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Vsevolod [243]
3 years ago
15

The joint probability mass function of XX and YY is given by p(1,1)=0p(2,1)=0.1p(3,1)=0.05p(1,2)=0.05p(2,2)=0.3p(3,2)=0.1p(1,3)=

0.05p(2,3)=0.1p(3,3)=0.25 p(1,1)=0p(1,2)=0.05p(1,3)=0.05p(2,1)=0.1p(2,2)=0.3p(2,3)=0.1p(3,1)=0.05p(3,2)=0.1p(3,3)=0.25 (a) Compute the conditional mass function of YY given X=3X=3: P(Y=1|X=3)
Mathematics
1 answer:
inessss [21]3 years ago
8 0

Answer:

P(Y=1|X=3)=0.125

Step-by-step explanation:

Given :

p(1,1)=0  

p(2,1)=0.1

p(3,1)=0.05

p(1,2)=0.05

p(2,2)=0.3

p(3,2)=0.1

p(1,3)=0.05

p(2,3)=0.1

p(3,3)=0.25

Now we are supposed to find the conditional mass function of Y given X=3 :  P(Y=1|X=3)

P(X=3) = P(X=3,Y=1)+P(X=3,Y=2) +P(X=3,Y=3)

P(X=3)=p(3,1) +p(3,2) +p(3,3)

P(X=3)=0.05+0.1+0.25=0.4

P(Y=1|X=3)=\frac{P(X=3,Y=1)}{P(X=3)} =\frac{p(3,1)}{P(X=3)}=\frac{0.05}{0.4}= 0.125

Hence P(Y=1|X=3)=0.125

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Step-by-step explanation:

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And rewriting it for the sake of clarity:

Does there exist a differentiable function g : [0, 1] →R such that g'(x) = f(x) for all g(x)=x² ∈ [0, 1]? Justify your answer

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This is what the Bilateral Theorem says:

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