Probability that THHT occurs in a sequence of 10 coin tossesFinding probability of recording head in a sequence of coin tossProbability that a coin lands on tails an odd number of times when it is tossed $100$ timesWhat's the expected number of coin tosses in order to get a sequence HHTTHH?Probability in a series of events, during the series.Chance on winning by throwing a head on first toss.probability of sequence of exactly 3 headsSequence of non-independent coin tossesis it possible to find out how many times coin will return head in n-sequence?A fair coin is tossed $text10 times$. What is the probability that ONLY the first two tosses will yield heads?What is the probability of player A winning this Coin Toss Game?

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Probability that THHT occurs in a sequence of 10 coin tosses


Finding probability of recording head in a sequence of coin tossProbability that a coin lands on tails an odd number of times when it is tossed $100$ timesWhat's the expected number of coin tosses in order to get a sequence HHTTHH?Probability in a series of events, during the series.Chance on winning by throwing a head on first toss.probability of sequence of exactly 3 headsSequence of non-independent coin tossesis it possible to find out how many times coin will return head in n-sequence?A fair coin is tossed $text10 times$. What is the probability that ONLY the first two tosses will yield heads?What is the probability of player A winning this Coin Toss Game?













13












$begingroup$


Assume we have a fair coin, and we throw the coin $10$ times in a row.



I want to calculate the probability that the sequence 'tail, head, head, tail' occurs.



So I think I can interpret this event as a binary number with $10$ digits. So $1$ means tail, $0$ means head. Therefore we have $2^10 = 1024$ different outcomes of the $10$ throws. The sequence 'tail, head, head, tail' can start at $7$ different positions and so there are $7cdot2^6 = 448$ different outcomes of the $10$ throws with the sequence 'tail, head, head, tail'. So the probability would be $frac4481024 = 0.4375$.



But I have a feeling there's something wrong?










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New contributor




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$endgroup$







  • 2




    $begingroup$
    You are over-counting sequences like T H H T H H T .
    $endgroup$
    – kimchi lover
    yesterday






  • 1




    $begingroup$
    @kimchilover ...and even THHTHHTHHT.
    $endgroup$
    – CiaPan
    yesterday















13












$begingroup$


Assume we have a fair coin, and we throw the coin $10$ times in a row.



I want to calculate the probability that the sequence 'tail, head, head, tail' occurs.



So I think I can interpret this event as a binary number with $10$ digits. So $1$ means tail, $0$ means head. Therefore we have $2^10 = 1024$ different outcomes of the $10$ throws. The sequence 'tail, head, head, tail' can start at $7$ different positions and so there are $7cdot2^6 = 448$ different outcomes of the $10$ throws with the sequence 'tail, head, head, tail'. So the probability would be $frac4481024 = 0.4375$.



But I have a feeling there's something wrong?










share|cite|improve this question









New contributor




geira is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$







  • 2




    $begingroup$
    You are over-counting sequences like T H H T H H T .
    $endgroup$
    – kimchi lover
    yesterday






  • 1




    $begingroup$
    @kimchilover ...and even THHTHHTHHT.
    $endgroup$
    – CiaPan
    yesterday













13












13








13


2



$begingroup$


Assume we have a fair coin, and we throw the coin $10$ times in a row.



I want to calculate the probability that the sequence 'tail, head, head, tail' occurs.



So I think I can interpret this event as a binary number with $10$ digits. So $1$ means tail, $0$ means head. Therefore we have $2^10 = 1024$ different outcomes of the $10$ throws. The sequence 'tail, head, head, tail' can start at $7$ different positions and so there are $7cdot2^6 = 448$ different outcomes of the $10$ throws with the sequence 'tail, head, head, tail'. So the probability would be $frac4481024 = 0.4375$.



But I have a feeling there's something wrong?










share|cite|improve this question









New contributor




geira is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$




Assume we have a fair coin, and we throw the coin $10$ times in a row.



I want to calculate the probability that the sequence 'tail, head, head, tail' occurs.



So I think I can interpret this event as a binary number with $10$ digits. So $1$ means tail, $0$ means head. Therefore we have $2^10 = 1024$ different outcomes of the $10$ throws. The sequence 'tail, head, head, tail' can start at $7$ different positions and so there are $7cdot2^6 = 448$ different outcomes of the $10$ throws with the sequence 'tail, head, head, tail'. So the probability would be $frac4481024 = 0.4375$.



But I have a feeling there's something wrong?







probability combinatorics






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New contributor




geira is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











share|cite|improve this question









New contributor




geira is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









share|cite|improve this question




share|cite|improve this question








edited yesterday









Robert Howard

2,2383935




2,2383935






New contributor




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asked yesterday









geirageira

663




663




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New contributor





geira is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.






geira is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







  • 2




    $begingroup$
    You are over-counting sequences like T H H T H H T .
    $endgroup$
    – kimchi lover
    yesterday






  • 1




    $begingroup$
    @kimchilover ...and even THHTHHTHHT.
    $endgroup$
    – CiaPan
    yesterday












  • 2




    $begingroup$
    You are over-counting sequences like T H H T H H T .
    $endgroup$
    – kimchi lover
    yesterday






  • 1




    $begingroup$
    @kimchilover ...and even THHTHHTHHT.
    $endgroup$
    – CiaPan
    yesterday







2




2




$begingroup$
You are over-counting sequences like T H H T H H T .
$endgroup$
– kimchi lover
yesterday




$begingroup$
You are over-counting sequences like T H H T H H T .
$endgroup$
– kimchi lover
yesterday




1




1




$begingroup$
@kimchilover ...and even THHTHHTHHT.
$endgroup$
– CiaPan
yesterday




$begingroup$
@kimchilover ...and even THHTHHTHHT.
$endgroup$
– CiaPan
yesterday










2 Answers
2






active

oldest

votes


















7












$begingroup$

You can use the Inclusion-exclusion principle to solve this. When I do this I get $$7cdot 2^6 - 6cdot 2^2 - 4cdot 2^3+1$$ where the first term is what you get, where the second and third terms count the number of sequences with two non-overlapping instances of T H H T and of sequences with one overlap, like T H H T H H T, and finally the number of sequences with a triple overlap, T H H T H H T H H T.



Confession: I has earlier got $45cdot2^2$ for the second term, by a mental blunder, as AnnaSaabel pointed out. There are 2 "gaps" to separate the two instances of THHT, which can occur before, between, or after the 2 instances; they can be distributed in any of the 6 ways 200,020,002,110,101, or 011.



Added: if the number of coin tosses were $n=100$ (say), and the pattern sought was still THHT, this method becomes clumsy. A different method is to construct a Markov chain with states representing how far a string matching algorithm has progressed in matching the given pattern. If $M$ is the transition matrix for this chain, the desired answer is the entry in the matrix $M^n$ corresponing to the pair $(textstart state, textaccepting state)$.






share|cite|improve this answer











$endgroup$








  • 1




    $begingroup$
    How did you calculate 45 for the second term?
    $endgroup$
    – Anna Saabel
    yesterday










  • $begingroup$
    @AnnaSaabel By a mental blunder. Thanks for the catch!
    $endgroup$
    – kimchi lover
    yesterday






  • 1




    $begingroup$
    This is correct, as this Python 3 code snippet gives the same number: $tag*$ print(sum('0110' in s for s in [bin(n)[-10:] for n in range(1<<10,1<<11)]))
    $endgroup$
    – Mike Earnest
    yesterday










  • $begingroup$
    Your transition matrix is wrong: a match failure in state 1 or 2 will result in state 1, not state 0. In general, the transition matrix is basically the same thing as the array produced in the preprocessing step of KMP algorithm.
    $endgroup$
    – infmagic2047
    yesterday










  • $begingroup$
    @infmagic2047 You are right; I've hopefully corrected this.
    $endgroup$
    – kimchi lover
    yesterday


















3












$begingroup$

As @kimchilover states in the comments, you are counting some 10-digit binary numbers more than once in the number $7cdot 2^6$. To make this more obvious, consider a different problem: to find the probability that the sequence 'heads' appears. By your counting logic, there are 10 places for it to begin, so there are $10cdot 2^9$ different outcomes of the 10 throws with the sequence 'heads', so the probability would be $frac10cdot 2^92^10 = 5$. That can't be good. It's very clear now that the issue is overcounting -- you have five times as many sequences with 'heads' in them as the number of sequences total! The problem is that we have counted sequences with multiple heads many times. For example, the sequence of all heads is counted $10$ times, once for each of the places where the sequence 'heads' begins within it.



As I write this, I see that @kimchilover also just posted an answer to the question which directs you to the inclusion-exclusion principle, so I'll stop here with an answer which could just help you to try generalizing arguments which feel fishy to see where they go wrong. Good job detecting the fishiness!






share|cite|improve this answer











$endgroup$












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    2 Answers
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    active

    oldest

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    2 Answers
    2






    active

    oldest

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    active

    oldest

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    active

    oldest

    votes









    7












    $begingroup$

    You can use the Inclusion-exclusion principle to solve this. When I do this I get $$7cdot 2^6 - 6cdot 2^2 - 4cdot 2^3+1$$ where the first term is what you get, where the second and third terms count the number of sequences with two non-overlapping instances of T H H T and of sequences with one overlap, like T H H T H H T, and finally the number of sequences with a triple overlap, T H H T H H T H H T.



    Confession: I has earlier got $45cdot2^2$ for the second term, by a mental blunder, as AnnaSaabel pointed out. There are 2 "gaps" to separate the two instances of THHT, which can occur before, between, or after the 2 instances; they can be distributed in any of the 6 ways 200,020,002,110,101, or 011.



    Added: if the number of coin tosses were $n=100$ (say), and the pattern sought was still THHT, this method becomes clumsy. A different method is to construct a Markov chain with states representing how far a string matching algorithm has progressed in matching the given pattern. If $M$ is the transition matrix for this chain, the desired answer is the entry in the matrix $M^n$ corresponing to the pair $(textstart state, textaccepting state)$.






    share|cite|improve this answer











    $endgroup$








    • 1




      $begingroup$
      How did you calculate 45 for the second term?
      $endgroup$
      – Anna Saabel
      yesterday










    • $begingroup$
      @AnnaSaabel By a mental blunder. Thanks for the catch!
      $endgroup$
      – kimchi lover
      yesterday






    • 1




      $begingroup$
      This is correct, as this Python 3 code snippet gives the same number: $tag*$ print(sum('0110' in s for s in [bin(n)[-10:] for n in range(1<<10,1<<11)]))
      $endgroup$
      – Mike Earnest
      yesterday










    • $begingroup$
      Your transition matrix is wrong: a match failure in state 1 or 2 will result in state 1, not state 0. In general, the transition matrix is basically the same thing as the array produced in the preprocessing step of KMP algorithm.
      $endgroup$
      – infmagic2047
      yesterday










    • $begingroup$
      @infmagic2047 You are right; I've hopefully corrected this.
      $endgroup$
      – kimchi lover
      yesterday















    7












    $begingroup$

    You can use the Inclusion-exclusion principle to solve this. When I do this I get $$7cdot 2^6 - 6cdot 2^2 - 4cdot 2^3+1$$ where the first term is what you get, where the second and third terms count the number of sequences with two non-overlapping instances of T H H T and of sequences with one overlap, like T H H T H H T, and finally the number of sequences with a triple overlap, T H H T H H T H H T.



    Confession: I has earlier got $45cdot2^2$ for the second term, by a mental blunder, as AnnaSaabel pointed out. There are 2 "gaps" to separate the two instances of THHT, which can occur before, between, or after the 2 instances; they can be distributed in any of the 6 ways 200,020,002,110,101, or 011.



    Added: if the number of coin tosses were $n=100$ (say), and the pattern sought was still THHT, this method becomes clumsy. A different method is to construct a Markov chain with states representing how far a string matching algorithm has progressed in matching the given pattern. If $M$ is the transition matrix for this chain, the desired answer is the entry in the matrix $M^n$ corresponing to the pair $(textstart state, textaccepting state)$.






    share|cite|improve this answer











    $endgroup$








    • 1




      $begingroup$
      How did you calculate 45 for the second term?
      $endgroup$
      – Anna Saabel
      yesterday










    • $begingroup$
      @AnnaSaabel By a mental blunder. Thanks for the catch!
      $endgroup$
      – kimchi lover
      yesterday






    • 1




      $begingroup$
      This is correct, as this Python 3 code snippet gives the same number: $tag*$ print(sum('0110' in s for s in [bin(n)[-10:] for n in range(1<<10,1<<11)]))
      $endgroup$
      – Mike Earnest
      yesterday










    • $begingroup$
      Your transition matrix is wrong: a match failure in state 1 or 2 will result in state 1, not state 0. In general, the transition matrix is basically the same thing as the array produced in the preprocessing step of KMP algorithm.
      $endgroup$
      – infmagic2047
      yesterday










    • $begingroup$
      @infmagic2047 You are right; I've hopefully corrected this.
      $endgroup$
      – kimchi lover
      yesterday













    7












    7








    7





    $begingroup$

    You can use the Inclusion-exclusion principle to solve this. When I do this I get $$7cdot 2^6 - 6cdot 2^2 - 4cdot 2^3+1$$ where the first term is what you get, where the second and third terms count the number of sequences with two non-overlapping instances of T H H T and of sequences with one overlap, like T H H T H H T, and finally the number of sequences with a triple overlap, T H H T H H T H H T.



    Confession: I has earlier got $45cdot2^2$ for the second term, by a mental blunder, as AnnaSaabel pointed out. There are 2 "gaps" to separate the two instances of THHT, which can occur before, between, or after the 2 instances; they can be distributed in any of the 6 ways 200,020,002,110,101, or 011.



    Added: if the number of coin tosses were $n=100$ (say), and the pattern sought was still THHT, this method becomes clumsy. A different method is to construct a Markov chain with states representing how far a string matching algorithm has progressed in matching the given pattern. If $M$ is the transition matrix for this chain, the desired answer is the entry in the matrix $M^n$ corresponing to the pair $(textstart state, textaccepting state)$.






    share|cite|improve this answer











    $endgroup$



    You can use the Inclusion-exclusion principle to solve this. When I do this I get $$7cdot 2^6 - 6cdot 2^2 - 4cdot 2^3+1$$ where the first term is what you get, where the second and third terms count the number of sequences with two non-overlapping instances of T H H T and of sequences with one overlap, like T H H T H H T, and finally the number of sequences with a triple overlap, T H H T H H T H H T.



    Confession: I has earlier got $45cdot2^2$ for the second term, by a mental blunder, as AnnaSaabel pointed out. There are 2 "gaps" to separate the two instances of THHT, which can occur before, between, or after the 2 instances; they can be distributed in any of the 6 ways 200,020,002,110,101, or 011.



    Added: if the number of coin tosses were $n=100$ (say), and the pattern sought was still THHT, this method becomes clumsy. A different method is to construct a Markov chain with states representing how far a string matching algorithm has progressed in matching the given pattern. If $M$ is the transition matrix for this chain, the desired answer is the entry in the matrix $M^n$ corresponing to the pair $(textstart state, textaccepting state)$.







    share|cite|improve this answer














    share|cite|improve this answer



    share|cite|improve this answer








    edited yesterday

























    answered yesterday









    kimchi loverkimchi lover

    11.5k31229




    11.5k31229







    • 1




      $begingroup$
      How did you calculate 45 for the second term?
      $endgroup$
      – Anna Saabel
      yesterday










    • $begingroup$
      @AnnaSaabel By a mental blunder. Thanks for the catch!
      $endgroup$
      – kimchi lover
      yesterday






    • 1




      $begingroup$
      This is correct, as this Python 3 code snippet gives the same number: $tag*$ print(sum('0110' in s for s in [bin(n)[-10:] for n in range(1<<10,1<<11)]))
      $endgroup$
      – Mike Earnest
      yesterday










    • $begingroup$
      Your transition matrix is wrong: a match failure in state 1 or 2 will result in state 1, not state 0. In general, the transition matrix is basically the same thing as the array produced in the preprocessing step of KMP algorithm.
      $endgroup$
      – infmagic2047
      yesterday










    • $begingroup$
      @infmagic2047 You are right; I've hopefully corrected this.
      $endgroup$
      – kimchi lover
      yesterday












    • 1




      $begingroup$
      How did you calculate 45 for the second term?
      $endgroup$
      – Anna Saabel
      yesterday










    • $begingroup$
      @AnnaSaabel By a mental blunder. Thanks for the catch!
      $endgroup$
      – kimchi lover
      yesterday






    • 1




      $begingroup$
      This is correct, as this Python 3 code snippet gives the same number: $tag*$ print(sum('0110' in s for s in [bin(n)[-10:] for n in range(1<<10,1<<11)]))
      $endgroup$
      – Mike Earnest
      yesterday










    • $begingroup$
      Your transition matrix is wrong: a match failure in state 1 or 2 will result in state 1, not state 0. In general, the transition matrix is basically the same thing as the array produced in the preprocessing step of KMP algorithm.
      $endgroup$
      – infmagic2047
      yesterday










    • $begingroup$
      @infmagic2047 You are right; I've hopefully corrected this.
      $endgroup$
      – kimchi lover
      yesterday







    1




    1




    $begingroup$
    How did you calculate 45 for the second term?
    $endgroup$
    – Anna Saabel
    yesterday




    $begingroup$
    How did you calculate 45 for the second term?
    $endgroup$
    – Anna Saabel
    yesterday












    $begingroup$
    @AnnaSaabel By a mental blunder. Thanks for the catch!
    $endgroup$
    – kimchi lover
    yesterday




    $begingroup$
    @AnnaSaabel By a mental blunder. Thanks for the catch!
    $endgroup$
    – kimchi lover
    yesterday




    1




    1




    $begingroup$
    This is correct, as this Python 3 code snippet gives the same number: $tag*$ print(sum('0110' in s for s in [bin(n)[-10:] for n in range(1<<10,1<<11)]))
    $endgroup$
    – Mike Earnest
    yesterday




    $begingroup$
    This is correct, as this Python 3 code snippet gives the same number: $tag*$ print(sum('0110' in s for s in [bin(n)[-10:] for n in range(1<<10,1<<11)]))
    $endgroup$
    – Mike Earnest
    yesterday












    $begingroup$
    Your transition matrix is wrong: a match failure in state 1 or 2 will result in state 1, not state 0. In general, the transition matrix is basically the same thing as the array produced in the preprocessing step of KMP algorithm.
    $endgroup$
    – infmagic2047
    yesterday




    $begingroup$
    Your transition matrix is wrong: a match failure in state 1 or 2 will result in state 1, not state 0. In general, the transition matrix is basically the same thing as the array produced in the preprocessing step of KMP algorithm.
    $endgroup$
    – infmagic2047
    yesterday












    $begingroup$
    @infmagic2047 You are right; I've hopefully corrected this.
    $endgroup$
    – kimchi lover
    yesterday




    $begingroup$
    @infmagic2047 You are right; I've hopefully corrected this.
    $endgroup$
    – kimchi lover
    yesterday











    3












    $begingroup$

    As @kimchilover states in the comments, you are counting some 10-digit binary numbers more than once in the number $7cdot 2^6$. To make this more obvious, consider a different problem: to find the probability that the sequence 'heads' appears. By your counting logic, there are 10 places for it to begin, so there are $10cdot 2^9$ different outcomes of the 10 throws with the sequence 'heads', so the probability would be $frac10cdot 2^92^10 = 5$. That can't be good. It's very clear now that the issue is overcounting -- you have five times as many sequences with 'heads' in them as the number of sequences total! The problem is that we have counted sequences with multiple heads many times. For example, the sequence of all heads is counted $10$ times, once for each of the places where the sequence 'heads' begins within it.



    As I write this, I see that @kimchilover also just posted an answer to the question which directs you to the inclusion-exclusion principle, so I'll stop here with an answer which could just help you to try generalizing arguments which feel fishy to see where they go wrong. Good job detecting the fishiness!






    share|cite|improve this answer











    $endgroup$

















      3












      $begingroup$

      As @kimchilover states in the comments, you are counting some 10-digit binary numbers more than once in the number $7cdot 2^6$. To make this more obvious, consider a different problem: to find the probability that the sequence 'heads' appears. By your counting logic, there are 10 places for it to begin, so there are $10cdot 2^9$ different outcomes of the 10 throws with the sequence 'heads', so the probability would be $frac10cdot 2^92^10 = 5$. That can't be good. It's very clear now that the issue is overcounting -- you have five times as many sequences with 'heads' in them as the number of sequences total! The problem is that we have counted sequences with multiple heads many times. For example, the sequence of all heads is counted $10$ times, once for each of the places where the sequence 'heads' begins within it.



      As I write this, I see that @kimchilover also just posted an answer to the question which directs you to the inclusion-exclusion principle, so I'll stop here with an answer which could just help you to try generalizing arguments which feel fishy to see where they go wrong. Good job detecting the fishiness!






      share|cite|improve this answer











      $endgroup$















        3












        3








        3





        $begingroup$

        As @kimchilover states in the comments, you are counting some 10-digit binary numbers more than once in the number $7cdot 2^6$. To make this more obvious, consider a different problem: to find the probability that the sequence 'heads' appears. By your counting logic, there are 10 places for it to begin, so there are $10cdot 2^9$ different outcomes of the 10 throws with the sequence 'heads', so the probability would be $frac10cdot 2^92^10 = 5$. That can't be good. It's very clear now that the issue is overcounting -- you have five times as many sequences with 'heads' in them as the number of sequences total! The problem is that we have counted sequences with multiple heads many times. For example, the sequence of all heads is counted $10$ times, once for each of the places where the sequence 'heads' begins within it.



        As I write this, I see that @kimchilover also just posted an answer to the question which directs you to the inclusion-exclusion principle, so I'll stop here with an answer which could just help you to try generalizing arguments which feel fishy to see where they go wrong. Good job detecting the fishiness!






        share|cite|improve this answer











        $endgroup$



        As @kimchilover states in the comments, you are counting some 10-digit binary numbers more than once in the number $7cdot 2^6$. To make this more obvious, consider a different problem: to find the probability that the sequence 'heads' appears. By your counting logic, there are 10 places for it to begin, so there are $10cdot 2^9$ different outcomes of the 10 throws with the sequence 'heads', so the probability would be $frac10cdot 2^92^10 = 5$. That can't be good. It's very clear now that the issue is overcounting -- you have five times as many sequences with 'heads' in them as the number of sequences total! The problem is that we have counted sequences with multiple heads many times. For example, the sequence of all heads is counted $10$ times, once for each of the places where the sequence 'heads' begins within it.



        As I write this, I see that @kimchilover also just posted an answer to the question which directs you to the inclusion-exclusion principle, so I'll stop here with an answer which could just help you to try generalizing arguments which feel fishy to see where they go wrong. Good job detecting the fishiness!







        share|cite|improve this answer














        share|cite|improve this answer



        share|cite|improve this answer








        edited yesterday

























        answered yesterday









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