Probability Theory Homework: Finding Intersections and Conditional Probabilities, Assignments of Computer Science

Solutions to various probability theory problems involving finding probabilities of intersections and conditional probabilities. The problems include finding the probability of an event given that another event has occurred, finding the probability of two events occurring together, and proving relationships between probabilities. The solutions involve using the formula for conditional probability and the additive property of probability.

Typology: Assignments

Pre 2010

Uploaded on 03/28/2010

koofers-user-sdi
koofers-user-sdi 🇺🇸

10 documents

1 / 2

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
CSE21 HW #5 Solution
1. (5 Points) P(A) = 0.5, P(B) = 0.6, P(B|A) = 0.8. Find P(A|B) =?
Solution P(A|B) = P(AB)
P(B)=P(B|A)P(A)
P(B)=0.8·0.5
0.6=2
3.
2. (10 Points)
(a) P(A) = 1
4,P(B|A) = 1
3,P(A|B) = 1
2.P(AB) =?.
Solution(4 pts) P(AB) = P(B|A)P(A) = 1
3·1
4=1
12 .
P(B) = P(AB)
P(A|B)=
1
12
1
2
=1
6.
P(AB) = P(A) + P(B)P(AB) = 1
4+1
61
12 =1
3.
(b) Given that P(A) = p,P(B) = 1 ε. Prove
pε
1εP(A|B)p
1ε.
Solution(6 pts)
Proof P(A|B) = P(AB)
P(B)(P(A)
(P(B)=p
1ε.
P(A|B) = P(AB)
P(B)=P(A)+P(B)P(AB)
P(B)=p+1εP(AB)
1εp+1ε1
1ε=pε
1ε.
3. (10 Points) Let Adenote the event that the marble selected is yellow, and let Bdenote the
event that the marble is not black. We want to find P(A|B). By definition P(A|B) = P(AB)
P(B).
ABis the event that the marble selected is yellow and not black, therefore AB=A.
P(A|B) = P(AB)
P(B)=P(A)
P(B).P(A) = 10
15+10+15 =1
4.P(B) = 15+10
15+10+15 =5
8.P(A|B) = 2
5.
4. (10 Points) A fair die is thrown twice, independently. Let xbe the first score and ybe the
second score. Let A={x+y= 10}and B={x > y}. Find: P(A|B) and P(B|A).
Solution P(A) = 3
6×6=1
12 . [There are 3 combinations of xand ywhich satisfy x+y= 10:
(x, y) = (4,6) or (5,5) or (6,4).]
P(B) = 15
36 =5
12 . [There are 15 combinations of xand ywhich satisfy x > y:(x, y) = (6,1) or
(6,2), or (6,3) or (6,4) or (6,5) or (5,1) or (5,2) or (5,3) or (5,4) or (4,1) or (4,2) or (4,3)
or (3,1) or (3,2) or (2,1).]
P(AB) = 1
36 . [(x, y) = (6,4).]
P(A|B) = P(AB)
P(B)=1
15 .
P(B|A) = P(AB)
P(A)=1
3.
5. (15 Points) Two boxes are given as follows:
Box Acontains 8 red balls, 2 white balls, and 2 blue balls.
Box Bcontains 2 red balls and 6 white balls.
A fair die is tossed: if a 3 or 6 appears, a ball is randomly chosen from A; otherwise a ball is
randomly chosen from B.
(a) Find the probability that the ball is:
(i) red, (ii) white, (iii) blue.
Solution(9 pts) Construct the corresponding stochastic tree diagram as in Fig 1. We
seek P(R) (the probability that the ball is red), P(W) (the probability that the ball is
white), P(B) (the probability that the ball is blue).
1
pf2

Partial preview of the text

Download Probability Theory Homework: Finding Intersections and Conditional Probabilities and more Assignments Computer Science in PDF only on Docsity!

CSE21 HW #5 Solution

  1. (5 Points) P (A) = 0.5, P (B) = 0.6, P (B|A) = 0.8. Find P (A|B) =? Solution P (A|B) = P^ P(A (∩BB) )= P^ (B P|A (B)P)^ (A)= 0.^80 ·.^06. 5 = 23.
  2. (10 Points)

(a) P (A) = 14 , P (B|A) = 13 , P (A|B) = 12. P (A ∪ B) =?. Solution(4 pts) P (A ∩ B) = P (B|A)P (A) = 13 · 14 = 121. P (B) = P P^ ( (AA∩|BB)) = 121 1 2

P (A ∪ B) = P (A) + P (B) − P (A ∩ B) = 14 + 16 − 121 = 13.

(b) Given that P (A) = p, P (B) = 1 − ε. Prove p − ε 1 − ε

≤ P (A|B) ≤

p 1 − ε

Solution(6 pts) Proof P (A|B) = P^ P(A (B∩B) )≤ ((PP^ ((BA)) = (^1) −pε. P (A|B) = P^ P(A (∩BB) )= P^ (A)+P^ ( PB (B)−)P (A∪B)= p+1−ε 1 −−Pε^ ( A∩B)≥ p+1 1 −−εε− 1 = p 1 −−εε.

  1. (10 Points) Let A denote the event that the marble selected is yellow, and let B denote the event that the marble is not black. We want to find P (A|B). By definition P (A|B) = P^ P(A (∪BB) ). A ∪ B is the event that the marble selected is yellow and not black, therefore A ∪ B = A. P (A|B) = P^ P(A (∪BB) )= P P^ ((AB)). P (A) = (^) 15+10+15^10 = 14. P (B) = (^) 15+10+1515+10 = 58. P (A|B) = 25.
  2. (10 Points) A fair die is thrown twice, independently. Let x be the first score and y be the second score. Let A = {x + y = 10} and B = {x > y}. Find: P (A|B) and P (B|A). Solution P (A) = (^6) ×^36 = 121. [There are 3 combinations of x and y which satisfy x + y = 10: (x, y) = (4, 6) or (5, 5) or (6, 4).] P (B) = 1536 = 125. [There are 15 combinations of x and y which satisfy x > y: (x, y) = (6, 1) or (6, 2), or (6, 3) or (6, 4) or (6, 5) or (5, 1) or (5, 2) or (5, 3) or (5, 4) or (4, 1) or (4, 2) or (4, 3) or (3, 1) or (3, 2) or (2, 1).] P (A ∩ B) = 361. [(x, y) = (6, 4).] P (A|B) = P^ P(A (∩BB) )= 151.

P (B|A) = P^ P(A (∩AB) )= 13.

  1. (15 Points) Two boxes are given as follows: Box A contains 8 red balls, 2 white balls, and 2 blue balls. Box B contains 2 red balls and 6 white balls. A fair die is tossed: if a 3 or 6 appears, a ball is randomly chosen from A; otherwise a ball is randomly chosen from B.

(a) Find the probability that the ball is: (i) red, (ii) white, (iii) blue. Solution(9 pts) Construct the corresponding stochastic tree diagram as in Fig 1. We seek P (R) (the probability that the ball is red), P (W ) (the probability that the ball is white), P (B) (the probability that the ball is blue).

2/

4/

A

B

8/ 2/

2/

2/ 6/ 0

R W B R W B

Figure 1: Problem 5 Tree Diagram

i. P (R) = 26 · 128 + 46 · 28 = 187. ii. P (W ) = 26 · 122 + 46 · 68 = 59. iii. P (B) = 26 · 122 = 181. (b) Find the probability that box A was selected if the ball is red. Solution(6 pts) We seek P (A|R), the probability that A was selected, given that the ball is red. Thus, it is necessary to find P (A ∩ R) and P (R). P (A ∩ R) = 26 · 128 = 29. P (R) = 187. P (A|R) = P^ ( PA (R∩R) )= 47.

  1. (10 pts) There are five coins in your pocket. One has both sides painted red and one has both sides painted yellow. Each of the other three coins has one side painted red and the other side painted yellow. Now you randomly take one coin out of your pocket and toss it on a table. You see that the face that is up is red. Given this observation, what is the probability that this coin is yellow on the other side? Solution Let Y = {The face that is down is yellow}. Let R ={the face that is up is red}. P (Y ∩ R) = 35 · 12 = 103. P (R) = 35 · 12 + 15 = 12. P (Y |R) = P^ (Y R^ ∩ R)= 35.