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Variance. However, in fact the standard deviation is calculated from the variance, not in the order that the question seems to suggest.

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9y ago
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Q: If you square standard deviation you get this term?
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Related questions

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.


What is the relationship between standard deviation and variance?

Standard deviation is the square root of the variance.


What is the standard normal deviation?

The standard deviation of a normal deviation is the square root of the mean, also the square root of the variance.


How do you convert variance of 10.8 square inches into standard deviation?

Standard deviation = square root of 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 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 standard deviation when mean is 64 and variance is 36?

Standard deviation is the square root of the variance. Therefore, the standard deviation is the sqrt 36 or 6.


Why is standard deviation of a statistic called standard error?

The standard error is the standard deviation divided by the square root of the sample size.


What is the standard deviation of a variance of 846?

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


The standard deviation is the square root of the average squared deviation of scores from the?

mean