Sampling error refers to the
A) difficulty in accurately measuring results that are incalculable.
B) differences between a group of experimental subjects and the population as a whole.
C) experimental results that do not support the hypothesis being tested.
D) intentional biases on the part of researchers.

Question

Quizplus · Accepted Answer

Sampling error refers to the differences between the sample used in an experiment and the larger population from which it was drawn. It can arise due to various reasons such as selection bias, random chance, and variation in the sample characteristics. It is not related to measuring incalculable results, experimental results supporting or not supporting a hypothesis, or intentional biases on the part of researchers.

Sampling Error Refers to the