Suppose X and Y are random variables. Find k such that the function $f ( x , y ) = \left\{ \begin{array} { l l }
k e ^ { - ( 0.6 x + 0.4 y ) } & \text { if } x \geq 0 , y \geq 0 \
0 & \text { otherwise }
\end{array} \right.$ is a joint density function.
A)0.2
B)0.3
C)0.25
D)1
E)0.5
F)0.4
G)0.24
H)0

Question

Suppose X and Y are random variables. Find k such that the function $f ( x , y ) = \left\{ \begin{array} { l l } 
k e ^ { - ( 0.6 x + 0.4 y ) } & \text { if } x \geq 0 , y \geq 0 \
0 & \text { otherwise }
\end{array} \right.$ is a joint density function.
A)0.2
B)0.3
C)0.25
D)1
E)0.5
F)0.4
G)0.24
H)0

Quizplus · Accepted Answer

The Answer of Suppose X and Y are random variables. Find k such that the function $f ( x , y ) = \left\{ \begin{array} { l l } 
k e ^ { - ( 0.6 x + 0.4 y ) } & \text { if } x \geq 0 , y \geq 0 \
0 & \text { otherwise }
\end{array} \right.$ is a joint density function.
A)0.2
B)0.3
C)0.25
D)1
E)0.5
F)0.4
G)0.24
H)0

Suppose X and Y Are Random Variables Is a Joint Density Function