B Coin Tossing: Binomial Distribution Explained

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Tossing a coin three times is modeled by a binomial distribution because each flip is an independent trial with two possible outcomes: heads or tails. The probability of flipping k heads in n trials is calculated using the formula P(k successes in n trials) = C(n, k) * p^k * (1-p)^(n-k), where p is the probability of getting heads on a single flip. For a fair coin, p equals 1/2. This formula accounts for the number of ways to achieve k heads out of n flips and the combined probability of those outcomes. Understanding this concept clarifies the relationship between coin tossing and binomial distribution.
CaptainX
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Why tossing a coin three times is said to have binomial distribution? I'm little bit confused.
 
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What is the probability to flip k heads in n trials?
 
CaptainX said:
Why tossing a coin three times is said to have binomial distribution? I'm little bit confused.
What is confusing?
 
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fresh_42 said:
What is the probability to flip k heads in n trials?
I think it's 1/2
 
CaptainX said:
I think it's 1/2
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?
 
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##.
 
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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##.
... which is the answer to the question.
 
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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!
 
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