CaptainX
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Why tossing a coin three times is said to have binomial distribution? I'm little bit confused.
The discussion centers on the application of the binomial distribution to coin tossing, specifically when flipping a coin three times. The probability of obtaining k heads in n trials is defined by the formula: prob(k successes in n trials) = &binom{n}{k}p^k(1-p)^{n-k}, where p represents the probability of success on a single trial. For a fair coin, p is 1/2. This formula allows for the calculation of probabilities for various outcomes in binomial experiments.
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What is confusing?CaptainX said:Why tossing a coin three times is said to have binomial distribution? I'm little bit confused.
I think it's 1/2fresh_42 said:What is the probability to flip k heads in n trials?
It doesn't matter if it's a fair coin or not. Say one coin flip has probability ##p## for heads. Now what is the probability of ##k## heads in ##n## flips? How any possibilities are there for ##k## out of ##n## and what is the combined probability?CaptainX said:I think it's 1/2
... which is the answer to the question.mathman said:Binomial: prob (k successes in n trials) ##=\binom{n}{k}p^k(1-p)^{n-k}## where ##p## is the probability of success on one trial. For fair coins ##p=1/2##.
Thank you very much!mathman said:Binomial: prob (k successes in n trials) ##=\binom{n}{k}p^k(1-p)^{n-k}## where ##p## is the probability of success on one trial. For fair coins ##p=1/2##.