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Two methods of measuring surface smoothness are used to evaluate a paper product. The measurements are recorded as deviations from the nominal surface smoothness in coded units. The joint probability distribution of the two measurements is a uniform distribution over the region 0

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Answer:


\boxed{c=(2)/(15)}

Explanation:

The region R of integration is depicted on the picture attached.

To find the area under the surface f(x,y) = c on that region we must evaluate


\iint_R \ f(x,y) \,dx\,dy=\iint_R \ c \,dx\,dy=c\iint_R \  \,dx\,dy

But, by watching the region R we can see


c\iint_R \  \,dx\,dy=c\left ( \int_(0)^(1)\int_(0)^(x+1)dxdy+\int_(1)^(4)\int_(x-1)^(x+1)dxdy \right )

Evaluating the integrals


\int_(0)^(1)\int_(0)^(x+1)dxdy=\int_(0)^(1)\left ( \int_(0)^(x+1) dy\right )dx=\int_(0)^(1)(x+1)dx=\\\ \int_(0)^(1)xdx+\int_(0)^(1)dx=(3)/(2)


\int_(1)^(4)\int_(x-1)^(x+1)dxdy \right=\int_(1)^(4)\left ( \int_(x-1)^(x+1)dy \right )dx=\int_(1)^(4)2dx=6

And we have that the area under the surface is


c((3)/(2)+6)=(15)/(2)c

Since f is a probability density function


(15)/(2)c=1

and we must have


\boxed{c=(2)/(15)}

Two methods of measuring surface smoothness are used to evaluate a paper product. The-example-1
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