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It is cumulative when you add together the probabilities of all events resulting in the given number or fewer successes.

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9y ago
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9y ago

When you add together the probabilities of all outcomes in which the number of successes is equal to or fewer than the given number.

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Q: When is a binomial distribution cumulative?
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What has the author Sol Weintraub written?

Sol Weintraub has written: 'Tables of the cumulative binomial probability distribution for small values of p' -- subject(s): Binomial distribution, Tables


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When the event of interest is a cumulative event. For example, to find the probability of getting three Heads in 8 tosses of a fair coin you would use the regular binomial distribution. But to find the probability of up to 3 Heads you would use the cumulative distribution. This is because Prob("up to 3") = Prob(0 or 1 or 2 or 3) = Prob(0) + Prob(1) + Prob(2) + Prob(3) since these are mutually exclusive.


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What is difference between skew binomial and symmetric binomial distribution?

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What is the difference between poisson and binomial distribution?

Poisson and Binomial both the distribution are used for defining discrete events.You can tell that Poisson distribution is a subset of Binomial distribution. Binomial is the most preliminary distribution to encounter probability and statistical problems. On the other hand when any event occurs with a fixed time interval and having a fixed average rate then it is Poisson distribution.


What is the shape of the binomial probability distribution in rolling a die?

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