Probability of Same face in Coin flips

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In summary: Just for curiosity, what is the answer?In summary, the probability of stopping on an even number of tosses when flipping a fair coin until getting the same face twice in a row is half of the probability of stopping on an odd number of tosses. This can be easily derived by looking at the joint probabilities and using the fact that the sum of all probabilities is equal to 1.
  • #1
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Homework Statement


You flip a fair coin until you get the same face twice in a row.
What is the probability that you stop on an even number of tosses?

Example: Probability of taking less than 6 tosses to stop is 15/16
In general, the probability of stopping on the nth toss is 1/2^(n-1)


Homework Equations




Example: Probability of taking less than 6 tosses to stop is 15/16
In general, the probability of stopping on the nth toss is 1/2^(n-1)

The sum of probabilities as n (the number of tosses) grows is 1.





The Attempt at a Solution



Pr(2 tosses) = 1/2
Pr(3 tosses) = 1/4
Pr(4 tosses) = 1/8

In general there are only two sequences for n tosses that end on the nth toss.

Either it starts with tails and alternates until the last 2 tosses or it starts with
heads and alternates until the last 2 tosses.

Example
HTHH
THTT
Only 2 sequences that end on the 4th toss.
 
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  • #2
You are making this too hard. Don't worry about the sequences that end on 2 tosses, 3 tosses, ..., as you will quickly end up in a combinatoric nightmare. Look at things conditionally. For example, given that you have tossed 1000 alternating heads and tails, what are the odds the sequence stops on the 1001 toss? It becomes a simple proposition to compute the joint probabilities and then to compute the probability the sequence ends with an even number of tosses.

Edited to add

The problem statement already gives the joint probabilities. Add them up. (Show this is a valid thing to do.)
 
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  • #3
This is indeed a very easy problem.. you knew the probability of stopping on the 3rd toss is half of stoppoing on the 2nd toss, and stopping on the 5th toss is, again, half of the 4th toss, therefore, we have a relationship:
[tex]P_3=\frac{1}{2}P_2[/tex]
[tex]P_5=\frac{1}{2}P_4[/tex]
...
In general,
[tex]P_{2n+1}=\frac{1}{2}P_{2n}[/tex]
From the above equation, it is not difficult to draw the conclusion that the total probability of stopping on odd is half of stopping on even... applying [tex]P_{odd}+P_{even}=1[/tex], you will have the answer...
 
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1. What is the probability of getting the same face in consecutive coin flips?

The probability of getting the same face in consecutive coin flips is 50%, as there are only two possible outcomes (heads or tails) and each flip is independent of the previous one.

2. Is there a difference in probability if I flip a coin multiple times or just twice?

No, the probability of getting the same face in consecutive coin flips remains at 50% regardless of the number of flips. Each flip is independent of the others and does not affect the outcome of the next flip.

3. What happens to the probability if I use a biased coin?

If the coin is biased and has a higher chance of landing on one face over the other, then the probability of getting the same face in consecutive flips will also be higher than 50%. However, this probability will still remain consistent with the bias of the coin.

4. How does the probability change if I flip multiple coins at once?

If you flip multiple coins at once, the probability of getting the same face on all of them decreases. For example, if you flip two coins at once, the probability of getting the same face on both is 25%, as there are now four possible outcomes (HH, HT, TH, TT) with only one resulting in the same face.

5. Can the probability of getting the same face in consecutive flips be higher than 50%?

No, the probability of getting the same face in consecutive flips can never be higher than 50%. This is because each flip is independent and the outcome is not affected by the previous flip, so the chances of getting the same face remain at 50%.

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