THE IMPORTANCE OF STATISTICAL METHODS IN DATA ANALYSIS

Abstract

This article investigates the critical importance of statistical methods in interpreting research outcomes across a wide range of scientific disciplines. It explains how statistical approaches assist researchers in structuring data, uncovering meaningful trends, ensuring the consistency and credibility of findings, and formulating conclusions grounded in empirical evidence. In addition, the paper examines the role of both descriptive and inferential statistics in making sense of complex datasets, highlighting their contribution to improving the precision, openness, and scientific significance of research results. Moreover, the study identifies common difficulties encountered in the selection and application of statistical techniques and provides practical insights aimed at enhancing data analysis practices.