A uniform distribution, sometimes also known as a rectangular distribution, is a distribution that has constant probability.
The uniform distribution is used under these conditions:
minimum is fixed.
maximum is fixed.
all values in range are equally likely to occur.
discrete uniform is the discrete equivalent of the uniform distribution.
The requirements for a random experiment to be a binomial experiment are:
a fixed number (n) of trials
each trial must be independent of the others
each trial has just two possible outcomes, called “success” (the outcome of interest) and “failure“
there is a constant probability (p) of success for each trial, the complement of which is the probability (1 – p) of failure, sometimes denoted as q = (1 – p)
The hypergeometric distribution is used under these conditions:
total number of items (population) is fixed.
sample size (number of trials) is a portion of the population. A sample of size n is randomly selected without replaccement from a population of N items, wherein each draw is either a success or a failure.
probability of success changes after each trial.
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