In a sequence of independent coin flips, each flip has a probability (p) of landing heads and (1-p) of landing tails. When we are interested in the appearance of a consecutive runβor βstreakββof heads, the problem becomes a question of waitingβtime statistics.
The probability that a streak of length (k) never occurs in (n) flips can be computed with a simple Markovβchain recurrence. Let (a_{i,j}) denote the probability that after (i) flips we have seen no streak and the current run of consecutive heads has length (j) (where (0 le j < k)). The transition equations are
The desired probability of observing at least one streak of (k) heads is the complement of the βnoβstreakβ probability: (P = 1 – sum_{j=0}^{k-1} a_{n,j}). This expression is the basis of the calculator.
How do I calculate the probability of getting a streak of 3 heads in 10 flips?
What is the probability of never seeing a streak of 5 tails in 20 coin flips?
Can this calculator handle different probabilities for heads and tails?
What is a Markov chain in this context?
How does the calculator determine the probability of not seeing a streak?
Can I use this calculator for any number of coin flips?
What is the significance of a streak in probability theory?
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