A Coin Toss Problem

A fair coin is tossed repeatedly and the record of the outcomes is kept.

Now an event E is defined such that tossing of the coin is stopped when the total number of heads obtained so far exceeds the total number of tails by 3. For example, a possible sequence of tosses could look like H H T T T H T H H T H H HHTTTHTHHTHH .

What is the probability that the length of such a sequence is at most 10?

The answer is of the form a b \frac{a}{b} , Evaluate b a b-a .

You can try more of my Questions here .


The answer is 21.

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1 solution

Let X n X_n , n N 0 n \in N_0 be the number of heads minus the number of tails obtained so far.

Then, [ X n ] n N 0 [X_n]_{n\in N_0} is a simple symmetric random walk, and we stop tossing the coin when X X hits 3 for the first time. This will happen during the first 10 tosses, if and only if M 10 > 3 M_{10} > 3 where M n M_n denotes the (running) maximum of X .

According to the reflection principle ,

P [ M 10 > 3 ] = P [ X 10 > 3 ] + P [ X 10 > 4 ] = 2 ( P [ X 10 = 4 ] + P [ X 10 = 6 ] + P [ X 10 = 10 ] ) = 2 9 [ ( 10 3 ) + ( 10 2 ) + ( 10 1 ) + ( 10 0 ) ] = 11 32 \begin{aligned} P[M_{10} > 3] & =P[X_{10} > 3] + P[X_{10} > 4] \\ & = 2(P[X_{10} = 4] + P[X_{10} = 6] + P[X_{10} = 10])\\ &= 2^{-9} [\binom{10}{3} + \binom{10}{2} + \binom{10}{1} + \binom{10}{0}]\\ &= \frac{11}{32} \end{aligned} .

Hence our answer being 32 11 = 21 32 - 11 = 21 .

NOTE : For those who don't know about Random Walks and the Reflection Principle , I would suggest you to read up those topics .

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