Experimental Designs and Statistics: An Overview of Multidisciplinary Applications
Abstract: This article offers a comprehensive review of experimental design methodologies and their statistical underpinnings across diverse scientific domains. It examines classical models such as Randomized Blocks, Latin Squares, Split Plots, and Nested Designs, discussing their core principles, advantages, and limitations. The paper highlights how these methodologies address challenges like heterogeneity and missing data, enhancing research quality. Through multidisciplinary examples from engineering, healthcare, agriculture, and education, the study underscores the adaptability and critical importance of experimental designs in contemporary research.
Keywords: Experimental design, Statistical analysis, Randomized block design, Missing data, Multidisciplinary research
How to Cite?: Ersin Uysal, Sezai Ogras, "Experimental Designs and Statistics: An Overview of Multidisciplinary Applications", Volume 14 Issue 7, July 2025, International Journal of Science and Research (IJSR), Pages: 1493-1500, https://www.ijsr.net/getabstract.php?paperid=SR25722164208, DOI: https://dx.doi.org/10.21275/SR25722164208