Another Coin Flipping Question

  • Thread starter davidmoore63@y
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In summary, a biased coin is constructed with a probability of p for heads and 1-p for tails. After flipping the coin twice and getting two heads, the probability of a third head is 3/4. This also means the fair value of a lottery ticket that pays one dollar for a third head is 3/4, and cannot be sold for an irrational number's worth of currency.
  • #1
davidmoore63@y
92
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A random number p such that 0<p<1 is selected at random from a uniform distribution U[0,1]. A biased coin is then constructed such that the probability of heads on a single flip is p (thus 1-p for a tails).

This coin is flipped twice and the result is HH. If the coin is flipped a third time, what is the probability of a third head? More precisely, what is the fair value of a lottery ticket that pays one dollar if the third flip is a head, and zero otherwise? What would you pay for it/ sell it for?
 
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  • #2
Is this a trick question?

"A biased coin is then constructed such that the probability of heads on a single flip is p..."
 
  • #3
not at all! I think it's well defined isn't it?
 
  • #4
Then the two H results don't give you any additional information. You know the probability is p, and you know the expected value of a $1 bet is p x $1.
 
  • #5
The question is asking for the probability of a third head PRIOR to finding out what p is.
 
  • #6
the bet is worth $0 as the probability of drawing a rational number from the uniform distribution is zero and you can't pay someone and irrational number's worth of currency ;)
 
  • #7
Ok for you we round p to the nearest 1/100. You still have to do the question now!
 
  • #8
We want to know the probability of HHH given HH. It's Prob(HHH) / Prob(HH). The probability of HHH is the expectation value of p^3 where p is uniformly distributed on the interval [0, 1]. So it's int_0^1 p^3 dp = 1/4. Similarly Prob(HH) = int_0^1 p^2 dp = 1/3. So the answer is 3/4.
 
  • #9
Looks right to me
 

Related to Another Coin Flipping Question

1. What is the probability of getting heads or tails when flipping a coin?

The probability of getting either heads or tails when flipping a coin is 50%. This is because there are only two possible outcomes, and each outcome has an equal chance of occurring.

2. Is it possible to predict the outcome of a coin flip?

No, it is not possible to predict the outcome of a coin flip with certainty. The outcome is completely random and cannot be influenced by any external factors.

3. Can the probability of getting heads or tails change over time?

No, the probability of getting heads or tails remains constant at 50% for each individual coin flip. However, if a large number of flips are performed, the overall percentage of heads and tails may not be exactly 50% due to chance.

4. Is there a way to increase the chances of getting a certain outcome when flipping a coin?

No, there is no way to increase the chances of getting a certain outcome when flipping a coin. The outcome is always 50% for each possibility and cannot be manipulated.

5. How many times should a coin be flipped to get an accurate representation of the probability?

The more times a coin is flipped, the more accurate the representation of the probability will be. However, it is generally accepted that at least 100 flips should be performed to get a reasonable estimate of the probability.

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