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r = Cov(X,Y)/(sd(X) * sd(Y))
Cov(X,Y) = E(XY) - E(X)E(Y)
= k^2/4 - k/3 * 2k/3 = k^2/36
sd(X) = sqrt(E(X^2) - (E(X))^2) = sqrt( k^2/6 - k^2/9) = k/sqrt(18)
sd(Y) = sqrt(k^2/2 - 4k^2/9) = k/sqrt(18)
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r te joint probabilthy denokty Aunchan: de 2 2 For šome pesihve,...
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By show it means prove not solve for the if again
Thank you!
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Hello, please help thank you Thermodynamics Free energy and chemical equilibrium Te equilibrium constant for the...
Hello, please help thank
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Please answer all parts of the question. Thank you
[1] The joint probability density function of two continuous random variables X and Y is fx,x(x,y) = {6. sc, 0 Sy s 2.y = x < 4-y otherwise Find the value of c and the correlation of X and Y.
Please answer all parts of the question. Thank you
[2] Consider the same two random variables X and Y in problem [1] with the same joint probability density function. Find the mean value of Y when X<1.
Please answer all the questions thank you
1. Use the joint probability density function to answer the questions below. 0 otherwise (a) Find the expected value of X (b) Find the expected valuc of Y (e) Find the covariance between X and Y a) Find the expected valuc of X (d) Find the correlation coefficient p(X,Y)
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Thank you!
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#4 please, thank you!
3. Let f : [0, 1] → R be uniformly continuous, so that for every e > 0, there exists 8 >0 such that |x – y <DE =\f(x) – f(y)] < e for every x, y € [0, 1]. The graph of f is the set Gf = {(x, f(x)) : x € [0, 1]}. Show that Gf has measure zero (9 points). 4. Let f : [0, 1] x [0, 1] → R be...
Hello, please help thank
you
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could you write neatly please, thank you
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