IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319 1775 Online 2320-7876

Exploring the Landscape of Statistical Methods in Research: A Comprehensive Survey

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M. Radha Madhavi1, Puvvada Nagesh2
» doi: 10.48047/IJFANS/11/S6/029


Statistical methods play a pivotal role in modern research, offering a robust framework for data analysis, interpretation, and decision-making across various disciplines. This survey article provides an in-depth exploration of the diverse and evolving landscape of statistical methods used in research. We offer a comprehensive overview of key statistical techniques, their applications, and their significance in enhancing the quality and rigor of research studies.The article begins with a brief historical context of statistical methods and their evolution, highlighting their growing importance in the data-driven era. We then categorize and discuss various statistical methods, including descriptive statistics, inferential statistics, regression analysis, experimental design, and more. Each category is accompanied by real-world examples illustrating their practical utility in research.

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