(6) At the top of the next page is a Bayes Net graph and four tables which characterize how four random variables interact to describe a single basketball shot: • D (defended): whether the player taking the shot was defended (D₁) or not (Do) while taking the shot.
(6) At the top of the next page is a Bayes Net graph and four tables which characterize how four random variables interact to describe a single basketball shot: • D (defended): whether the player taking the shot was defended (D₁) or not (Do) while taking the shot.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Question
![condition
Do, R₂
Do, R3
D1, R₂
D1, R3
P(Do) P(D₁)
.3
.7
Defended
Made
P(MoD, R) P(M₁|D, R)
.3
.7
.4
.6
.7
.3
.8
.2
Range
Points
condition
Mo, R₂
Mo, R3
M₁, R2
M1, R3
P(R₂) P(R3)
.6
.4
P(Po|M, R) P(P₂|M, R) P(P3|M, R)
1
0
0
1
0
0
0
1
0
0
1
Hint: For parts (a) and (b) below, using the definition of conditional probability and the fact of independence of
R and D, we can know that: P(M₁, Rj|Dk) = P(Mi|Dk, Rj)P(Rj).
(a) Compute P(M, R|D₁) for all possible values of M and R; that is, find:
• P(Mo, R₂|D₁)
• P(Mo, R3|D1)
• P(M₁, R₂|D1)
• P(M₁, R3|D1)
(b) Compute P(M, R|Do) for all possible values of M and R; that is, find:
• P(Mo, R₂|Do)
• P(Mo, R3|Do)
• P(M₁, R₂|Do)
• P(M₁, R3|Do)
(c) Using part (a), give the distribution of points earned given a shot is defended and compute the expected
value of points earned when a shot is defended.
(d) Using part (b), give the distribution of points earned given a shot is not defended and compute the expected
value of points earned when a shot is not defended.
(e) Using parts (c) and (d), compute the difference in expected points earned between defended and unde-
fended shots. Write one sentence, easily understood by a non-technical reader, which explains what this difference
represents.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F56812612-4c81-4852-a591-8d303e83423b%2Fe300bd88-11ea-4b6e-9de5-1fa1bc5686c8%2Fjxbcmei_processed.png&w=3840&q=75)
Transcribed Image Text:condition
Do, R₂
Do, R3
D1, R₂
D1, R3
P(Do) P(D₁)
.3
.7
Defended
Made
P(MoD, R) P(M₁|D, R)
.3
.7
.4
.6
.7
.3
.8
.2
Range
Points
condition
Mo, R₂
Mo, R3
M₁, R2
M1, R3
P(R₂) P(R3)
.6
.4
P(Po|M, R) P(P₂|M, R) P(P3|M, R)
1
0
0
1
0
0
0
1
0
0
1
Hint: For parts (a) and (b) below, using the definition of conditional probability and the fact of independence of
R and D, we can know that: P(M₁, Rj|Dk) = P(Mi|Dk, Rj)P(Rj).
(a) Compute P(M, R|D₁) for all possible values of M and R; that is, find:
• P(Mo, R₂|D₁)
• P(Mo, R3|D1)
• P(M₁, R₂|D1)
• P(M₁, R3|D1)
(b) Compute P(M, R|Do) for all possible values of M and R; that is, find:
• P(Mo, R₂|Do)
• P(Mo, R3|Do)
• P(M₁, R₂|Do)
• P(M₁, R3|Do)
(c) Using part (a), give the distribution of points earned given a shot is defended and compute the expected
value of points earned when a shot is defended.
(d) Using part (b), give the distribution of points earned given a shot is not defended and compute the expected
value of points earned when a shot is not defended.
(e) Using parts (c) and (d), compute the difference in expected points earned between defended and unde-
fended shots. Write one sentence, easily understood by a non-technical reader, which explains what this difference
represents.
![(6) At the top of the next page is a Bayes Net graph and four tables which characterize how four random variables
interact to describe a single basketball shot:
• D (defended): whether the player taking the shot was defended (D₁) or not (Do) while taking the shot.
● R (range): whether the player took a 2-point shot (R₂) or a 3-point shot (R3).
● M (made): whether the shot was made (M₁) or not (Mo).
● P (points): the points earned as a result of the shot, either 0 (Po), 2 (P₂), or 3 (P3).](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F56812612-4c81-4852-a591-8d303e83423b%2Fe300bd88-11ea-4b6e-9de5-1fa1bc5686c8%2Ffum1nln_processed.png&w=3840&q=75)
Transcribed Image Text:(6) At the top of the next page is a Bayes Net graph and four tables which characterize how four random variables
interact to describe a single basketball shot:
• D (defended): whether the player taking the shot was defended (D₁) or not (Do) while taking the shot.
● R (range): whether the player took a 2-point shot (R₂) or a 3-point shot (R3).
● M (made): whether the shot was made (M₁) or not (Mo).
● P (points): the points earned as a result of the shot, either 0 (Po), 2 (P₂), or 3 (P3).
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Step 1: Given information:
VIEWStep 2: Computations of Part a:
VIEWStep 3: Computations of Part b:
VIEWStep 4: Distribution and Expected value of points earned given a shot is defended:
VIEWStep 5: Distribution and Expected value of points earned given a shot is not defended:
VIEWStep 6: Difference in expected points earned between defended and undefended shots:
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