The standard error is defined as the square root of this computation.
A) The sample variance divided by the total number of sample instances.
B) The population variance divided by the total number of sample instances.
C) The sample variance divided by the sample mean.
D) The population variance divided by the sample mean.

Question

Quizplus · Accepted Answer

The formula for standard error is the sample standard deviation divided by the square root of the sample size (n). The sample standard deviation is the square root of the sample variance, which is the sum of the squared deviations from the mean divided by (n-1). Therefore, the standard error is the square root of the sample variance divided by (n-1), which is the same as the sample variance divided by n.

The Standard Error Is Defined as the Square Root of This