Abstract
Various statistical techniques exist in statistics for the analysis and interpretation of the data. The awareness of assumptions and circumstances governing each statistical method is crucial for selecting the best method for data analysis. The purpose of the study, the type of data, and the measurements (paired or unpaired) are the three aspects to decide the most appropriate statistical method. Statistical procedures that compare means are known as parametric methods, and those statistical techniques that reach median, mean ranks, or proportions are known as nonparametric techniques. The current review aims to help the reader understand the assumptions underlying both parametric and non-parametric statistical approaches and to choose the best ones for the analysis and interpretation of biomedical data.
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