Choosing Right Statistical Test for Data Analysis
DOI:
https://doi.org/10.52206/jsmc.2024.14.3.989Abstract
In scientific research, selecting the appropriate statistical test is crucial for accurate data analysis and valid inference. They allow researchers to make informed inferences about populations, quantify uncertainty, test hypotheses, identify relationships, and provide evidence-based support for decisions. By rigorously evaluating data, statistical tests enhance the credibility and generalizability of research findings. This process is guided by several key steps, including the type of data collected, the research design, and the assumptions underlying statistical tests.
References
Marusteri M, Bacarea V. Comparing groups for statistical differences: how to choose the right statistical test? Biochem Med. 2010;20(1):15-32. https://hrcak.srce.hr/47847
Tsagris M, Pandis N. Normality test: Is it really necessary?. Am J Orthod Dentofacial Orthop. 2021;159(4):548-9. DOI: https://doi.org/10.1016/j.ajodo.2021.01.003
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