megoszlása

Me goszlása is a Hungarian term that denotes the distribution or allocation of something. It describes how a quantity, characteristic, or resource is spread among elements, groups, or outcomes. The word is used across disciplines to refer to the pattern or arrangement of a set of items and can indicate both spatial and abstract distribution.

In statistics and probability, megoszlása refers to the distribution of a random variable. It is described by a probability distribution, which for discrete variables is given by a probability mass function and for continuous variables by a probability density function, together with the cumulative distribution function. Common distributions include the normal, uniform, exponential, and binomial. An empirical megoszlása describes observed frequencies in data and is often visualized with histograms or cumulative plots. Distribution fitting involves estimating a theoretical distribution to data, followed by goodness-of-fit tests such as the Kolmogorov–Smirnov or chi-squared tests.

In economics and the social sciences, megoszlása is used to discuss how income, wealth, population, or other attributes are distributed across a society or region. Tools such as the Lorenz curve and the Gini coefficient quantify distributional properties and inequality, while analyses may consider regional, temporal, or demographic variations.

In data analysis and research methodology, megoszlása also refers to the spread of variables within a dataset, including measures of central tendency, dispersion, skewness, and kurtosis. It informs decisions about data transformation, normalization, and the interpretation of results in light of the underlying distribution.