The standard deviation is defined as the square root of the variance, so the variance is the same as the squared standard deviation.
Square the standard deviation to obtain the variance. The variance is 62 or 36.
Standard deviation is the square root of the variance; so if the variance is 64, the std dev is 8.
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.
The standard deviation is the square root of the variance.
Standard deviation is the square root of the variance.
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No. The standard deviation is the square root of the variance.
standard costing and variance analysis
Square the standard deviation and you will have the variance.
Yes. If the variance is less than 1, the standard deviation will be greater that the variance. For example, if the variance is 0.5, the standard deviation is sqrt(0.5) or 0.707.
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.