Back to 12.4 Problems on Variance, Covariance, Linear Regression

12.4 Exercise 30

Avg difficulty 2.5

(See Exercise 22 from "Problems On Random Vectors and Joint Distributions", and Exercise 32 from "Problems on Mathematical Expectation"). fXY(t,u)=I[0,1](t)38(t2+2u)+I(1,2](t)914t2u2f_{X Y} \left(t , u\right) = I_{\left[0 , 1\right]} \left(t\right) \frac{3}{8} \left(t^{2} + 2 u\right) + I_{\left(1 , 2\right]} \left(t\right) \frac{9}{14} t^{2} u^{2}, for 0≤u≤10 \leq u \leq 1.

E [ X ] = 243 224 , E [ Y ] = 11 16 , E [ X 2 ] = 107 70 E \left[X\right] = \frac{243}{224} , E \left[Y\right] = \frac{11}{16} , E \left[X^{2}\right] = \frac{107}{70}

Pfeiffer, Applied Probability, 12.4 Problems on Variance, Covariance, Linear Regression, exercise 30

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Adapted from Applied Probability © 2009 Paul E. Pfeiffer. Licensed under CC BY 3.0. Source: Applied Probability. Imported at revision d7a0420.