Expected number of attempts to observe a pattern VS Probability of getting a pattern in n attempts

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This question is more about general intuition, than formal mathematics.

Let's consider the fair coin toss (p=0.5, q=0.5) and the pattern of getting 3 heads in a row.

$$\mu= \frac{p^{-n}-1}{1-p} = 14$$

(There is several other ways to solve this problem all leading to the same result).

$$ P(n,k) = p^k \sum _{t=0}^{\frac{n-k}{k+1}} \binom{n-k (t+1)}{t} \left(-q p^k\right)^t-\sum _{t=1}^{\frac{n}{k+1}} \binom{n-k t}{t} \left(-q p^k\right)^t $$

from what we get:

P(14,3) = 0.6479 The probability to get 3 heads in a row after 14 attempts.

P(10,3) = 0.5078 The probability to get 3 heads in a row after 10 attempts.

The Matlab Code of a Monte-Carlo simulation shows the same results, and the distribution of results is plotted here:

Probability of getting 3 heads in a row according to the number of attempts

My Question is:

Can you help me get the intuition why:

  • The expected number of attempts, to get 3 heads in a row (in this case 14)

is different than

  • The number of attempts necessary, for the probability to get 3 heads in a row, to reach 0.5 (in this case 10)