Probability problem from Pokemon cards

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Discussion Overview

The discussion revolves around a probability problem related to a Pokémon card attack that involves flipping a coin until tails appears, with damage calculated based on the number of heads flipped. Participants explore the probability of the attack dealing more than 60 damage and the average damage over repeated trials, touching on concepts of geometric probability distributions.

Discussion Character

  • Exploratory
  • Mathematical reasoning

Main Points Raised

  • One participant recalls the mechanics of the Pokémon card attack and poses questions about calculating the probability of dealing more than 60 damage and the average damage over time.
  • Another participant suggests that the problem may involve a geometric series and invites the original poster to share their progress.
  • A participant confirms that the probability of dealing more than 60 damage can be expressed as the sum of probabilities for damage amounts of 80, 100, 120, etc., and proposes an alternative approach of calculating it as 1 minus the probability of dealing 20, 40, or 60 damage.
  • Further clarification is provided on calculating individual probabilities based on the sequence of coin flips leading to different damage outcomes.
  • One participant details the probabilities associated with each damage outcome based on the number of tails flipped before the first head, linking these to a geometric series and discussing the expected value calculation.
  • The original poster expresses understanding of the concepts discussed, indicating progress in their comprehension of the problem.

Areas of Agreement / Disagreement

Participants generally agree on the approach to calculating probabilities and the expected value, but there is no explicit consensus on the final calculations or methods, as some details remain open for exploration.

Contextual Notes

Participants reference geometric series and probability calculations without fully resolving the mathematical steps involved in deriving the expected value or the individual probabilities for damage outcomes.

Bipolarity
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A long time ago when I played with Pokemon cards, I remember a Geodude card saying "Flip a coin until you get tails. This attack does 20 damage times the number of heads."

What would be the probability that the attack does more than 60 damage?

What would be the average damage of the attack if the attack were repeated indefinitely and its damage measured for each trial.

The problem popped into my mind as I am reading on probability, but any thoughts on how to solve this problem? I think of geometric probability distributions, but can't quite establish a solution.

BiP
 
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Hi Bipolarity! :wink:

It's probably one of those ∑ xn = 1/(1-x) manoeuvres.

Show us how far you've got. :smile:
 
I understand that it is a geometric sum of some sort, but I'm not so clear about the connection between geometric progressions and probability.

Would it be correct in saying that the probability that the attack does more than 60 damage is sum of the probabilities that the attack does damages corresponding to 80,100,120,140... ad infinitum?

That I think I get, but beyond that, how would you calculate the individual probabilities?

And I have no clue how to calculate the average damage. I assume you would take each value, multiply it by its probability to give it a weight, and sum up all such weights, but I am used to doing this in continuous variables using calculus. I don't know how you find infinite sums for these types of problems.

BiP
 
Bipolarity said:
Would it be correct in saying that the probability that the attack does more than 60 damage is sum of the probabilities that the attack does damages corresponding to 80,100,120,140... ad infinitum?

yes, but easier is to say that it's 1 minus the probability of 20 40 or 60 :wink:
That I think I get, but beyond that, how would you calculate the individual probabilities?

P(20k) = P(k-1 tails then 1 heads)
And I have no clue how to calculate the average damage. I assume you would take each value, multiply it by its probability to give it a weight, and sum up all such weights, but I am used to doing this in continuous variables using calculus. I don't know how you find infinite sums for these types of problems.

Yes, ∑ 20kP(20k) …

try it and see :smile:
 
It will do 0 damage if you flip tails on the first flip- the probability of that is 1/2.
It will do 20 damage if you flip tails and then heads- the probability of that is (1/2)(1/2)= 1/4.
It will do 40 damage if you flip tails twice and then heads- the probability of that (1/2)2(1/2)= 1/8.
It will do 60 damage if you flip tails three times and then heads- the probability of that is (1/2)3(1/2)= 1/16.

Now, what is the probability it will do damage of "60 or less"? What is the probability it will do damage of "more than 60"? Do you see what that has to do with a geometric series?

The damage done when rolling n consecutive tails and then a head is, of course, 20n. The probability of rolling n consecutive tails and then a head is, as above, (1/2)n+1. So the average damage (the expected value) is the sum [itex]\sum_{n=1}^\infty n (1/2)^{n+ 1}[/itex]. We can factor [itex]1/4= (1/2)^2[/itex] out of that to get [itex](1/4)\sum_{n= 1}^\infty n(1/2)^{n-1}[/itex]

The reason I do that is that [itex]n x^{n-1}[/itex] is the derivative of [itex]x^n[/itex]. Further, power series are "term by term" differentiable so that our sum is 1/4 times the derivative of the [itex]\sum x^n= \frac{1}{1-x}[/itex], evaluated at x= 1/2.
 
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Thank you all. I understand it now.

BiP
 

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