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n(p)(1-p) n times p times one minus p, where n is the number of outcomes in the binomial distribution, and p is the probability of a success.

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Q: The variance for the binomial probability distribution is?
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Can you please tell me the variance and the standard deviation for n equals 80 and p equals 0.3?

For a binomial probability distribution, the variance is n*p*q which is 80*.3*.7 = 16.8. The standard deviation is square root of the variance which is 4.099; rounded is 4.1. The mean for a binomial probability distribution is n*p or 80*.3 or 24.


What are mean and variance of negative binomial distribution by conclusion?

what is meant by a negative binomial distribution what is meant by a negative binomial distribution


Distinguish between binomial distribution and normal distribution?

Normal distribution is the continuous probability distribution defined by the probability density function. While the binomial distribution is discrete.


The mean of a binomial probability distribution can be determined by multiplying?

The mean of a binomial probability distribution can be determined by multiplying the sample size times the probability of success.


Is in binomial distribution mean always greater then variance?

yes


What is the binomial probability if the mean value is 3 and the variance is 1.2?

It is 0.6


What is difference between skew binomial and symmetric binomial distribution?

The skew binomial distribution arises when the probability of a particular event is not a half.


Is the binominal probability discrete or continuous?

The binomial probability distribution is discrete.


Consider a binomial distribution with 10 trials What is the expected value of this distribution if the probability of success on a single trial is 0.5?

Consider a binomial distribution with 10 trials What is the expected value of this distribution if the probability of success on a single trial is 0.5?


A binomial probability distribution with 5 as the probability of a success will have a distribution with a shape best described by?

Nothing since it is impossible. No event can have 5 as the probability of success.


How to find the variance of 36 percent of voters favor a given ballot for groups of 30 voters find the variance for the nunmber who favor the measure?

If you assume a binomial distribution, the variance is n*p*(1-p) where n is the number of voters = 30 p is the probability of support = 0.36 So variance = 30*0.36*0.64 = 6.912


What must you know to develop binomial probability distribution?

is median a chafractoristic of population