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 ( S R | U L ) , 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 P ( S R U L ) by conditioning on whether or not the key is in the right-hand pocket, and determining P ( U L ) 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 ( S R | U L ) , 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 P ( S R U L ) by conditioning on whether or not the key is in the right-hand pocket, and determining P ( U L ) 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 by using the identity P(S_R|U
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
(
S
R
|
U
L
)
, 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
P
(
S
R
U
L
)
by conditioning on whether or not the key is in the right-hand pocket, and determining
P
(
U
L
)
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
)
Could you explain how the inequalities u in (0,1), we have 0 ≤ X ≤u-Y for any 0 ≤Y<u and u in (1,2), we either have 0 ≤ X ≤u-Y for any u - 1 < Y<1, or 0≤x≤1 for any 0 ≤Y≤u - 1 are obtained please. They're in the solutions but don't understand how they were derived.
Can you please explain how to find the bounds of the integrals for X and Y and also explain how to find the inequalites that satisfy X and Y. I've looked at the solutions but its not clear to me on how the inequalities and bounds of the integral were obtained. If possible could you explain how to find the bounds of the integrals by sketching a graph with the region of integration. Thanks
QUESTION 18 - 1 POINT
Jessie is playing a dice game and bets $9 on her first roll. If a 10, 7, or 4 is rolled, she wins $9. This happens with a probability of . If an 8 or 2 is rolled, she loses her $9. This has a probability of J. If any other number is rolled, she does not win or lose, and the game continues. Find the expected value for Jessie on her first roll.
Round to the nearest cent if necessary. Do not round until the final calculation.
Provide your answer below:
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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