Basic statistical tools in research and data analysis
- PMID: 27729694
- PMCID: PMC5037948
- DOI: 10.4103/0019-5049.190623
Basic statistical tools in research and data analysis
Erratum in
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Erratum: Basic statistical tools in research and data analysis.Indian J Anaesth. 2016 Oct;60(10):790. doi: 10.4103/0019-5049.191714. Indian J Anaesth. 2016. PMID: 27761053 Free PMC article.
Abstract
Statistical methods involved in carrying out a study include planning, designing, collecting data, analysing, drawing meaningful interpretation and reporting of the research findings. The statistical analysis gives meaning to the meaningless numbers, thereby breathing life into a lifeless data. The results and inferences are precise only if proper statistical tests are used. This article will try to acquaint the reader with the basic research tools that are utilised while conducting various studies. The article covers a brief outline of the variables, an understanding of quantitative and qualitative variables and the measures of central tendency. An idea of the sample size estimation, power analysis and the statistical errors is given. Finally, there is a summary of parametric and non-parametric tests used for data analysis.
Keywords: Basic statistical tools; degree of dispersion; measures of central tendency; parametric tests and non-parametric tests; variables; variance.
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References
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- Sprent P. Statistics in medical research. Swiss Med Wkly. 2003;133:522–9. - PubMed
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- Kaur SP. Variables in research. Indian J Res Rep Med Sci. 2013;4:36–8.
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- Satake EB. Statistical Methods and Reasoning for the Clinical Sciences Evidence-Based Practice. Ist ed. San Diego: Plural Publishing, Inc; 2015. pp. 1–19.
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