distributionnerovnomerné
Distributionnerovnomerné (also known as non-uniform distribution) is a statistical concept that describes a dataset where the values are not evenly distributed across the range. Unlike uniform distribution, where each value has an equal chance of occurring, non-uniform distribution assigns different probabilities to different values.
In non-uniform distribution, some values may be more frequent than others, leading to a skewed or irregular
There are several types of non-uniform distributions, including:
1. Binomial distribution: Describes the number of successes in a fixed number of independent trials, with a
2. Poisson distribution: Models the number of events occurring within a fixed interval of time or space,
3. Exponential distribution: Represents the time between events in a Poisson process, where events occur continuously
4. Normal distribution: A symmetric bell-shaped curve, characterized by its mean and standard deviation, where most
Non-uniform distributions are essential in statistics and probability theory, as they help model and understand real-world