You are given the probability distribution function (PDF) of a continuous random variable X is fy(x). Let Y be a continuous random variable such that Y = aX + b, where a and b are non-zero real constants. 1. Find the PDF of Y in terms of fx, a, and 5. 2. Let X be an exponential random variable with parameter 1. When will Y also be an exponential random variable? 3. Let X be a normal random variable with mean u and variance o² . When will Y also be a normal random variable?

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Note: Subparts 2 and 3 must be answered using only the formula derived in
subpart 1. You can use Method of Transforms in subpart 1 however it is not
necessary to use it.
Transcribed Image Text:Note: Subparts 2 and 3 must be answered using only the formula derived in subpart 1. You can use Method of Transforms in subpart 1 however it is not necessary to use it.
You are given the probability distribution function (PDF) of a continuous random
variable X is fx(x). Let Y be a continuous random variable such that Y = aX +
%3D
b, where a and b are non-zero real constants.
1. Find the PDF of Y in terms of fx, a, and b.
2. Let X be an exponential random variable with parameter 2. When will Y
also be an exponential random variable?
3. Let X be a normal random variable with mean u and variance o² . When
will Y also be a normal random variable?
Transcribed Image Text:You are given the probability distribution function (PDF) of a continuous random variable X is fx(x). Let Y be a continuous random variable such that Y = aX + %3D b, where a and b are non-zero real constants. 1. Find the PDF of Y in terms of fx, a, and b. 2. Let X be an exponential random variable with parameter 2. When will Y also be an exponential random variable? 3. Let X be a normal random variable with mean u and variance o² . When will Y also be a normal random variable?
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