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jimmie 88
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A binomial distribution has a mean of 12 and a standard deviation of 2.683, what are N and P?
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The formula for calculating the mean of a binomial distribution is given by: μ = n * p, where n is the number of trials and p is the probability of success for each trial.
The formula for calculating the standard deviation of a binomial distribution is given by: σ = √(n * p * (1-p)), where n is the number of trials and p is the probability of success for each trial.
The mean of a binomial distribution represents the average number of successes in a given number of trials, while the standard deviation measures the spread of the data from the mean.
In this scenario, the mean of 12 indicates that on average, there will be 12 successes in a given number of trials. The standard deviation of 2.683 tells us that the data is relatively spread out from the mean, with most values falling within 2.683 units away from the mean.
Yes, the mean and standard deviation of a binomial distribution can change depending on the number of trials and the probability of success for each trial. As these values change, the mean and standard deviation will also change accordingly.