Q1) CDF, PDF, Expectation and Variance The cumulative distribution function (CDF) of random variable Y is 0, y < -1 Fy (y) = { (y + 1)/2, -1 1. a) Find the probability density function, fy(y), of random variable Y. b) Show that f fy (y)dy= 1.

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter13: Probability And Calculus
Section13.3: Special Probability Density Functions
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Q1) CDF, PDF, Expectation and Variance
The cumulative distribution function (CDF) of random variable Y is
y < -1
Fy (y) = { (y + 1)/2,
-1 <y<1
y > 1.
a) Find the probability density function, fy(y), of random variable Y.
b) Show that f fy (y)dy = 1.
c) What is E[Y]?
d) What is VAR[Y]?
Transcribed Image Text:Q1) CDF, PDF, Expectation and Variance The cumulative distribution function (CDF) of random variable Y is y < -1 Fy (y) = { (y + 1)/2, -1 <y<1 y > 1. a) Find the probability density function, fy(y), of random variable Y. b) Show that f fy (y)dy = 1. c) What is E[Y]? d) What is VAR[Y]?
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