewing too much the information obtained in the collected surveys.

i go with [ a

prime rate/ credit history apex