| Autor: |
Teli, Anita, Nayaka, Rekha, Ghatanatti, Ravi |
| Předmět: |
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| Zdroj: |
National Journal of Physiology, Pharmacy & Pharmacology; 2023, Vol. 13 Issue 10, p2010-2014, 5p |
| Abstrakt: |
This article provides a comprehensive overview of the importance of selecting the right statistical method for data analysis in biomedical research. It explains the differences between parametric and non-parametric methods and highlights the need to consider the purpose of the study, the type of data, and the measurements when choosing a statistical test. The article offers a range of parametric and non-parametric approaches for comparing means, proportions, and other statistical techniques. It also discusses the benefits and drawbacks of non-parametric methods, emphasizing their usefulness when data does not meet the assumptions of parametric tests. The article stresses the significance of sample size and the p-value in determining statistical significance and concludes by emphasizing the importance of researchers having a basic understanding of statistics to select the appropriate statistical methods for their research. [Extracted from the article] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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