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
)
Q6. Consider a situation where cars entering an intersection could turn right, turn left,
or go straight. An experiment consists of observing two vehicles moving through
the intersection.
(a) How many sample points are there in the sample space? List them.
(b) Assuming that all sample points are equally likely, what is the probability that
at least one car turns left?
(c) Again assuming equally likely sample points, what is the probability that at
most one vehicle turns right?
13. If X has the distribution function
F(x)
=
0
1
12
for x < -1
for -1x < 1
for 1x <3
2
3
for 3≤x≤5
4
1
for x≥5
find
(a) P(X ≤3); (b) P(X = 3);
(c) P(X < 3);
(d) P(X≥1); (e) P(-0.4
Please solve the following Statistics and Probability Problem (show all work) :
The probability that a patient recovers from a rare blood disease is 0.4 and 10 people are known to havecontracted this disease. Let X denote the random variable which denotes the number of patient who survivefrom the disease.1. Plot the probability mass function (pmf) of X.2. Plot the cumulative distribution function (cdf) of X.3. What is the probability that at least 8 survive, i.e., P {X ≥ 8}?4. What is the probability that 3 to 8 survive, i.e., P {3 ≤ X ≤ 8}?
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