The uniform distribution function reads:

The basic characteristic of a uniform distribution is that the random variable X has an equal chance of taking any of the k values X1, X2,..., Xk.
Example: Rolling a Dice
Question
A total of 6 events can occur when rolling a die, where, if the die is not biased, each number 1, 2, 3, 4, 5, or 6 has an equal chance of appearing. In this case, k = 6. The probability of getting each number is shown in the table.
| 1 | 2 | 3 | 4 | 5 | 6 |
|---|---|---|---|---|---|
| 1/6 | 1/6 | 1/6 | 1/6 | 1/6 | 1/6 |
The graphical appearance of the uniform distribution from the example can be shown using a bar chart.

The expected value of the uniform distribution is equal to

The variance of a uniform distribution is (k2-1)/12.
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