Standard error
A) should be avoided.
B) is a standard deviation.
C) is due to mistakes made while collecting data.
D) has to be deducted from the standard deviation.

Question

Quizplus · Accepted Answer

The standard error is NOT a mistake made while collecting data, but rather a measure of the variation of sample means. It is calculated by dividing the standard deviation by the square root of the sample size. Therefore, it is related to the standard deviation, but not the same thing. It is an important statistical concept in inferential statistics, as it helps researchers determine how likely it is that a difference between two groups is due to chance or to a real difference in the population.

Standard Error