When the standard deviation of the entire distribution of random sample means had been calculated, the resulting value is called
A) the deviation score
B) the parameter mean
C) the standard error of the mean
D) sampling error

Question

Quizplus · Accepted Answer

The standard deviation of the entire distribution of random sample means is called the standard error of the mean. This is an important measure in inferential statistics as it helps us understand the degree of variability that we can expect when estimating population parameters from a sample. The other options (A) deviation score, (B) parameter mean, and (D) sampling error, do not accurately describe this measure.

When the Standard Deviation of the Entire Distribution of Random