Calculating Probabilities with Spinner Outcomes: One Way or Another

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Discussion Overview

The discussion revolves around calculating the expected number of spins required until all three outcomes of a spinner are seen, given probabilities a, b, and c that sum to 1. Participants explore different methods to approach this problem, referencing the coupon collector's problem and comparing various formulations.

Discussion Character

  • Exploratory, Technical explanation, Debate/contested, Mathematical reasoning

Main Points Raised

  • One participant introduces the problem and suggests there are easier and harder methods to solve it.
  • Another participant relates the problem to the coupon collector's problem, providing a formula for the expected number of spins when probabilities are equal.
  • Concerns are raised about the correctness of the formula for cases where probabilities are not equal, with specific examples provided for comparison.
  • A participant acknowledges a mistake in their earlier formula, which affected the outcome, and presents a corrected version that aligns with previously mentioned results.
  • One participant shares their personal history with the problem, discussing how they learned different approaches over time and presenting a more complex method involving geometric progressions.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the best method or the correctness of the formulas for all cases. There are competing views on the validity of the approaches and the results obtained.

Contextual Notes

The discussion highlights the complexity of the problem and the potential for errors in mathematical reasoning, particularly when transitioning between different formulations. Some assumptions and dependencies on specific cases are noted but not resolved.

M R
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A spinner has three possible outcomes which occur with probabilities a, b and c where a+b+c=1.

What is the expected number of spins required until all three outcomes are seen?

There's an easy way and a harder way to do this. Guess which I did first.
 
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M R said:
A spinner has three possible outcomes which occur with probabilities a, b and c where a+b+c=1.

What is the expected number of spins required until all three outcomes are seen?

There's an easy way and a harder way to do this. Guess which I did first.
This is a variation on the coupon collector's problem. In the case when all the probabilities are equal ($a=b=c=1/3$), the expected number of spins is $3\bigl(1 +\frac12 + \frac13) = \frac{11}2.$

In the general case, I certainly don't see an easy way to approach the problem, and I don't get an easy-looking formula for the answer.

Write $A$, $B$, $C$ for the outcomes with probabilities $a$, $b$, $c$ respectively. If the first spin gives an $A$, then the expected number of spins until a $B$ or $C$ occurs is $\dfrac1{b+c}$. The probability that this outcome is a $B$ is $\dfrac b{b+c}$, in which case the expected number of further spins until a $C$ turns up is $1/c.$ And the probability that a $C$ occurs before a $B$ is $\dfrac c{b+c}$, in which case the expected number of further spins until a $B$ turns up is $1/b.$ Therefore the total expected number of spins for all three outcomes to occur (given that the $A$ appears first) is $$1 + \frac1{b+c}\Bigl(\frac b{b+c}\,\frac1c + \frac c{b+c}\,\frac1b\Bigr) = 1 + \frac{b^2+c^2}{(b+c)^2bc} = \frac1{bc} - \frac2{(1-a)^2}$$ (in the last step, I have written the $b^2+c^2$ in the numerator as $(b+c)^2 - 2bc$, and in the denominator $b+c = 1-a$).

Multiply that by $a$, which is the probability of the $A$ occurring first, add two similar terms for the probabilities of $B$ or $C$ occurring first, and you get the answer for the expected number of spins as $$ 1 + \frac{a^2+b^2+c^2}{abc} - 2\biggl(\frac a{(1-a)^2} + \frac b{(1-b)^2} + \frac c{(1-c)^2}\biggl).$$

That looks messy, not the sort of thing that you could find easily? But it does reduce to $11/2$ when $a=b=c=1/3$, which makes me think that it should be correct.
 
Hi Opalg

Maybe it wasn't easy but it was much easier than the other method which I will post if no one else does.

Your formula does give the right answer for a=b=c but not for other possibilities.

For comparison purposes:

a=1/2, b=1/3, c=1/6 should give 73/10

and

a=9/20, b=9/20, c=1/10 should give 353/33.
 
M R said:
Your formula does give the right answer for a=b=c but not for other possibilities.

For comparison purposes:

a=1/2, b=1/3, c=1/6 should give 73/10

and

a=9/20, b=9/20, c=1/10 should give 353/33.
Stupid stupid mistake! My method was correct but I left out a $+$ sign, converting a sum into a product. The expression $$1 + \frac1{b+c}\Bigl(\frac b{b+c}\,\frac1c + \frac c{b+c}\,\frac1b\Bigr)$$
(for the expected number of spins for all three outcomes to occur, given that the $A$ appears first) should have been $$1 + \frac1{b+c} + \Bigl(\frac b{b+c}\,\frac1c + \frac c{b+c}\,\frac1b\Bigr) = 1 + \frac{bc + b^2+c^2}{(b+c)bc} = 1 + \frac{(b+c)^2 - bc}{(b+c)bc} = 1 + \frac{b+c}{bc} - \frac1{b+c}. $$ The answer for the total expected number of spins then comes out as $$ 1 + \frac{a(b+c)}{bc} + \frac{b(c+a)}{ca} + \frac{c(a+b)}{ab} - \frac a{b+c} - \frac b{c+a} - \frac c{a+b}.$$ That gives values agreeing with your results for a=1/2, b=1/3, c=1/6 and for a=9/20, b=9/20, c=1/10.
 
The history of this problem (for me personally):

On another forum someone posted a 'hard probability question'. It was the a=b=9/20, c=1/10 case. Looking back at that forum I see that I managed to get an answer six days later. :o

Months later I saw a post on MHF which taught me a better approach so I went back and did it again, the easy way. :D Unfortunately I can't view MHF to find out who my teacher was.:(

I think it's essentially the same as Opalg's method but here's the 'easy' method as I did it:

Events A, B and C have probabilities a, b and c.

Let the expected waiting time until A occurs be E(W_A),

and the expected waiting time until A and B occur be E(W_{AB}) and so on.

E(W_{AB})=c(1+E(W_{AB}))+a(1+E(W_B))+b(1+E(W_A))

E(W_{AB})=c(1+E(W_{AB}))+a(1+1/b)+b(1+1/a)

E(W_{AB})=1 +cE(W_{AB})+a/b+b/a

E(W_{AB})=\frac{1+a/b+b/a}{1-c}

Similarly

E(W_{AC})=\frac{1+a/c+c/a}{1-b}

and

E(W_{BC})=\frac{1+b/c+c/b}{1-a}

Then E(W_{ABC})=a(1+E(W_{BC}))+b(1+E(W_{AC}))+c(1+E(W_{AB}))

and the method I used at first:

[sp]

By thinking about how the sequence ends I knew I wanted all the ways to get As and Bs ending with C etc.

ABC
BAC

AABC
ABAC
BAAC

ABBC
BABC
BBAC

etc.

This led me to the sum

\displaystyle E(W)=\sum_{n=2}^\infty (n+1) \sum_{r=1}^{n-1} \binom{n}{r}(a^rb^{n-r}c+a^rc^{n-r}b+b^rc^{n-r}a)

\displaystyle =\sum_{n=2}^\infty (n+1) [ c((a+b)^n-a^n-b^n) +b((a+c)^n-a^n-c^n)+a((b+c)^n-b^n-c^n)]

This sum involves a number of geometric progressions and a number of sums of another type.

The other type is of the form \displaystyle S=\sum_{n=2}^\infty n x^n.

Multiplying by \displaystyle x gives \displaystyle Sx=\sum_{n=2}^\infty n x^{n+1} and so \displaystyle S-Sx = 2x^2+x^3+x^4+...

\displaystyle S(1-x)=x^2 + \frac{x^2}{1-x} and \displaystyle S=\frac{x^2}{1-x}+\frac{x^2}{(1-x)^2}

Applying this formula, together with the formula for the sum of a GP we get

\displaystyle E(W)=

\displaystyle (a+b)^2-\frac{ca^2}{1-a}-\frac{cb^2}{1-b}

\displaystyle + (a+c)^2-\frac{ba^2}{1-a}-\frac{bc^2}{1-c}

\displaystyle + (b+c)^2-\frac{ab^2}{1-b}-\frac{ac^2}{1-c}

\displaystyle +(a+b)^2(1+1/c)-c\left(\frac{a^2}{1-a}+\frac{a^2}{(1-a)^2}+\frac{b^2}{1-b}+\frac{b^2}{(1-b)^2}\right)

\displaystyle +(a+c)^2(1+1/b)-b\left(\frac{a^2}{1-a}+\frac{a^2}{(1-a)^2}+\frac{c^2}{1-c}+\frac{c^2}{(1-c)^2}\right)

\displaystyle +(b+c)^2(1+1/a)-a\left(\frac{b^2}{1-b}+\frac{b^2}{(1-b)^2}+\frac{c^2}{1-c}+\frac{c^2}{(1-c)^2}\right)

What a mess!

This could be simplified using \displaystyle a+b+c=1 but having checked it against the first method I'm happy that it's correct and I'm not interested in doing the simplification. :p
[/SPOILER]
 

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