The square of the standard deviation is called the variance. That is because the standard deviation is defined as the square root of the variance.
Standard deviation
The standard error is the standard deviation divided by the square root of the sample size.
The standard deviation of a normal deviation is the square root of the mean, also the square root of the variance.
Standard deviation = square root of variance.
No. The standard deviation is the square root of the variance.
Square the standard deviation and you will have the variance.
is variance the square of the standard deviation
Standard deviation = square root of variance.
Standard deviation is the square root of the variance.
No, you have it backwards, the standard deviation is the square root of the variance, so the variance is the standard deviation squared. Usually you find the variance first, as it is the average sum of squares of the distribution, and then find the standard deviation by squaring it.
Standard deviation is the square root of the variance. Therefore, the standard deviation is the sqrt 36 or 6.
The variance