If X has any discrete probability distribution then the sum of a number of observations for X will be normal.
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The mean of a discrete probability distribution is also called the Expected Value.
a. a measurement. b. a count.c. a small sample. d. a small probability.
The Poisson distribution is a discrete distribution, with random variable k, related to the number events. The discrete probability function (probability mass function) is given as: f(k; L) where L (lambda) is the mean and square root of lambda is the standard deviation, as given in the link below: http://en.wikipedia.org/wiki/Poisson_distribution
The binomial distribution is a discrete probability distribution. The number of possible outcomes depends on the number of possible successes in a given trial. For the Poisson distribution there are Infinitely many.
No, it is continuous.