They are measures of the spread of distributions about their mean.
1. Standard deviation is not a measure of variance: it is the square root of the variance.2. The answer depends on better than WHAT!
Square the standard deviation and you will have the variance.
The variance or standard deviation.
Standard deviation = square root of variance.
No. Neither the standard deviation nor the variance can ever be negative.
1. Standard deviation is not a measure of variance: it is the square root of the variance.2. The answer depends on better than WHAT!
Standard deviation is the square root of the variance.
standard deviation is the square roots of variance, a measure of spread or variability of data . it is given by (variance)^1/2
No. The standard deviation is the square root of the variance.
Square the standard deviation and you will have the variance.
The variance or standard deviation.
Standard deviation = square root of variance.
The standard deviation is defined as the square root of the variance, so the variance is the same as the squared standard deviation.
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, σ = 13.1 Variance, σ2 = 171.6
Variance isn't directly proportional to standard deviation.
No. Neither the standard deviation nor the variance can ever be negative.