the variance of the uniform distribution is (a+b)/12
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If a random variable X has a Normal distribution with mean M and variance S2, then Z = (X - M)/S
No. The variance of any distribution is the sum of the squares of the deviation from the mean. Since the square of the deviation is essentially the square of the absolute value of the deviation, that means the variance is always positive, be the distribution normal, poisson, or other.
The independent variable explains .32*100 percent of the variance in the dependent variable.This is 9%.The explainable variance is always the square of the correlation (r).
It could be a random variable with a discrete uniform distribution over the range 1 to 6.
It means that the variance remains the same across the range of values of the variable.