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
)
Problem: The probability density function of a random variable is given by the exponential
distribution
Find the probability that
f(x) = {0.55e−0.55x 0 < x, O elsewhere}
a. the time to observe a particle is more than 200 microseconds.
b. the time to observe a particle is less than 10 microseconds.
Problem: The probability density function of a random variable is given by the exponential
distribution
Find the probability that
f(x) = {0.55e-0.55 x 0 < x, O elsewhere}
a. the time to observe a particle is more than 200 microseconds.
b. the time to observe a particle is less than 10 microseconds.
Unknown to a medical researcher, 7 out of 24 patients have a heart problem that will result in death if they receive the test drug. 5 patients are randomly selected to receive the drug and the rest receive a placebo. What is the probability that less than 4 patients will die? Express as a fraction or a decimal number rounded to four decimal places.
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