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

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โˆ™ 2016-02-19 21:21:18
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Q: Can standard deviation and variance be negative?
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Related questions

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.


What is the relationship between the variance and the standard deviation?

is variance the square of the standard deviation


Can standard deviation be a negative?

No. Standard deviation is the square root of a non-negative number (the variance) and as such has to be at least zero. Please see the related links for a definition of standard deviation and some examples.


How do you calculate standard deviation if I know variance?

Standard deviation = square root of variance.


What is the relationship between standard deviation and variance?

Standard deviation is the square root of the 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.


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.


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.


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.


Is variance square of standard deviation?

Yes, the variance of a data set is the square of the standard deviation (sigma) of the set. This means that the variance is always a positive number, even though the data might have a negative sigma value.

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