density function
Let be a discrete random variable with sample space .Let be the probability of taking the value .
The function![]()
is called the probability function

or density function.
It must hold:
If the density function for a random variable is known, we can calculate the probability of being on certain interval:
The definition can be extended to continuous random variables in a direct way: The probability of being on a given interval is calculated with an integral instead of using a summation:
For a more formal approach using measure theory, look at probability distribution function entry.
| Title | density function |
| Canonical name | DensityFunction |
| Date of creation | 2013-03-22 13:02:49 |
| Last modified on | 2013-03-22 13:02:49 |
| Owner | drini (3) |
| Last modified by | drini (3) |
| Numerical id | 12 |
| Author | drini (3) |
| Entry type | Definition |
| Classification | msc 60E05 |
| Synonym | probability function |
| Synonym | density |
| Synonym | probabilities function |
| Related topic | DistributionFunction |
| Related topic | CumulativeDistributionFunction |
| Related topic | RandomVariable |
| Related topic | Distribution![]() |
| Related topic | GeometricDistribution2 |