When the sample mean differs from the population mean simply be chance,the error that results is known as:
A) sampling error.
B) response error.
C) nonresponse error.
D) bias.
E) nonsystematic error.

Question

Quizplus · Accepted Answer

When the sample mean differs from the population mean simply be chance, it is due to sampling error. This can occur because a sample of the population is taken, rather than using the entire population. Sampling error is a natural part of statistical analysis and can be minimized by increasing the sample size.

When the Sample Mean Differs from the Population Mean Simply