The premise pdf of the random variable X is X ∼ U (0, 2). The pdf of the Y random variable under the condition X Geometric (x). That is, since fY | X (y | x) ∼ Geometric (x) and Y = 3 observations fX | Y (x | 3) =? by the way f(y|x)=x(1-x)^y-1 right? if not tell me whY?

The premise pdf of the random variable X is X ∼ U (0, 2). The pdf of the Y random variable under the condition X Geometric (x). That is, since fY | X (y | x) ∼ Geometric (x) and Y = 3 observations fX | Y (x | 3) =? by the way f(y|x)=x(1-x)^y-1 right? if not tell me whY?

Name: The premise pdf of the random variable X is X ∼ U (0, 2). The pdf of t
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Description: The premise pdf of the random variable X is X ∼ U (0, 2). The pdf of the Y random variable under the condition X Geometric (x). That is, since fY | X (y | x) ∼ Geometric (x) and Y = 3 observations fX | Y (x | 3) =?by the way f(y|x)=x(1-x)^y-1 right?

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015

1st Edition

ISBN:9781680331141

Author:HOUGHTON MIFFLIN HARCOURT

Publisher:HOUGHTON MIFFLIN HARCOURT

Chapter4: Writing Linear Equations

Section: Chapter Questions

Problem 12CR

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Contingency Table

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The premise pdf of the random variable X is X ∼ U (0, 2). The pdf of the Y random variable under the condition X Geometric (x). That is, since fY | X (y | x) ∼ Geometric (x) and Y = 3 observations fX | Y (x | 3) =?
by the way f(y|x)=x(1-x)^y-1 right? if not tell me whY?

Definition Definition Probability of occurrence of a continuous random variable within a specified range. When the value of a random variable, Y, is evaluated at a point Y=y, then the probability distribution function gives the probability that Y will take a value less than or equal to y. The probability distribution function formula for random Variable Y following the normal distribution is: F(y) = P (Y ≤ y) The value of probability distribution function for random variable lies between 0 and 1.

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