What will you have if there is no difference between sample and population values?
A)a high sampling error
B)a low but positive sampling error
C)no sampling error
D)It cannot be determined.

Question

Quizplus · Accepted Answer

If there is no difference between sample and population values, it means that the sample is a representative subset of the population and the estimates derived from the sample can be considered accurate and unbiased. This situation indicates that there is no sampling error, which is the extent to which the sample statistics differ from the population parameters due to chance variability. Therefore, C is the correct answer. A and B are incorrect because they suggest that there is sampling error, which contradicts the assumption that there is no difference between the sample and the population. D is incorrect because the answer can be determined based on the given information.

What Will You Have If There Is No Difference Between