R CODE FOR PARAMETRIC AND NON- PARAMETRIC TESTS

Statistics serves as the foundation for various domains such as businesses, policy makers, markets and other sectors involved in activities such as data collection, planning, design, analysis, interpretation and reporting of the research ndings. Moreover, the ndings obtained from a research project carry greater signicance when subjected to analysis using statistical techniques. Various methods are employed to ensure precise data interpretation within the realm of research. Considering the data parameters, we have two methodologies – Parametric tests and Nonparametric tests. Parametric test depends on the presence of normal distributions within the data, whereas Nonparametric tests are suitable for analysing continuous data in any format. This article provides an explanation of a range of Parametric and Nonparametric tests along with R code.