Back to 12.4 Problems on Variance, Covariance, Linear Regression

12.4 Exercise 26

Avg difficulty 2.5

(See Exercise 16 from "Problems On Random Vectors and Joint Distributions", and Exercise 26 from "Problems on Mathematical Expectation"). fXY(t,u)=12t2uf_{X Y} \left(t , u\right) = 12 t^{2} u on the parallelogram with vertices

( - 1 , 0 ) , ( 0 , 0 ) , ( 1 , 1 ) , ( 0 , 1 ) \left(- 1 , 0\right) , \left(0 , 0\right) , \left(1 , 1\right) , \left(0 , 1\right)
E [ X ] = 2 5 , E [ Y ] = 11 15 , E [ X 2 ] = 2 5 E \left[X\right] = \frac{2}{5} , E \left[Y\right] = \frac{11}{15} , E \left[X^{2}\right] = \frac{2}{5}

Pfeiffer, Applied Probability, 12.4 Problems on Variance, Covariance, Linear Regression, exercise 26

AI Tutor

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