Back to 12.4 Problems on Variance, Covariance, Linear Regression

12.4 Exercise 27

Avg difficulty 2.5

(See Exercise 17 from "Problems On Random Vectors and Joint Distributions", and Exercise 27 from "Problems on Mathematical Expectation"). fXY(t,u)=2411tuf_{X Y} \left(t , u\right) = \frac{24}{11} t u for 0≤t≤20 \leq t \leq 2, 0≤u≤min{1,2-t}0 \leq u \leq \min \left\{1 , 2 - t\right\}.

E [ X ] = 52 55 , E [ Y ] = 32 55 , E [ X 2 ] = 627 605 E \left[X\right] = \frac{52}{55} , E \left[Y\right] = \frac{32}{55} , E \left[X^{2}\right] = \frac{627}{605}

Pfeiffer, Applied Probability, 12.4 Problems on Variance, Covariance, Linear Regression, exercise 27

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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.