What is the conditional probability distribution for who wrote this particular exam?

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A small course has 3 students, $B$, $C$ and $D$. Based on the previous
testscores of these students we know that $B$ usually scores $80$%
correct on the exam questions, $C$ scores $60$% and $D$ scores $40$%.
The anonymous test that is now corrected has $4$ correct answers out
of $8$. What is the conditional probability distribution for who took
this particular exam?




This just doesn't want to work. I know Baye's theorem is of use here and possibly the Law of total probability.



Let $B=1, C=2$ and $D=3.$ Now also let $A_i, i=1,2,3$ be the event that person $A_i$ took the test and $X= $number of correctly answered question on the test. We are thus looking for



$$P(A_i|X=4)=fracP(X=4P(X=4).$$



This did not make anything simpler. The only thing I now in the RHS is that $P(A_i)=1/3.$







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  • Perhaps the title should be revised?
    – Michael Burr
    May 29 at 18:13










  • @MichaelBurr. Done! Sorry about that.
    – Parseval
    May 29 at 19:44














up vote
2
down vote

favorite













A small course has 3 students, $B$, $C$ and $D$. Based on the previous
testscores of these students we know that $B$ usually scores $80$%
correct on the exam questions, $C$ scores $60$% and $D$ scores $40$%.
The anonymous test that is now corrected has $4$ correct answers out
of $8$. What is the conditional probability distribution for who took
this particular exam?




This just doesn't want to work. I know Baye's theorem is of use here and possibly the Law of total probability.



Let $B=1, C=2$ and $D=3.$ Now also let $A_i, i=1,2,3$ be the event that person $A_i$ took the test and $X= $number of correctly answered question on the test. We are thus looking for



$$P(A_i|X=4)=fracP(X=4P(X=4).$$



This did not make anything simpler. The only thing I now in the RHS is that $P(A_i)=1/3.$







share|cite|improve this question






















  • Perhaps the title should be revised?
    – Michael Burr
    May 29 at 18:13










  • @MichaelBurr. Done! Sorry about that.
    – Parseval
    May 29 at 19:44












up vote
2
down vote

favorite









up vote
2
down vote

favorite












A small course has 3 students, $B$, $C$ and $D$. Based on the previous
testscores of these students we know that $B$ usually scores $80$%
correct on the exam questions, $C$ scores $60$% and $D$ scores $40$%.
The anonymous test that is now corrected has $4$ correct answers out
of $8$. What is the conditional probability distribution for who took
this particular exam?




This just doesn't want to work. I know Baye's theorem is of use here and possibly the Law of total probability.



Let $B=1, C=2$ and $D=3.$ Now also let $A_i, i=1,2,3$ be the event that person $A_i$ took the test and $X= $number of correctly answered question on the test. We are thus looking for



$$P(A_i|X=4)=fracP(X=4P(X=4).$$



This did not make anything simpler. The only thing I now in the RHS is that $P(A_i)=1/3.$







share|cite|improve this question















A small course has 3 students, $B$, $C$ and $D$. Based on the previous
testscores of these students we know that $B$ usually scores $80$%
correct on the exam questions, $C$ scores $60$% and $D$ scores $40$%.
The anonymous test that is now corrected has $4$ correct answers out
of $8$. What is the conditional probability distribution for who took
this particular exam?




This just doesn't want to work. I know Baye's theorem is of use here and possibly the Law of total probability.



Let $B=1, C=2$ and $D=3.$ Now also let $A_i, i=1,2,3$ be the event that person $A_i$ took the test and $X= $number of correctly answered question on the test. We are thus looking for



$$P(A_i|X=4)=fracP(X=4P(X=4).$$



This did not make anything simpler. The only thing I now in the RHS is that $P(A_i)=1/3.$









share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Aug 17 at 19:50

























asked May 29 at 18:11









Parseval

2,6501615




2,6501615











  • Perhaps the title should be revised?
    – Michael Burr
    May 29 at 18:13










  • @MichaelBurr. Done! Sorry about that.
    – Parseval
    May 29 at 19:44
















  • Perhaps the title should be revised?
    – Michael Burr
    May 29 at 18:13










  • @MichaelBurr. Done! Sorry about that.
    – Parseval
    May 29 at 19:44















Perhaps the title should be revised?
– Michael Burr
May 29 at 18:13




Perhaps the title should be revised?
– Michael Burr
May 29 at 18:13












@MichaelBurr. Done! Sorry about that.
– Parseval
May 29 at 19:44




@MichaelBurr. Done! Sorry about that.
– Parseval
May 29 at 19:44










2 Answers
2






active

oldest

votes

















up vote
2
down vote



accepted










$P(X=4|A) = 8choose 4 0.8^4(1-0.8)^4\
P(X=4|B) = 8choose 4 0.6^4(1-0.6)^4$



etc.



$P(B|X = 4) = frac P(X=4P(X=4$






share|cite|improve this answer






















  • I believe you mean P(X = 4|A) in the first line, rather than P(X = 4|B).
    – Acccumulation
    May 29 at 18:29










  • Probably, and I think I will change it. But the first sentence says that the students in the class are $B,C$ and $D$
    – Doug M
    May 29 at 18:30










  • Whoops, I missed that the students' names start at B. That's a bit confusing.
    – Acccumulation
    May 29 at 18:34










  • The whole question is poorly edited. I probably should have just voted to close, but I really don't like closing people's questions.
    – Doug M
    May 29 at 18:35










  • @DougM - This answer is correct. But If you are using Baye's, where does $P(B)$ go? And why could you split up the denominator like that? Can you elaborate on the steps inbetween?
    – Parseval
    May 29 at 20:39

















up vote
3
down vote













Based on the information provided, it is not possible to give an answer. You are given B, C and D's mean (or, depending on interpretation of "usual", median or mode), but that is not directly relevant. You need to know not what A$_i$'s "usual" score is, but what the percentage of the exams they get 50% is. The only approach I can see is assuming that each student's scores have a binomial distribution with p = .8, .6, and .4, respectively. You could then calculate the P(X = 4) for each of those distributions. (Note that by symmetry, C and D should have the same probability of being the person who took the exam).



You also need a prior distribution, and while "all priors are 1/3" is a reasonable assumption, it is not explicitly stated.



Also note that in American English, to write an exam means to come up with the questions on the exam (and thus, the person who writes the exam is generally the instructor), not to take the exam.






share|cite|improve this answer






















  • Thanks, In the exam writers solution it seems he assumes all priors are 1/3. Thanks for the linguistic input also, edited accordingly!
    – Parseval
    May 29 at 20:36










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2 Answers
2






active

oldest

votes








2 Answers
2






active

oldest

votes









active

oldest

votes






active

oldest

votes








up vote
2
down vote



accepted










$P(X=4|A) = 8choose 4 0.8^4(1-0.8)^4\
P(X=4|B) = 8choose 4 0.6^4(1-0.6)^4$



etc.



$P(B|X = 4) = frac P(X=4P(X=4$






share|cite|improve this answer






















  • I believe you mean P(X = 4|A) in the first line, rather than P(X = 4|B).
    – Acccumulation
    May 29 at 18:29










  • Probably, and I think I will change it. But the first sentence says that the students in the class are $B,C$ and $D$
    – Doug M
    May 29 at 18:30










  • Whoops, I missed that the students' names start at B. That's a bit confusing.
    – Acccumulation
    May 29 at 18:34










  • The whole question is poorly edited. I probably should have just voted to close, but I really don't like closing people's questions.
    – Doug M
    May 29 at 18:35










  • @DougM - This answer is correct. But If you are using Baye's, where does $P(B)$ go? And why could you split up the denominator like that? Can you elaborate on the steps inbetween?
    – Parseval
    May 29 at 20:39














up vote
2
down vote



accepted










$P(X=4|A) = 8choose 4 0.8^4(1-0.8)^4\
P(X=4|B) = 8choose 4 0.6^4(1-0.6)^4$



etc.



$P(B|X = 4) = frac P(X=4P(X=4$






share|cite|improve this answer






















  • I believe you mean P(X = 4|A) in the first line, rather than P(X = 4|B).
    – Acccumulation
    May 29 at 18:29










  • Probably, and I think I will change it. But the first sentence says that the students in the class are $B,C$ and $D$
    – Doug M
    May 29 at 18:30










  • Whoops, I missed that the students' names start at B. That's a bit confusing.
    – Acccumulation
    May 29 at 18:34










  • The whole question is poorly edited. I probably should have just voted to close, but I really don't like closing people's questions.
    – Doug M
    May 29 at 18:35










  • @DougM - This answer is correct. But If you are using Baye's, where does $P(B)$ go? And why could you split up the denominator like that? Can you elaborate on the steps inbetween?
    – Parseval
    May 29 at 20:39












up vote
2
down vote



accepted







up vote
2
down vote



accepted






$P(X=4|A) = 8choose 4 0.8^4(1-0.8)^4\
P(X=4|B) = 8choose 4 0.6^4(1-0.6)^4$



etc.



$P(B|X = 4) = frac P(X=4P(X=4$






share|cite|improve this answer














$P(X=4|A) = 8choose 4 0.8^4(1-0.8)^4\
P(X=4|B) = 8choose 4 0.6^4(1-0.6)^4$



etc.



$P(B|X = 4) = frac P(X=4P(X=4$







share|cite|improve this answer














share|cite|improve this answer



share|cite|improve this answer








edited May 29 at 18:31

























answered May 29 at 18:22









Doug M

39.4k31749




39.4k31749











  • I believe you mean P(X = 4|A) in the first line, rather than P(X = 4|B).
    – Acccumulation
    May 29 at 18:29










  • Probably, and I think I will change it. But the first sentence says that the students in the class are $B,C$ and $D$
    – Doug M
    May 29 at 18:30










  • Whoops, I missed that the students' names start at B. That's a bit confusing.
    – Acccumulation
    May 29 at 18:34










  • The whole question is poorly edited. I probably should have just voted to close, but I really don't like closing people's questions.
    – Doug M
    May 29 at 18:35










  • @DougM - This answer is correct. But If you are using Baye's, where does $P(B)$ go? And why could you split up the denominator like that? Can you elaborate on the steps inbetween?
    – Parseval
    May 29 at 20:39
















  • I believe you mean P(X = 4|A) in the first line, rather than P(X = 4|B).
    – Acccumulation
    May 29 at 18:29










  • Probably, and I think I will change it. But the first sentence says that the students in the class are $B,C$ and $D$
    – Doug M
    May 29 at 18:30










  • Whoops, I missed that the students' names start at B. That's a bit confusing.
    – Acccumulation
    May 29 at 18:34










  • The whole question is poorly edited. I probably should have just voted to close, but I really don't like closing people's questions.
    – Doug M
    May 29 at 18:35










  • @DougM - This answer is correct. But If you are using Baye's, where does $P(B)$ go? And why could you split up the denominator like that? Can you elaborate on the steps inbetween?
    – Parseval
    May 29 at 20:39















I believe you mean P(X = 4|A) in the first line, rather than P(X = 4|B).
– Acccumulation
May 29 at 18:29




I believe you mean P(X = 4|A) in the first line, rather than P(X = 4|B).
– Acccumulation
May 29 at 18:29












Probably, and I think I will change it. But the first sentence says that the students in the class are $B,C$ and $D$
– Doug M
May 29 at 18:30




Probably, and I think I will change it. But the first sentence says that the students in the class are $B,C$ and $D$
– Doug M
May 29 at 18:30












Whoops, I missed that the students' names start at B. That's a bit confusing.
– Acccumulation
May 29 at 18:34




Whoops, I missed that the students' names start at B. That's a bit confusing.
– Acccumulation
May 29 at 18:34












The whole question is poorly edited. I probably should have just voted to close, but I really don't like closing people's questions.
– Doug M
May 29 at 18:35




The whole question is poorly edited. I probably should have just voted to close, but I really don't like closing people's questions.
– Doug M
May 29 at 18:35












@DougM - This answer is correct. But If you are using Baye's, where does $P(B)$ go? And why could you split up the denominator like that? Can you elaborate on the steps inbetween?
– Parseval
May 29 at 20:39




@DougM - This answer is correct. But If you are using Baye's, where does $P(B)$ go? And why could you split up the denominator like that? Can you elaborate on the steps inbetween?
– Parseval
May 29 at 20:39










up vote
3
down vote













Based on the information provided, it is not possible to give an answer. You are given B, C and D's mean (or, depending on interpretation of "usual", median or mode), but that is not directly relevant. You need to know not what A$_i$'s "usual" score is, but what the percentage of the exams they get 50% is. The only approach I can see is assuming that each student's scores have a binomial distribution with p = .8, .6, and .4, respectively. You could then calculate the P(X = 4) for each of those distributions. (Note that by symmetry, C and D should have the same probability of being the person who took the exam).



You also need a prior distribution, and while "all priors are 1/3" is a reasonable assumption, it is not explicitly stated.



Also note that in American English, to write an exam means to come up with the questions on the exam (and thus, the person who writes the exam is generally the instructor), not to take the exam.






share|cite|improve this answer






















  • Thanks, In the exam writers solution it seems he assumes all priors are 1/3. Thanks for the linguistic input also, edited accordingly!
    – Parseval
    May 29 at 20:36














up vote
3
down vote













Based on the information provided, it is not possible to give an answer. You are given B, C and D's mean (or, depending on interpretation of "usual", median or mode), but that is not directly relevant. You need to know not what A$_i$'s "usual" score is, but what the percentage of the exams they get 50% is. The only approach I can see is assuming that each student's scores have a binomial distribution with p = .8, .6, and .4, respectively. You could then calculate the P(X = 4) for each of those distributions. (Note that by symmetry, C and D should have the same probability of being the person who took the exam).



You also need a prior distribution, and while "all priors are 1/3" is a reasonable assumption, it is not explicitly stated.



Also note that in American English, to write an exam means to come up with the questions on the exam (and thus, the person who writes the exam is generally the instructor), not to take the exam.






share|cite|improve this answer






















  • Thanks, In the exam writers solution it seems he assumes all priors are 1/3. Thanks for the linguistic input also, edited accordingly!
    – Parseval
    May 29 at 20:36












up vote
3
down vote










up vote
3
down vote









Based on the information provided, it is not possible to give an answer. You are given B, C and D's mean (or, depending on interpretation of "usual", median or mode), but that is not directly relevant. You need to know not what A$_i$'s "usual" score is, but what the percentage of the exams they get 50% is. The only approach I can see is assuming that each student's scores have a binomial distribution with p = .8, .6, and .4, respectively. You could then calculate the P(X = 4) for each of those distributions. (Note that by symmetry, C and D should have the same probability of being the person who took the exam).



You also need a prior distribution, and while "all priors are 1/3" is a reasonable assumption, it is not explicitly stated.



Also note that in American English, to write an exam means to come up with the questions on the exam (and thus, the person who writes the exam is generally the instructor), not to take the exam.






share|cite|improve this answer














Based on the information provided, it is not possible to give an answer. You are given B, C and D's mean (or, depending on interpretation of "usual", median or mode), but that is not directly relevant. You need to know not what A$_i$'s "usual" score is, but what the percentage of the exams they get 50% is. The only approach I can see is assuming that each student's scores have a binomial distribution with p = .8, .6, and .4, respectively. You could then calculate the P(X = 4) for each of those distributions. (Note that by symmetry, C and D should have the same probability of being the person who took the exam).



You also need a prior distribution, and while "all priors are 1/3" is a reasonable assumption, it is not explicitly stated.



Also note that in American English, to write an exam means to come up with the questions on the exam (and thus, the person who writes the exam is generally the instructor), not to take the exam.







share|cite|improve this answer














share|cite|improve this answer



share|cite|improve this answer








edited May 29 at 18:33

























answered May 29 at 18:25









Acccumulation

5,2162515




5,2162515











  • Thanks, In the exam writers solution it seems he assumes all priors are 1/3. Thanks for the linguistic input also, edited accordingly!
    – Parseval
    May 29 at 20:36
















  • Thanks, In the exam writers solution it seems he assumes all priors are 1/3. Thanks for the linguistic input also, edited accordingly!
    – Parseval
    May 29 at 20:36















Thanks, In the exam writers solution it seems he assumes all priors are 1/3. Thanks for the linguistic input also, edited accordingly!
– Parseval
May 29 at 20:36




Thanks, In the exam writers solution it seems he assumes all priors are 1/3. Thanks for the linguistic input also, edited accordingly!
– Parseval
May 29 at 20:36












 

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