Statistics

Why we calculate the variance and standard deviation?

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2017-10-11 12:53:26
2017-10-11 12:53:26

They are measures of the spread of the data and constitute one of the key descriptive statistics.

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Square the standard deviation and you will have the variance.


Standard deviation = square root of variance.


The standard deviation is the square root of the variance. So, if variance = 03 = 3 the std dev = sqrt(3) = 1.732


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




Standard deviation is the square root of the variance.


The standard deviation is defined as the square root of the variance, so the variance is the same as the squared 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, σ = 13.1 Variance, σ2 = 171.6


Variance isn't directly proportional to standard deviation.


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


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.



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. 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.


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


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



Square the standard deviation to obtain the variance. The variance is 62 or 36.



Yes. Since the standard deviation is defined as the square root of the variance, it can be said that the higher the standard deviation, the higher the variance.


Standard deviation is the square root of the variance; so if the variance is 64, the std dev is 8.


1. Standard deviation is not a measure of variance: it is the square root of the variance.2. The answer depends on better than WHAT!




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