Study guides

☆☆

Q: The square of the standard deviation is equal to?

Write your answer...

Submit

Still have questions?

Continue Learning about Other Math

Standard deviation is the square root of the variance.

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.

If n = 1.

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

Yes. Please see the related link, below.

Related questions

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.

no it is not possible because you have to take the square of error that is (x-X)2. the square of any number is always positive----------Improved answer:It is not possible to have a negative standard deviation because:SD (standard deviation) is equal to the square of V (variance).

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

Yes

Standard deviation = square root of variance.

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

Square the standard deviation and you will have the variance.

is variance the square of the standard deviation

Standard deviation is equal to the square root of the variance. To arrive at this work out the mean, then subtract the mean and square the result of each number. Then work out the mean of those squared differences and take the square root of that.

Standard deviation = square root of variance.

Standard deviation is the square root of the variance.

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.

People also asked