Back to 12.4 Problems on Variance, Covariance, Linear Regression

12.4 Exercise 29

Avg difficulty 2.5

(See Exercise 21 from "Problems On Random Vectors and Joint Distributions", and Exercise 31 from "Problems on Mathematical Expectation"). fXY(t,u)=213(t+2u)f_{X Y} \left(t , u\right) = \frac{2}{13} \left(t + 2 u\right), for 0≤t≤20 \leq t \leq 2, 0≤u≤min{2t,3-t}0 \leq u \leq \min \left\{2 t , 3 - t\right\}.

E [ X ] = 16 13 , E [ Y ] = 11 12 , E [ X 2 ] = 2847 1690 E \left[X\right] = \frac{16}{13} , E \left[Y\right] = \frac{11}{12} , E \left[X^{2}\right] = \frac{2847}{1690}

Pfeiffer, Applied Probability, 12.4 Problems on Variance, Covariance, Linear Regression, exercise 29

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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.