Answer: True
Solution:
The standard deviation (SD) is always equal to the square root of the variance.
σ =
Since the differences are squared, added and then rooted, negative standard deviations are not possible.
Suppose X and Y are independent random variables. Then, the variance of (X + Y) and the variance of (X - Y) are described by the following equations
Var(X + Y) = Var(X - Y) = Var(X) + Var(Y)
where Var(X + Y) is the variance of the sum of X and Y, Var(X - Y) is the variance of the difference between X and Y, Var(X) is the variance of X, and Var(Y) is the variance of Y.
SD(X + Y) =
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