CaptainX
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Why tossing a coin three times is said to have binomial distribution? I'm little bit confused.
The discussion revolves around the concept of binomial distribution in the context of tossing a coin multiple times. Participants explore the probability of obtaining a certain number of heads in a specified number of trials, addressing both theoretical and practical aspects of the distribution.
Participants generally agree on the formula for binomial distribution and its application to coin tossing, but there is some confusion regarding the initial understanding of the concept and its implications.
Some assumptions about the fairness of the coin and the definition of success in trials are present but not fully explored, leading to potential gaps in understanding.
This discussion may be useful for individuals seeking clarification on binomial distribution, particularly in relation to probability theory and its application to simple experiments like coin tossing.
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##.