Source: wikibot/central-limit-theorem-for-directional-statistics

= Central limit theorem for directional statistics
{wiki=Central_limit_theorem_for_directional_statistics}

The Central Limit Theorem (CLT) for directional statistics is an extension of the classical CLT that applies to circular or directional data, where directions are typically represented on a unit circle. This branch of statistics is particularly important in fields such as biology, geology, and meteorology, where data points may represent angles or orientations rather than linear quantities.