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What must you know to develop binomial probability distribution?
is median a chafractoristic of population
What is the Assumptions for a Binomial distribution and Poisson?
For the binomial, it is independent trials and a constant probability of success in each trial.For the Poisson, it is that the probability of an event occurring in an interval (time or space) being constant and independent.
Is a binomial distribution symmetric?
No, in general is not. It is only symmetric if the probability of success in each trial is 0.5
What are the applications of binomial distribution?
It models the outcome of a number of independent trials in which each trial has only one outcome [that is of interest] with a constant probability of that outcome. There are random processes that meet these requirements exactly as well as others that may be approximated by the distribution.
When can a binomial situation be approxiamted with a normal distribution?
The binomial distribution can be approximated with a normal distribution when np > 5 and np(1-p) > 5 where p is the proportion (probability) of success of an event and n is the total number of independent trials.
