Probablity problem using series

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Now, to solve the two equations. The first equation can be rewritten: (1/6)/b = 1 + (5/6)*f/b. But f/b = (5/6) and so (1/6)/b = 1 + (5/6)^2. Now, recall that b = 1/6 + (5/6)*f. So, substitute for b in the rewritten form of the first equation. You'll have an equation involving only f. Solving it gives f = 5/11. And that, in turn, gives b = 6/11.
  • #1
toothpaste666
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Homework Statement



Professors Bob and Fred cannot decide who should buy a new kite. In order to
decide, they play a game. They take it is turns to throw a (standard, six-sided) die, with Professor
Bob going fi rst. The winner of the game is the fi rst one to throw a 4. For example, Professor Bob
wins if he throws a 4 immediately or the results are
non-4 for Bob, non-4 for Fred, 4 for Bob
or
non-4 for Bob, non-4 for Fred, non-4 for Bob, non-4 for Fred, 4 for Bob
and so on.
Find the probability that Professor Bob wins. (Hint: the calculation requires a certain type of
series)

Homework Equations



[itex] \frac{a}{1-r} [/itex]

The Attempt at a Solution



Bobs first turn he has 1/6 chance of rolling a 4. If it goes to his second turn that means that he did not throw a 4 the first turn and also that Fred did not throw a 4 on his turn so his chances of rolling a 4 on the second turn are 5/6 * 5/6 * 1/6. To analyze the chances of Bob rolling a 4 on his first 3 turns:

[itex] \frac{1}{6} + (\frac{5}{6} * \frac{5}{6} * \frac{1}{6}) + (\frac{5}{6} * \frac{5}{6} * \frac{5}{6} * \frac{5}{6} * \frac{1}{6}) [/itex]

[itex] \frac{1}{6} + (\frac{5}{6})^2 \frac{1}{6} +(\frac{5}{6})^4 \frac{1}{6} [/itex]

This is a geometric series where the first term is 1/6 and the common ratio is (5/6)^2
plugging this into a/(1-r) we have:

[itex] \frac{\frac{1}{6}}{\frac{36}{36} - \frac{25}{36}} [/itex]

[itex] \frac{1}{6} * \frac{36}{11} [/itex]

[itex] \frac{6}{11} [/itex]

So Bob's chance of winning would be 6/11. This seems to make sense because they would have just about the same chances of winning except Bob's would be slightly more because he goes first which leaves the chance of him winning without Fred even having a turn. Is this the correct answer/approach to this problem?
 
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  • #2
toothpaste666 said:

Homework Statement



Professors Bob and Fred cannot decide who should buy a new kite. In order to
decide, they play a game. They take it is turns to throw a (standard, six-sided) die, with Professor
Bob going fi rst. The winner of the game is the fi rst one to throw a 4. For example, Professor Bob
wins if he throws a 4 immediately or the results are
non-4 for Bob, non-4 for Fred, 4 for Bob
or
non-4 for Bob, non-4 for Fred, non-4 for Bob, non-4 for Fred, 4 for Bob
and so on.
Find the probability that Professor Bob wins. (Hint: the calculation requires a certain type of
series)

Homework Equations



[itex] \frac{a}{1-r} [/itex]

The Attempt at a Solution



Bobs first turn he has 1/6 chance of rolling a 4. If it goes to his second turn that means that he did not throw a 4 the first turn and also that Fred did not throw a 4 on his turn so his chances of rolling a 4 on the second turn are 5/6 * 5/6 * 1/6. To analyze the chances of Bob rolling a 4 on his first 3 turns:

[itex] \frac{1}{6} + (\frac{5}{6} * \frac{5}{6} * \frac{1}{6}) + (\frac{5}{6} * \frac{5}{6} * \frac{5}{6} * \frac{5}{6} * \frac{1}{6}) [/itex]

[itex] \frac{1}{6} + (\frac{5}{6})^2 \frac{1}{6} +(\frac{5}{6})^4 \frac{1}{6} [/itex]

This is a geometric series where the first term is 1/6 and the common ratio is (5/6)^2
plugging this into a/(1-r) we have:

[itex] \frac{\frac{1}{6}}{\frac{36}{36} - \frac{25}{36}} [/itex]

[itex] \frac{1}{6} * \frac{36}{11} [/itex]

[itex] \frac{6}{11} [/itex]

So Bob's chance of winning would be 6/11. This seems to make sense because they would have just about the same chances of winning except Bob's would be slightly more because he goes first which leaves the chance of him winning without Fred even having a turn. Is this the correct answer/approach to this problem?

Your answer and approach are correct. There is another way that is perhaps more intuitive and more "probabilistic". Let b = probability that Bob wins, given that Bob goes first, and f = probability that Bob wins, given that Fred goes first. We have
[tex] b = \frac{1}{6} + \frac{5}{6} f \; \longleftarrow \text{do you see why?}\\
f = \frac{5}{6} b [/tex]
The second equation above follows from the fact that if Bob is to win when Fred goes first, Fred's first toss must not be a '4', and then after that, everything is the same, but now with Bob going first.

Solving the two equations gives ## b = 6/11, f = 5/11##.
 
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  • #3
Can you explain that a little bit more? It seems a lot more efficient than what I did, but I don't fully understand it.
 
  • #4
toothpaste666 said:
Can you explain that a little bit more? It seems a lot more efficient than what I did, but I don't fully understand it.

If Bob starts he wins immediately if he gets '4'; the probability of that is 1/6. Otherwise, Bob wins when Fred goes first following Bob's initial non-4, and the probability of that sequence is (5/6)*f. Those are the two ways Bob can win going first, so b = 1/6 + (5/6)*f. For Bob to win when Fred goes first, two things must happen in sequence: first, Fred has to get a non-4 (probability = 5/6) and then Bob wins eventually while going first (for the remainder of the games). The probability of that sequence is (5/6)*b, so f = (5/6)*b.
 

Related to Probablity problem using series

What is a probability problem using series?

A probability problem using series is a type of mathematical problem that involves calculating the likelihood of a specific outcome or event occurring within a series of events. This can involve using formulas such as the binomial distribution or the geometric distribution to determine the probability of a specific outcome.

What are some common examples of probability problems using series?

Some common examples of probability problems using series include coin flips, dice rolls, and card draws. These often involve calculating the probability of a certain number of heads or tails, specific numbers on a die, or certain cards being drawn from a deck.

What are some strategies for solving probability problems using series?

Some strategies for solving probability problems using series include breaking the problem down into smaller, more manageable parts, using diagrams or tables to organize information, and understanding the underlying probability distributions being used.

How do you know which probability distribution to use in a series problem?

The choice of probability distribution will depend on the nature of the problem and the type of events being studied. For example, the binomial distribution is commonly used for problems involving a fixed number of trials with two possible outcomes, while the geometric distribution is often used for problems involving a series of independent trials with a constant probability of success.

What are some real-world applications of probability problems using series?

Probability problems using series can be applied to a wide range of real-world situations, such as predicting the likelihood of a certain outcome in a game of chance, calculating the probability of a certain disease spreading within a population, or estimating the chances of winning a lottery. They are also commonly used in fields such as finance, engineering, and biology for making predictions and analyzing data.

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