Probability that 3 people are born on different months from each other

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Homework Help Overview

The discussion revolves around calculating the probability that three individuals are born in different months. The original poster attempts to derive this probability using a reasoning based on pairwise comparisons of birth months.

Discussion Character

  • Exploratory, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore the reasoning behind the original poster's calculations and question the assumptions regarding independence of events. They suggest considering the total choices of months and how to count valid combinations that satisfy the condition of different birth months.

Discussion Status

Participants are actively engaging with the problem, offering alternative perspectives and questioning the original reasoning. Some guidance has been provided regarding the counting approach and the importance of considering independence in probability calculations.

Contextual Notes

The problem specifies that no two individuals can share the same birth month, and it is assumed that the probability of being born in any month is equally likely. There is an ongoing exploration of how to properly account for the choices available for each individual.

torquerotates
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Homework Statement



find the probability that 3 people are born on different months from each other

The Attempt at a Solution



So here's my reasoning. There are 3 people X1, X2, X3. Let (Xi,Xj) denote the pair have different birthmonths. P[(X1,X2) and (X2,X3) and (X3,X1)]=P(X1,X2)*P(X2,X3)*P(X3,X1)

Well P(Xi,Xj)=11/12
thus P[(X1,X2) and (X2,X3) and (X3,X1)]=P(X1,X2)*P(X2,X3)*P(X3,X1)=(11/12)^3

But that is not the answer. My book said the answer is (11/12)*(10/12).

I don't see what is wrong with my reasoning. for the 3 to have different birthmonths, any two would have different birthmonths. X1 different from X2, X2 from X3, X3 from X1.
 
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Do you mean that no two are born in the same month, or that it is not the case that the three are born in the same month, and that you are assuming that the probability of being born in any month is equally-likely ?
 
Sorry. The question mentions that no two people are born on the same month. Also, the probability being born in any month is equality likely.
 
Sorry, my quote function does not work. Notice that X1,X2 may have been born in different months, and same for X2,X3, but it is still possible for X1,X3 to have been born in the same month as each other.

Basically: how many total choices of months are there for the 3 people to have been born in? And, out of all those choices, how many satisfy your condition ? One way of seeing the last is that, once X1, say has "chosen" a month to be born in, then you don't consider that choice for X2, and so on. Try a tree in which the root is the month X1 is born in, and where that month is no longer considered for X2, etc.
 
Bacle2 said:
Notice that X1,X2 may have been born in different months, and same for X2,X3, but it is still possible for X1,X3 to have been born in the same month as each other.
.

I think i accounted for X1 and X3 when i set up the equation P[(X1,X2) and (X2,X3) and (X3,X1)]=P(X1,X2)*P(X2,X3)*P(X3,X1). There are only 3 combinations where any two cannot be equal to each other.
 
Bacle2 said:
Basically: how many total choices of months are there for the 3 people to have been born in? And, out of all those choices, how many satisfy your condition ? One way of seeing the last is that, once X1, say has "chosen" a month to be born in, then you don't consider that choice for X2, and so on. Try a tree in which the root is the month X1 is born in, and where that month is no longer considered for X2, etc.

Thanks. That makes sense. I didn't think of approaching the problem this way at first. The most intuitive way for me to approach counting isn't to take up one slot at a time but to consider the whole picture like looking at the set of 3 and then taking 3C2.
 
I agree it is a good idea to look at the big picture and to experiment, but it is also good to have a more formal way to fall back on, to check your other approaches. The issue of whether you are double-counting or not in considering (xi,xj) as you did is tricky, and so is the independence. Maybe testing against the more formal way would help.
 
torquerotates said:
I think i accounted for X1 and X3 when i set up the equation P[(X1,X2) and (X2,X3) and (X3,X1)]=P(X1,X2)*P(X2,X3)*P(X3,X1). There are only 3 combinations where any two cannot be equal to each other.
This formula (the joint probability is the product of the probabilities of the individual events) is only valid if the individual events are independent of one another. What are your events, and are they truly independent events?

BTW, the answer in your book, (11/12)*(10/12), is correct.
 

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