Find probability of certain event, total probability theorem

In summary: I'm afraid I don't understand this sentence.I'll try to explain my thought process about part b) :We want to find the probability for A given that the person has already answered correctly once, which I denoted P(A/B_2). We can calculate this by using Bayes' rule :P(A/B_2) = P(B_2/A) * P(A)/P(B_2)We can calculate P(B_2) by using the total probability theorem, and considering the events B_2 and !A (not A) :P(B_2) = P(B_2/A) * P(A) + P(B_2/!A) * P
  • #1
AndrejN96
26
0

Homework Statement


Suppose you're at a college campus. 3/4 of the people on the campus are students or professors from that college, and the rest 1/4 aren't. When asked a question, students and professors from that college will give you a correct answer every time, and those that aren't from the college will give you a correct answer 3/8th of the time.

a) You stop a random person and ask for directions to place A belonging on campus and he gives you an answer. What is the probability that the answer is true?

b) You ask the same person the same question again and he gives you the exact same answer. What is the probability that answer is correct now?

Homework Equations


Total probability theorem: P(A) = P(A|H1)P(H1) + P(A|H2)P(H2) + ... + P(A|Hn)P(Hn)

The Attempt at a Solution


Solution a):

Using the total probability theorem, I make two hypotheses:

H1:The person is from the college
H2:The person is not from the college

And the event:

A:The answer is correct
Then:

P(H1) = 3/4, P(H2) = 1/4, P(A|H1) = 1, P(A|H2) = 3/8

The probability for A would be:

P(A) = P(H1)P(A|H1) + P(H2)P(A|H2) = 3/4 + 1/4 * 3/8 = 0.84375

However, when it comes to part b), I am stuck. How do I proceed?
 
Physics news on Phys.org
  • #2
Question (b) is a bit weird because it assumes that a person has a truly random response, that is a specific person when asked the same question many times will have random response each time (though we know in real life this is not the case, usually the same person will reply to the same question with the same answer).

I am not sure (probably I am wrong in what I am saying but maybe I give you some inspiration towards the right answer), but I think what b) does is changing the probability that the asked person is from campus or outside. The probability distribution now will not be 3/4 (for campus members) and (1/4 for not campus members) but y for campus members, 1-y for not campus members where y>0. You have to calculate the y, while intuitively you can understand that y>3/4.
 
Last edited:
  • #3
AndrejN96 said:

Homework Statement


Suppose you're at a college campus. 3/4 of the people on the campus are students or professors from that college, and the rest 1/4 aren't. When asked a question, students and professors from that college will give you a correct answer every time, and those that aren't from the college will give you a correct answer 3/8th of the time.

a) You stop a random person and ask for directions to place A belonging on campus and he gives you an answer. What is the probability that the answer is true?

b) You ask the same person the same question again and he gives you the exact same answer. What is the probability that answer is correct now?

Homework Equations


Total probability theorem: P(A) = P(A|H1)P(H1) + P(A|H2)P(H2) + ... + P(A|Hn)P(Hn)

The Attempt at a Solution


Solution a):

Using the total probability theorem, I make two hypotheses:

H1:The person is from the college
H2:The person is not from the college

And the event:

A:The answer is correct
Then:

P(H1) = 3/4, P(H2) = 1/4, P(A|H1) = 1, P(A|H2) = 3/8

The probability for A would be:

P(A) = P(H1)P(A|H1) + P(H2)P(A|H2) = 3/4 + 1/4 * 3/8 = 0.84375

However, when it comes to part b), I am stuck. How do I proceed?

Like Delta2 I, too, find the second question a bit strange, or at least highly ambiguous. There are two possible interpretations: (1) 3/8 of the non-college people will give correct answers (but the same person asked the same question twice of more will give the same answer---just because it is the same person). (2) A non-college person gives random answers, correct 3/8 of the time; in this case the same such person can give a different answer to exactly the same question asked twice or more times.

However, I do not agree that the 3/4-1/4 probabilities will be changed by knowing the first answer unless you can verify the truth of the same answer before asking the question again. In case (1), asking the question any number of times (without checking the truth of the answer before additional askings) will have no effect. In case (2), the situation is akin to tossing a coin twice and asking for the probability of getting Heads twice in a row (again, under the assumption that the truth of the first answer is not checked before asking the second question).
 
  • #4
Ray Vickson said:
Like Delta2 I, too, find the second question a bit strange, or at least highly ambiguous. There are two possible interpretations: (1) 3/8 of the non-college people will give correct answers (but the same person asked the same question twice of more will give the same answer---just because it is the same person). (2) A non-college person gives random answers, correct 3/8 of the time; in this case the same such person can give a different answer to exactly the same question asked twice or more times.
I'm almost sure (2) is intended, but reading the question quite literally suggests a third interpretation: that the non-collegiate folk count, giving exactly 3 correct answers to each sequence of 8 questions. Without knowing the pattern, this would imply that TF and FT each have a 15/56 chance, TT a 6/56 chance, and FF a 20/56 chance.
 
  • #5
I think we need to define an event ##B_n##: The answer remains the same the ##n##th time (we ask the same question to the same person).
##A## is as defined in the OP.

The problem asks for ##P(A/B_2)## though ##P(A/B_n)## might also be interesting to calculate.
 
  • #6
Delta² said:
I think we need to define an event ##B_n##: The answer remains the same the ##n##th time (we ask the same question to the same person).
##A## is as defined in the OP.

The problem asks for ##P(A/B_2)## though ##P(A/B_n)## might also be interesting to calculate.

Sorry: I mis-interpreted what you wrote in #2. Indeed, given the answer to two questions, that will change the 1/4-3/4 probabilities. (However, without checking the veracity of the first answer, the 1/4-3/4 ratio would remain unchanged from the first to the second question.)
 
  • #7
Ray Vickson said:
Sorry: I mis-interpreted what you wrote in #2. Indeed, given the answer to two questions, that will change the 1/4-3/4 probabilities. (However, without checking the veracity of the first answer, the 1/4-3/4 ratio would remain unchanged from the first to the second question.)
I wasn't sure when I was writing that, what I was actually referring too is the probability ##P(H_i/B_n)## , purely intuitively we expect ##\lim_{n \to \infty}P(H_1/B_n)=1##
 

Related to Find probability of certain event, total probability theorem

What is the definition of probability?

Probability is a measure of the likelihood of an event occurring. It is expressed as a number between 0 and 1, where 0 indicates impossibility and 1 indicates certainty.

What is the total probability theorem?

The total probability theorem is a fundamental principle in probability theory that states that the sum of the probabilities of all possible outcomes of an event must equal 1.

How do you calculate the probability of a certain event?

To calculate the probability of a certain event, you must divide the number of favorable outcomes by the total number of possible outcomes. This can be expressed as a fraction or a decimal.

Can probability be greater than 1 or less than 0?

No, probability cannot be greater than 1 or less than 0. If the calculated probability is greater than 1, it means that the event is certain to occur. If it is less than 0, it means that the event is impossible.

What is the relationship between probability and statistics?

Probability is the theoretical foundation of statistics. It helps us understand the likelihood of different outcomes and make informed decisions based on data. Statistics, on the other hand, involves collecting, analyzing, and interpreting data to make predictions and draw conclusions.

Similar threads

  • Precalculus Mathematics Homework Help
Replies
18
Views
909
  • Precalculus Mathematics Homework Help
2
Replies
36
Views
2K
  • Precalculus Mathematics Homework Help
Replies
2
Views
2K
  • Precalculus Mathematics Homework Help
Replies
6
Views
992
  • Precalculus Mathematics Homework Help
Replies
7
Views
2K
  • Precalculus Mathematics Homework Help
Replies
2
Views
1K
  • Precalculus Mathematics Homework Help
Replies
16
Views
2K
  • Precalculus Mathematics Homework Help
Replies
5
Views
3K
  • Precalculus Mathematics Homework Help
Replies
14
Views
2K
  • Precalculus Mathematics Homework Help
Replies
15
Views
1K
Back
Top