"Variance" and "Standard deviation" are numbers that describe a set of data
that typically contains several numbers. Applied to a single number, neither
of them has any meaning.
-- The variance, standard deviation, and mean squared error of 7 are all zero.
-- The mean, median, mode, average, max, min, RMS, and absolute value of 7 are all 7 .
None of these facts tells you a thing about ' 7 ' that you didn't already know
as soon as you found out that it was ' 7 '.
Variance = 17.9047619 Standard Deviation = 4.23140188
5.142857143 is the mean.12.43956044 is the variance.3.526976104 is the standard deviation.
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.
Variance = 17.9047619 Standard Deviation = 4.23140188
Standard deviation is the square root of the variance.
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5.142857143 is the mean.12.43956044 is the variance.3.526976104 is the standard deviation.
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