A process for producing an industrial chemical yields a product containing two types of im- purities. For a specified sample from this process, let Y1 denote the proportion of impurities in the sample and let Y2 denote the proportion of type I impurities among all impurities found. Suppose that the joint distribution of Y and Y2 can be modeled by the following probability density function: [2(1 – y2) if 0 < y1 < 1,0 < y2<1 f(y1, 42) = otherwise Find expected value of the proportion of type I impurities in the sample.
A process for producing an industrial chemical yields a product containing two types of im- purities. For a specified sample from this process, let Y1 denote the proportion of impurities in the sample and let Y2 denote the proportion of type I impurities among all impurities found. Suppose that the joint distribution of Y and Y2 can be modeled by the following probability density function: [2(1 – y2) if 0 < y1 < 1,0 < y2<1 f(y1, 42) = otherwise Find expected value of the proportion of type I impurities in the sample.
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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![2(1-42) {f os Y,S !,0< %€!
f(gi, 42)=20
%3D
otherwis e
Let Yz demote the proportron of type I impuritles among all
Pmpuritzes focend eu the sample.
The margni al probabilias dencay fun ch ponot Y,.
fy, Cb) =
fr.v, CYi, Yz) dyz
%3D
24.
J 2(1-42) dz
2
2
o[1-0]- 2 [%C*-»]] = 2-€(x* )] - 2-1
ECY2) = S fr Cyx) dy, = Sidy,e [%]o |
I dy, = [%]% zI
freCys) dyz
Y2 =0
ECYz) = I
value of the proporteon of type I mpurties in
-. Expeoted
the sample = /
%3D](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa2afdd55-c7d6-43a2-b099-db3f656ef1a4%2Fc3ba0d93-a4f8-4483-8063-c067e9f7747b%2F4qme12w_processed.jpeg&w=3840&q=75)
Transcribed Image Text:2(1-42) {f os Y,S !,0< %€!
f(gi, 42)=20
%3D
otherwis e
Let Yz demote the proportron of type I impuritles among all
Pmpuritzes focend eu the sample.
The margni al probabilias dencay fun ch ponot Y,.
fy, Cb) =
fr.v, CYi, Yz) dyz
%3D
24.
J 2(1-42) dz
2
2
o[1-0]- 2 [%C*-»]] = 2-€(x* )] - 2-1
ECY2) = S fr Cyx) dy, = Sidy,e [%]o |
I dy, = [%]% zI
freCys) dyz
Y2 =0
ECYz) = I
value of the proporteon of type I mpurties in
-. Expeoted
the sample = /
%3D

Transcribed Image Text:A process for producing an industrial chemical yields a product containing two types of im-
purities. For a specified sample from this process, let Y1 denote the proportion of impurities
in the sample and let Y2 denote the proportion of type I impurities among all impurities
found. Suppose that the joint distribution of Y1 and Y2 can be modeled by the following
probability density function:
2(1 – y2) if 0 < y1 < 1,0 < y2 <1
f(y1, Y2) =
otherwise
Find expected value of the proportion of type I impurities in the sample.
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