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If the variance is 846, then the standard deviation is 29.1, the square root of 846.

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Q: What is the standard deviation of a variance of 846?
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Related questions

What is the relationship between standard deviation and variance?

Standard deviation is the square root of the variance.


Can standard deviation be larger then its variance?

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


How do you calculate variance given standard deviation?

Square the standard deviation and you will have the variance.


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


Is variance directly proportional to standard deviation?

Variance isn't directly proportional to standard deviation.


Can standard deviation and variance be negative?

No. Neither the standard deviation nor the variance can ever be negative.


What is the square of the standard deviation called?

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.


If a set of data has 100 points and a variance 4 then what is the standard deviation?

Standard deviation is the square root of the variance. Since you stated the variance is 4, the standard deviation is 2.


Does variance and standard deviation assume nominal data?

No. Variance and standard deviation are dependent on, but calculated irrespective of the data. You do, of course, have to have some variation, otherwise, the variance and standard deviation will be zero.