When two samples are drawn from the same population,there may occur,when the sample statistics differ.
A) coverage error
B) statistical bias
C) dual error
D) sampling variability
E) generalizability

Question

Quizplus · Accepted Answer

When two samples are drawn from the same population, the differences in the sample statistics can be due to sampling variability, which refers to the natural variation that occurs due to random sampling. This variability can cause the samples to have different means, standard deviations, proportions, or other statistics despite being drawn from the same population. Therefore, option D, sampling variability, is the best choice to explain this situation. The other options are not relevant, as coverage error refers to problems with survey coverage, statistical bias refers to systematic errors in sampling or measurement, dual error is not a statistical term, and generalizability refers to the extent to which results can be applied to other populations or contexts.

When Two Samples Are Drawn from the Same Population,there May