This distribution is bell-shaped, has a mean in the middle of the bell-shape and one standard deviation occurs where the bell shape turns from concave down to concave up. This distribution follows the empirical rule as well.
What is a normal distribution.
This distibutions has only two outcomes, the number of observations is a fixed number, the probability of one of the outcomes is always the same, and each outcome is independent of the rest of the outcomes.
What is a binomial distribution
This distribution has the same probability for all of the outcomes (no matter how many there are), so that the probability of each outcome if there are k outcomes is 1/k. For example (roll a one sided die, list the probability of each outcome).
What is a uniform distribution?
This type of distribution is generally represented by a list of outcomes and their probabilities. There is a discrete number of outcomes and no outcomes between any adjacent two outcomes.
What is a discrete probability distribution?
This type of distribution is used if you take a random sample of size 30 or greater from a larger population and each observation is independent.
What is a Sampling Distribution?