Eloszlása

Eloszlása is a Hungarian term that translates to "distribution" in English. It is used in several disciplines, most notably in mathematics, statistics, and economics, to describe how a set of values or quantities are spread across a range. The concept refers to the pattern or arrangement of items, figures, or events relative to a variable or set of variables.

In probability theory and statistics, eloszlása refers to a probability distribution, a function that specifies the likelihood of each possible outcome of a random variable. Common probability distributions include the normal (Gaussian), binomial, Poisson, and uniform distributions. Each has a distinctive shape and set of parameters that determine mean, variance, skewness, and other characteristics. Empirical distribution functions, derived from observed data, provide non‑parametric estimates of the underlying distribution. Distribution theory underpins hypothesis testing, confidence interval construction, and predictive modeling.

Beyond probability, eloszlása appears in economics to denote the distribution of income, wealth, or resources across a population. Economic distributions are analyzed using measures such as the Gini coefficient or Lorenz curve to assess inequality. In network theory, the distribution of node degrees informs the structure of social, biological, or technological networks, with power‑law and exponential forms frequently encountered.

Overall, the study of eloszlása uncovers regularities and patterns that are foundational to inference, decision making, and policy formulation across multiple scientific and practical fields.