Coin toss visualisation
A while back, while working with probabilistic forecasting, I watched this TED video
where some issues regarding common misconceptions of probability and randomness are mentioned.
One of which is: a coin toss is random, therefore any patterns of heads or tails must appear equally frequent. One example mentioned in the talk was that of heads-tails-heads and heads-tails-tails (HTH & HTT) patterns and how one is more likely to encounter HTT first, when tossing a coin repeatedly.
6998 cointosses in sequence:
Just the Heads of the sequence:
Tails, approximately 3500 of each:
Counting the appearances of “Heads Tails Heads” and “Heads Tails tails”, which appear in equal numbers:
Even though each sequence appear in equal numbers in total,
HTT is likely to appear first due to clustering of HTH’s:
The probability of getting either heads or tails when tossing a coin is 1/2.
The probability of getting a sequence like heads tails heads (HTH) or heads tails tails (HTT) is 1/2 x 1/2 x 1/2 = 1/8.
Due to differences in distribution, the average number of tosses to get HTT is 8 and for HTH 10.http://oostring.com/wordpress_mainsite