Suppose that the random variables Y and X only take the values 0 and 1, and have the following joint probability distribution: Y = 0 Y = 1 X = 0 .4 .1 X = 1 .3 .2 Find E[Y | X], E [Y² | X] and Var[Y | X] for X = 0 and X = 1. You may use the fact that Var[Y | X] = E[Y² | X] – E[Y | X]² without a proof.

A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
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Chapter1: Combinatorial Analysis
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Suppose that the random variables Y and X only take the values 0 and 1, and
have the following joint probability distribution:
Y = 0
Y = 1
X = 0
.4
.1
X = 1
.3
.2
Find E[Y | X], E [Y² | X] and Var[Y | X] for X = 0 and X 1. You may use
the fact that Var[Y | X] = E[Y² | X] – E[Y | X]² without a proof.
Transcribed Image Text:Suppose that the random variables Y and X only take the values 0 and 1, and have the following joint probability distribution: Y = 0 Y = 1 X = 0 .4 .1 X = 1 .3 .2 Find E[Y | X], E [Y² | X] and Var[Y | X] for X = 0 and X 1. You may use the fact that Var[Y | X] = E[Y² | X] – E[Y | X]² without a proof.
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