Consider Example 2a, but now suppose that when the key is in a certain pocket, there is a 10 percent chance that a search of that pocket will not find the key. Let R and L be, respectively, the events that the key is in the right-hand pocket of the jacket and that it is in the left-hand pocket. Also, let S R be the event that a search of the right-hand jacket pocket will be successful in finding the key, and let U L be the event that a search of the left-hand jacket pocket will be unsuccessful and, thus, not find the key. Find P(SRIUL), the conditional probability that a search of the right-hand pocket will find the key given that a search of the left-hand pocket did not, by (a) using the identity P ( S R | U L ) = P ( S R U L ) P ( U L ) determining (SRUL) by conditioning on whether or not the key is in the right-hand pocket, and determining P(UL) by conditioning on whether or not the key is in the left- hand pocket; (b) using the identity P ( S R | U L ) = P ( S R | R U L ) P ( R | U L ) + P ( S R | R C U L ) P ( R C | U L )
Consider Example 2a, but now suppose that when the key is in a certain pocket, there is a 10 percent chance that a search of that pocket will not find the key. Let R and L be, respectively, the events that the key is in the right-hand pocket of the jacket and that it is in the left-hand pocket. Also, let S R be the event that a search of the right-hand jacket pocket will be successful in finding the key, and let U L be the event that a search of the left-hand jacket pocket will be unsuccessful and, thus, not find the key. Find P(SRIUL), the conditional probability that a search of the right-hand pocket will find the key given that a search of the left-hand pocket did not, by (a) using the identity P ( S R | U L ) = P ( S R U L ) P ( U L ) determining (SRUL) by conditioning on whether or not the key is in the right-hand pocket, and determining P(UL) by conditioning on whether or not the key is in the left- hand pocket; (b) using the identity P ( S R | U L ) = P ( S R | R U L ) P ( R | U L ) + P ( S R | R C U L ) P ( R C | U L )
Solution Summary: The author calculates the conditional probability of finding a key in the right-hand pocket of the jacket and not the left-handed pocket.
Consider Example 2a, but now suppose that when the key is in a certain pocket, there is a 10 percent chance that a search of that pocket will not find the key. Let R and L be, respectively, the events that the key is in the right-hand pocket of the jacket and that it is in the left-hand pocket. Also, let
S
R
be the event that a search of the right-hand jacket pocket will be successful in finding the key, and let
U
L
be the event that a search of the left-hand jacket pocket will be unsuccessful and, thus, not find the key. Find P(SRIUL), the conditional probability that a search of the right-hand pocket will find the key given that a search of the left-hand pocket did not, by (a) using the identity
P
(
S
R
|
U
L
)
=
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R
U
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)
P
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U
L
)
determining (SRUL) by conditioning on whether or not the key is in the right-hand pocket, and determining P(UL) by conditioning on whether or not the key is in the left- hand pocket; (b) using the identity
P
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S
R
|
U
L
)
=
P
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R
|
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U
L
)
P
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)
+
P
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P
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)
5 of 5
(i) Let a discrete sample space be given by
Ω = {ω1, 2, 3, 4},
Total marks 12
and let a probability measure P on be given by
P(w1) 0.2, P(w2) = 0.2, P(w3) = 0.5, P(w4) = 0.1.
=
Consider the random variables X1, X2 → R defined by
X₁(w3) = 1, X₁(4) = 1,
X₁(w₁) = 1, X₁(w2) = 2,
X2(w1) = 2, X2(w2) = 2, X2(W3) = 1, X2(w4) = 2.
Find the joint distribution of X1, X2.
(ii)
[4 Marks]
Let Y, Z be random variables on a probability space (N, F, P).
Let the random vector (Y, Z) take on values in the set [0,1] × [0,2] and let the
joint distribution of Y, Z on [0,1] × [0,2] be given by
1
dPy,z(y, z)
(y²z + y²²) dy dz.
Find the distribution Py of the random variable Y.
[8 Marks]
Total marks 16
5.
Let (,,P) be a probability space and let X : → R be a random
variable whose probability density function is given by f(x) = }}|x|e¯|×| for
x Є R.
(i)
(ii)
Find the characteristic function of the random variable X.
[8 Marks]
Using the result of (i), calculate the first two moments of the
random variable X, i.e., E(X") for n = 1, 2.
(iii) What is the variance of X?
[6 Marks]
[2 Marks]
Total marks 16
5.
Let (N,F,P) be a probability space and let X : N → R be a
random variable such that the probability density function is given by
f(x)=ex for x € R.
(i)
Find the characteristic function of the random variable X.
[8 Marks]
(ii) Using the result of (i), calculate the first two moments of
the random variable X, i.e., E(X") for n = 1,2.
(iii)
What is the variance of X.
[6 Marks]
[2 Marks]
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, probability and related others by exploring similar questions and additional content below.
Discrete Distributions: Binomial, Poisson and Hypergeometric | Statistics for Data Science; Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=lHhyy4JMigg;License: Standard Youtube License