When the distribution of characteristics in a sample is systematically different from that of the target population,the sample is called a
A)distorted sample.
B)selected sample.
C)skewed sample.
D)biased sample.

Question

Quizplus · Accepted Answer

When the distribution of characteristics in a sample is systematically different from that of the target population, it is called a biased sample. This means that the sample is not representative of the population and may therefore produce misleading results. Biased samples can result from a variety of factors, including sampling methods, sampling frames, and non-response bias. It is important to ensure that samples are representative of the population in order to draw valid conclusions and make accurate predictions.

When the Distribution of Characteristics in a Sample Is Systematically