f(x, y) = { 0, elsewhere The following picture (not to scale) shows the "support" of this joint pdf: 2 y = 2x

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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Consider the following joint par of two random variables X and Y:
f(x,y) = {10,
The following picture (not to scale) shows the "support" of this joint pdf:
Dr
[₁
2
1
0≤x≤ 1,0 ≤ y ≤ 2x
elsewhere
y = 2x
6
Cppose an analyst observes a particular outcome (xo, Yo) drawn from the joint pdf f(x, y) above.
We are told the value of xo and asked to "guess" the value of the accompanying yo. True or false: knowing the
value of xo is useless for guessing the value of yo? Provide an intuitive explanation, using graphs if necessary.
Provide an intuitive counter-example to your answer (showing the support of the counter-example joint pdf).
] Show that A 1/2.
ntel Derive f(x) and compute E[X] and o.
...s] Derive f (y) and compute E[Y] and o.
.] Derive f (ylx) and compute E[YIX]. Based on your answer for E[YIX] do you think the two random
Transcribed Image Text:Consider the following joint par of two random variables X and Y: f(x,y) = {10, The following picture (not to scale) shows the "support" of this joint pdf: Dr [₁ 2 1 0≤x≤ 1,0 ≤ y ≤ 2x elsewhere y = 2x 6 Cppose an analyst observes a particular outcome (xo, Yo) drawn from the joint pdf f(x, y) above. We are told the value of xo and asked to "guess" the value of the accompanying yo. True or false: knowing the value of xo is useless for guessing the value of yo? Provide an intuitive explanation, using graphs if necessary. Provide an intuitive counter-example to your answer (showing the support of the counter-example joint pdf). ] Show that A 1/2. ntel Derive f(x) and compute E[X] and o. ...s] Derive f (y) and compute E[Y] and o. .] Derive f (ylx) and compute E[YIX]. Based on your answer for E[YIX] do you think the two random
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