What is the covariance for the joint distribution below right? Cov(X, Y) = -1 YO +1 -1 1/16 3/16 1/16 X 0 3/16 0 3/16 +1 1/16 3/16 1/16
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- In a fish restaurant, population variance for fish to go bad is at least 4 days. After buying a new cooling system, its expected to be less than 4 days. After buying the new cooling system, 10 fish are tested and with an average of 8 days without going bad with a population variance of 3 days. Test with 95 confidince if the population variance is really less than 4 days. (use chi square test for the lower-side by using the formula and not the excel please)Suppose that the random change in value of a financial asset is X over the first day and Y over the second. Suppose also that Var(X) =18 and Var(Y) = 26 In this case, the total change in the value over these two days is given by X +Y. Do you have enough information to compute Var(X +Y)? If so, compute this value. If not, explain what additional information you need to do so.Find variance of y1 provide correct answer
- The random variables X,Y have variance Var(X)=36 and Var(Y)=1 and their correlation is Cor(X,Y)=−3/4. Calculate Var(X+Y) with a full explanationFind variance of Y15) Let Y be binomial (n = 4, II = .3) (a) Calculate the mean and variance by filling in the following table: f(yi) Xi X f(Yi) Yi2 X f(yi) b) Calculate the mean and variance of Y using formulas.
- Suppose X and Y are two random variables with covariance Cov(X, Y) = 3 and Var(X) = 16. Find the correlation coefficient between X and Y.Compute co-efficient of correlation from the following given results: x =10, Edx = 0. Edy = 0, E(x-K)? = 1350, Ety-7}²= 2180 and E(x-X) (y-7) =1590Help!! Step 5: Calculate the correlation coefficient ?=∑(zxi⋅zyi)n−1