14 сент. 2021 г. · X, Y are independent => Cov(X, Y) = E[(X-X')(Y-Y')] = E(X-X').E(Y-Y') = 0 where, X' etc is mean of x values & E is expected value operator.

18 июн. 2023 г. · To contend that Var(X - Y) = Var(X) + Var(Y) when X and Y are autonomous irregular factors, we can utilize the properties of fluctuation and the ...

14 апр. 2022 г. · It should be clear that the two variables are related. The range of x depends upon y, and the range of y depends on x.

8 янв. 2021 г. · var(ax - by)= var(a*x +( -1)* b*y) where a and b are constants = a^2var(x) + (-1)^2*b^2*var(y) =a^2var(x) + b^2*var(y)

14 апр. 2022 г. · Let's work with Variance instead of SD. Var(X) = SD(X) ^2 → Var(X) = 16, Var(Y) = 4. Covariance between X and Y = Cov(X,Y) = corr coefft * SD( ...

27 апр. 2016 г. · If the Variances of two random variables (X and Y) are equal, that is Var(X) = Var (Y), what is the Covariance of X and Y, that is Cov(X,Y)? We ...

4 нояб. 2021 г. · Is it always true that Cov (X+Y, X-Y) =Var(X)-Var(Y) for any X and Y random variables? Well, why not try to prove it?

21 мар. 2017 г. · Covariance between two variates X, Y is defined as Cov(X, Y) = E{(X - M)(Y - M´)} where M, M´ are respectively the means of x & y values . Let U ...

20 июн. 2023 г. · Variance(V(X)): V a r i a n c e ( V ( X ) ) : The variance of a random variable X X measures how much the values of X X vary around its expected ...

27 мар. 2023 г. · What is the expected value of X+Y when X and Y are discrete random variables? How can we compute the marginal expected value of XY, and the ...