densiteitsfunctie
A densiteitsfunctie, often translated as probability density function (PDF) in English, is a fundamental concept in probability theory and statistics. It describes the relative likelihood for a continuous random variable to take on a given value. Unlike discrete probability distributions, where we can assign a specific probability to each individual outcome, a PDF for a continuous variable does not assign probabilities to single points. Instead, the area under the curve of the PDF between two points represents the probability that the random variable will fall within that interval.
The value of a probability density function at a particular point is not a probability itself, but
Common examples of probability density functions include the normal distribution (bell curve), the uniform distribution, and