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In statistics, when we use the term distribution, we usually mean a probability distribution. Good examples are the Normal distribution, the Binomial distribution, and the Uniform distribution. Alright. Lets start with a definition! A distribution is a function that shows the possible values for a variable and how often they occur. Think about a die. It has six sides, numbered from 1 to 6. We roll the die. What is the probability of getting 1? It is one out of six, so one-sixth, right? What is the probability of getting 2? Once again - one-sixth. The same holds for 3, 4, 5 and 6. Now. What is the probability of getting a 7? It is impossible to get a 7 when rolling a die. Therefore, the probability is 0. The distribution of an event consists not only of the input values that can be observed, but is made up of all possible values. So, the distribution of the event - rolling a die - will be given by the following table. The probability of getting one is 0.17, the probability of getting
