Variance is 362 or 1296.
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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.
The variance is the square of the standard deviation.This question is equivalent tocan s = s^2The answer is yes, but only in two cases.If the standard deviation is 1 exactly, then so is the variance.If the standard deviation is 0 exactly, then so is the variance.If the standard deviation is anything else, then it is not equal to the variance.You are not likely to find these special cases in practical problems, so from a practical sense, you should think that they are generally not equal.
Information is not sufficient to find mean deviation and standard deviation.
we calculate standard deviation to find the avg of the difference of all values from mean.,
In general, you cannot. If the distribution can be assumed to be Gaussian [Normal] then you could use z-scores.