Probability Time

A fair coin is tossed 10 times . Let m n \frac{m}{n} , in the lowest terms , be the probability that heads never occurs on consecutive tosses. Then find m + n m+n .


The answer is 73.

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2 solutions

Maggie Miller
Jul 18, 2015

Count the number of ways a coin can be tossed 10 times and never have heads come up on consecutive tosses. Imagine putting 10 coins reflecting the tosses in order in a row. When k k heads are tossed, 10 k 10-k tails are tossed. There are 10 k + 1 10-k+1 positions for each of the heads, so there are ( 10 k + 1 k ) {10-k+1 \choose k} total arrangements. Therefore, the total number of ways to toss the coin with this restriction is k = 0 10 ( 10 k + 1 k ) = 144 \sum_{k=0}^{10}{10-k+1 \choose k}=144 .

Clearly, there are 2 10 2^{10} possible outcomes when flipping a coin ten times. Therefore, the probability that heads never occurred on consecutive tosses is 144 2 10 = 9 64 \frac{144}{2^{10}}=\frac{9}{64} , so the answer is 73 \boxed{73} .

Perhaps it's k from 0 to 5 since no consecutive heads are allowed.

Michael Wood - 5 years, 9 months ago

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For k > 5 k>5 , ( 10 k + 1 k ) = 0 {10-k+1\choose k}=0 , for that reason. Going to ten just saves me from having to write a line justifying stopping at 5- either sum is correct. :)

Maggie Miller - 5 years, 9 months ago
Abhishek Sinha
Aug 14, 2015

Let N H ( n ) N^H(n) and N T ( n ) N^T(n) denote the number of coin-toss sequences of length n n and ending with Heads and Tails respectively, such that no two heads occur on consecutive tosses. Then it easily follows that the following recursion holds N H ( n + 1 ) = N T ( n ) N^H(n+1)=N^T(n) N T ( n + 1 ) = N H ( n ) + N T ( n ) N^T(n+1)=N^H(n)+N^T(n) We also have the initial condition that N H ( 2 ) = 1 , N T ( 2 ) = 2 N^H(2)=1, N^T(2)=2 Thus we can solve for N H ( 10 ) = 55 , N T ( 10 ) = 89 N^H(10)=55, N^T(10)=89 (by hand, by matrix exponents or by a computer program) and find that the number of permissible sequence of length 10 10 is simply N H ( 10 ) + N T ( 10 ) = 144 N^H(10)+N^T(10)=144 . Hence the required probability is 55 2 10 = 9 64 \frac{55}{2^{10}}=\frac{9}{64} .

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