Conditional probability & r balls randomly distributed in n cells

AI Thread Summary
The problem involves calculating the conditional probability of triple occupancy in a scenario where seven balls are randomly distributed in seven cells, given that two cells are empty. The correct interpretation requires recognizing that the sample space changes when two cells are confirmed empty, leading to 315 possible arrangements. The initial misunderstanding stemmed from focusing on indistinguishable configurations without accounting for the frequency of certain arrangements. Ultimately, the solution confirms that the conditional probability of triple occupancy equals 1/4, which can be verified using Feller's reference table. Understanding the nuances of the problem is crucial for arriving at the correct probability.
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Conditional probability & "r balls randomly distributed in n cells"

Homework Statement



I'm posting this in hope that someone can give me a correct interpretation of the following problem (problem V.8 of Feller's Introduction to probability theory and its applications VOL I):

8. Seven balls are distributed randomly in seven cells. Given that two cells are empty, show that the (conditional) probability of a triple occupancy of some cells equals 1/4. Verify this numerically using table 1 of II,5.

Homework Equations



Conditional probability:
P\left \{A|B\right \} = \frac{P\left \{AB\right \}}{P\left \{B\right \}}
Number of ways of distributing r indistinguishable balls in n cells:
\binom{n+r-1}{r}
Number of ways of distributing r indistinguishable balls in n cells and no cell remaining empty:
\binom{r-1}{n-1}

The Attempt at a Solution



I cannot arrive at the 1/4 figure, so I thought this may be due to a misunderstanding of the problem statement. The way I interpreted the problem is saying that the new sample space is the same as if any 2 of the seven cells turn out to be empty, giving 315 possible arrangements:
\binom{7}{2}\binom{7-1}{5-1} = 315
With this scheme, only one cell of the remaining 5 can be triply occupied, because that leaves us with distributing the remaining 4 balls in the remaining 4 cells and no cell remaining empty. If we ignore the common factor 7 choose 2 = 21:
\frac{5}{\binom{7-1}{5-1}} = \frac{1}{3}
 
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jfierro said:

Homework Statement



I'm posting this in hope that someone can give me a correct interpretation of the following problem (problem V.8 of Feller's Introduction to probability theory and its applications VOL I):

8. Seven balls are distributed randomly in seven cells. Given that two cells are empty, show that the (conditional) probability of a triple occupancy of some cells equals 1/4. Verify this numerically using table 1 of II,5.

Homework Equations



Conditional probability:
P\left \{A|B\right \} = \frac{P\left \{AB\right \}}{P\left \{B\right \}}
Number of ways of distributing r indistinguishable balls in n cells:
\binom{n+r-1}{r}
Number of ways of distributing r indistinguishable balls in n cells and no cell remaining empty:
\binom{r-1}{n-1}

The Attempt at a Solution



I cannot arrive at the 1/4 figure, so I thought this may be due to a misunderstanding of the problem statement. The way I interpreted the problem is saying that the new sample space is the same as if any 2 of the seven cells turn out to be empty, giving 315 possible arrangements:
\binom{7}{2}\binom{7-1}{5-1} = 315
With this scheme, only one cell of the remaining 5 can be triply occupied, because that leaves us with distributing the remaining 4 balls in the remaining 4 cells and no cell remaining empty. If we ignore the common factor 7 choose 2 = 21:
\frac{5}{\binom{7-1}{5-1}} = \frac{1}{3}

Presumably you are supposed to come up with some clever direct argument, but barring that, Feller's hint will give you what you want (except for roundoff errors---which can be eliminated by going to exact rational expressions). Just consult Table I of II,5. What entries have exactly two cells empty? Among those, what entries have have triple entry cells?

RGV
 


Thanks, now I got the correct answer. I guess my mistake was approaching the problem from "the number of indistinguishable configurations", ignoring that some of those configurations would appear more often than others.
 
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