The size of the sampling error is
A) Directly related to the sample size, i.e., the larger the sample size, the larger the sampling error.
B) Directly related to the population mean, i.e., the larger the mean, the larger the sampling error.
C) Inversely related to the sample size, i.e., the larger the sample size, the smaller the sampling error.
D) Inversely related to the population standard deviation, i.e., the smaller the standard deviation, the larger the sampling error.

Question

Quizplus · Accepted Answer

The size of the sampling error is inversely related to the sample size, meaning that the larger the sample size, the smaller the sampling error. This is because larger sample sizes provide more representative data and reduce the impact of chance variations in the sample. The other answer choices are not accurate statements about the size of the sampling error.

The Size of the Sampling Error Is