- 0 Talk
-
Uniform distribution (discrete)
Assessment |
Biopsychology |
Comparative |
Cognitive |
Developmental |
Language
Personality |
Philosophy |
Methods |
Social |
Statistics |
Clinical |
Educational |
Industrial
Statistics: Scientific method · Research methods · Experimental design · Undergraduate statistics courses · Statistical tests · Game theory · Decision theory
| Probability mass function n=5 where n=b-a+1 | |
| Cumulative distribution function n=5 where n=b-a+1. The convention is used that the cumulative mass function Fk(ki) is the probability that k > = ki | |
| Parameters | ![]() ![]()
|
| Support |
|
| Template:Probability distribution/link mass |
|
| cdf |
|
| Mean |
|
| Median |
|
| Mode | N/A |
| Variance |
|
| Skewness |
|
| Kurtosis |
|
| Entropy |
|
| mgf |
|
| Char. func. |
|
In probability theory and statistics, the discrete uniform distribution is a discrete probability distribution that can be characterized by saying that all values of a finite set of possible values are equally probable.
A random variable that has any of n possible values
that are equally probable, has a discrete uniform distribution, then the probability of any outcome ki is 1 / n. A simple example of the discrete uniform distribution is throwing a fair die. The possible values of k are 1, 2, 3, 4, 5, 6; and each time the die is thrown, the probability of a given score is 1/6.
In case the values of a random variable with a discrete uniform distribution are real, it is possible to express the cumulative distribution function in terms of the degenerate distribution; thus
where the Heaviside step function H(x − x0) is the CDF of the degenerate distribution centered at x0. This assumes that consistent conventions are used at the transition points.
See rencontres numbers for an account of the probability distribution of the number of fixed points of a uniformly distributed random permutation.de:Diskrete Gleichverteilungnl:Discrete uniforme verdeling fr:loi uniforme discrète
| This page uses Creative Commons Licensed content from Wikipedia (view authors). |

