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Statistics is a scientic discipline focused on the collection, presentation, examination, and interpretation of numerical data. Statistics has a very important role in research design. A good grasp of statistics is essential for systematic study. This requires an appropriate selection of samples, techniques, and tools for analysis. Improper statistical techniques may lead to erroneous conclusions. R is a statistical computing language, and many programs are built into it for analysis. This article discusses various research types and the suitable statistical techniques to collect the sample and R codes for various analyses of the data and draw meaningful inferences.
Prabhu et al. (Fri,) studied this question.
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