An increase in the sample size has the effect of decreasing the sampling error if the:
A) actual sample deviation rate does not increase.
B) number of deviations in the sample does not increase.
C) actual sample deviation rate increases.
D) number of deviations in the sample increases.

Question

Quizplus · Accepted Answer

Increasing the sample size helps to provide a more accurate representation of the entire population. As long as the actual sample deviation rate does not increase, increasing the sample size will reduce the sampling error. This is because a larger sample tends to provide a more accurate estimate of the true population value, which in turn reduces the potential for random sampling errors to distort the results. B and D are incorrect because the number of deviations in the sample does not necessarily have an impact on the sampling error. C is incorrect because if the actual sample deviation rate increases, this can actually increase the sampling error, regardless of sample size.

An Increase in the Sample Size Has the Effect of Decreasing