When we find any discrepancy between the assumed independence of variables in a population and the observed distribution of sample elements,we can explain that discrepancy how?
A) we attribute the discrepancy to the nonprobability sample alone
B) the discrepancy can be the result of poor data collection
C) we attribute the discrepancy to an unrepresentative sample causing us to reject the assumption of independence
D) we attribute the discrepancy to poor sample selection and to poor operational definitions of the main variables

Question

Quizplus · Accepted Answer

When we observe a discrepancy between the assumed independence of variables in a population and the distribution of sample elements, we can attribute the discrepancy to an unrepresentative sample causing us to reject the assumption of independence. This is because our assumption of independence is based on the assumption that the sample is representative of the population. If the sample is not representative, then our assumption may not hold true.

When We Find Any Discrepancy Between the Assumed Independence of Variables