Pratibha’s desk has 8 drawers. When she receives a paper, she usually chooses a drawer at random to put it in. However, 2 out of 10 times she forgets to put the paper away, and it gets lost.
The probability that a paper will get lost is 2/10 , or 1/5 .
- What is the probability that a paper will be put into a drawer?
- If all drawers are equally likely to be chosen, what is the probability that a paper will be put in drawer 3?
When Pratibha needs a document, she looks first in drawer 1 and then checks each drawer in order until the paper is found or until she has looked in all the drawers.
1. If Pratibha checked drawer 1 and didn’t find the paper she was looking for, what is the probability that the paper will be found in one of the remaining 7 drawers?
2. If Pratibha checked drawers 1, 2 and 3, and didn’t find the paper she was looking for, what is the probability that the paper will be found in one of the remaining 5 drawers?
3. If Pratibha checked drawers 1–7 and didn’t find the paper she was looking for, what is the probability that the paper will be found in the last drawer?
Answers
Answered by
1
(i) the probability that a paper will be put into a drawer is 8/10 or 4/5.
(ii) the probability that a paper will be put in drawer 3 is 1/8.
(iii) the probability that the paper will be found in one of the remaining 7 drawers is 1/7.
(iv) the probability that the paper will be found in one of the remaining 5 drawers is 1/5.
(v) the probability that the paper will be found in the last drawer is 1/1 or 1 i.e. she will definitely find that paper in the last drawer.
(ii) the probability that a paper will be put in drawer 3 is 1/8.
(iii) the probability that the paper will be found in one of the remaining 7 drawers is 1/7.
(iv) the probability that the paper will be found in one of the remaining 5 drawers is 1/5.
(v) the probability that the paper will be found in the last drawer is 1/1 or 1 i.e. she will definitely find that paper in the last drawer.
kvnmurty:
i am not sure that the answers are correct, according to conditional probabilities...
Answered by
1
Probability that the paper piece is lost = 1/5
Probability that the paper is not lost or put into some drawer = 1 - 1/5 = 4/5
Probability that the paper is put in to a particular drawer = 4/5 * 1/8 = 1/10.
So probability that the paper is put in to 3rd drawer = 1/10
==============
1. P(A | B) = P(A Π B) / P(B)
Probability of event A given that event B occurred is the probability of A and B occurring together divided by probability of B.
A = paper is found in a drawer of the 7 remaining drawers.
B = paper is NOT found in the 1st drawer.
P(B) = paper is not put in any drawer + if it is put in a drawer then, paper is put in other 7 drawers
= 1/5 + 4/5 * 7/8 = 9/10
P(A) = 4/5 * 7/8 = 7/10
P(A U B) = 1/5 + 7/10 = forgotten + in 7 drawers
= 9/10
P(A Π B) = P(A) + P(B) - P(A U B) = P(A)
= 7/10 + 9/10 - 9/10 = 7/10
P(A | B) = [ 7/10 ] / [ 9/10 ] = 7/9
====================================
2. B' = paper is found in drawers 1 or 2 or 3 = 3/10
P(B) = paper is NOT found in drawers 1, 2 and 3 (any):
= 1/5 + 4/5 * 5/8 = 7/10
P(A) = paper is in drawers any of 4,5,6,7, or 8 = 5/10 = 1/2
P(A U B) = 2/5 + 1/2 = 9/10
P(A Π B ) = P(A) + P(B) - P(AUB)
= 1/2 + 7/10 - 9/10 = 3/10
P(A | B) = [ 3/10 ] / [7/10]
= 3/7
============================
3. [1/10] / [3/10]
this is done by using another method.
The paper is not put in the first 7 drawers. So the paper is forgotten to be put in to a drawer OR put in the 8th drawer. Both are exclusive events.
A = paper is put in 8th drawer
B = paper is forgotten to be put in a drawer
P(A Π B) = 0 and there are only two independent and exclusive events.
P(A | paper is not in 7 drawers) = P(A) / [ P(A) +P(B) ]
= [1/10] / [1/10 + 1/5] = 1/3
using the method like the above two parts 1 and 2:
B = paper is NOT in 7 drawers = 1 - 7/10 = 3/10 {OR, 1/5 + 1/10 = 3/10 }
A = paper is in the 8th drawer = 1/10
P(A U B) = 1/5 + 1/10 = 3/10
P(A Π B) = 3/10 + 1/10 - 3/10 = 1/10
P(A | B) = P(A Π B) / P(B) = [1/10] / [3/10] = 1/3
Probability that the paper is not lost or put into some drawer = 1 - 1/5 = 4/5
Probability that the paper is put in to a particular drawer = 4/5 * 1/8 = 1/10.
So probability that the paper is put in to 3rd drawer = 1/10
==============
1. P(A | B) = P(A Π B) / P(B)
Probability of event A given that event B occurred is the probability of A and B occurring together divided by probability of B.
A = paper is found in a drawer of the 7 remaining drawers.
B = paper is NOT found in the 1st drawer.
P(B) = paper is not put in any drawer + if it is put in a drawer then, paper is put in other 7 drawers
= 1/5 + 4/5 * 7/8 = 9/10
P(A) = 4/5 * 7/8 = 7/10
P(A U B) = 1/5 + 7/10 = forgotten + in 7 drawers
= 9/10
P(A Π B) = P(A) + P(B) - P(A U B) = P(A)
= 7/10 + 9/10 - 9/10 = 7/10
P(A | B) = [ 7/10 ] / [ 9/10 ] = 7/9
====================================
2. B' = paper is found in drawers 1 or 2 or 3 = 3/10
P(B) = paper is NOT found in drawers 1, 2 and 3 (any):
= 1/5 + 4/5 * 5/8 = 7/10
P(A) = paper is in drawers any of 4,5,6,7, or 8 = 5/10 = 1/2
P(A U B) = 2/5 + 1/2 = 9/10
P(A Π B ) = P(A) + P(B) - P(AUB)
= 1/2 + 7/10 - 9/10 = 3/10
P(A | B) = [ 3/10 ] / [7/10]
= 3/7
============================
3. [1/10] / [3/10]
this is done by using another method.
The paper is not put in the first 7 drawers. So the paper is forgotten to be put in to a drawer OR put in the 8th drawer. Both are exclusive events.
A = paper is put in 8th drawer
B = paper is forgotten to be put in a drawer
P(A Π B) = 0 and there are only two independent and exclusive events.
P(A | paper is not in 7 drawers) = P(A) / [ P(A) +P(B) ]
= [1/10] / [1/10 + 1/5] = 1/3
using the method like the above two parts 1 and 2:
B = paper is NOT in 7 drawers = 1 - 7/10 = 3/10 {OR, 1/5 + 1/10 = 3/10 }
A = paper is in the 8th drawer = 1/10
P(A U B) = 1/5 + 1/10 = 3/10
P(A Π B) = 3/10 + 1/10 - 3/10 = 1/10
P(A | B) = P(A Π B) / P(B) = [1/10] / [3/10] = 1/3
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