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"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 '.

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Q: What is the variance and standard devation of 7?
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Related questions

What is the variance and standard deviation of 4 7 2 7 9 10 15?

Variance = 17.9047619 Standard Deviation = 4.23140188


What is the relationship between standard deviation and variance?

Standard deviation is the square root of the variance.


How is standard costing variance interrelated?

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What is the mean variance and standard deviation for the numbers 2 4 8 2 9 1 7 11 4 7 1 10 1 5?

5.142857143 is the mean.12.43956044 is the variance.3.526976104 is the standard deviation.


Can standard deviation be larger then its variance?

No. The standard deviation is the square root of the variance.


Standard Costing Vs Variance Analysis?

standard costing and variance analysis


How do you calculate variance given standard deviation?

Square the standard deviation and you will have the variance.


Can the Variance ever be smaller than standard deviation?

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.


How do you calculate standard deviation if I know variance?

Standard deviation = square root of variance.


Is the variance of a group of scores the same as the squared 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.


Is variance the square root of 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 is 13.1 What is the variance?

Standard deviation, σ = 13.1 Variance, σ2 = 171.6