Back to 12.4 Problems on Variance, Covariance, Linear Regression

12.4 Exercise 25

Avg difficulty 2.5

(See Exercise 15 from "Problems On Random Vectors and Joint Distributions", and Exercise 25 from "Problems on Mathematical Expectation"). fXY(t,u)=388(2t+3u2)f_{X Y} \left(t , u\right) = \frac{3}{88} \left(2 t + 3 u^{2}\right) for 0≤t≤20 \leq t \leq 2, 0≤u≤1+t0 \leq u \leq 1 + t.

E [ X ] = 313 220 , E [ Y ] = 1429 880 , E [ X 2 ] = 49 22 E \left[X\right] = \frac{313}{220} , E \left[Y\right] = \frac{1429}{880} , E \left[X^{2}\right] = \frac{49}{22}

Pfeiffer, Applied Probability, 12.4 Problems on Variance, Covariance, Linear Regression, exercise 25

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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.