(By examining statistical tools that are commonly used by most researchers, this paper analyses the pros and cons of such choices and by doing so, will serve as a roadmap on how to arrive at a considered decision, as regards the statistical techniques to be used for a study.

This paper focuses on some commonly experienced projects, where the choice of appropriate techniques needs a considered decision. There has been a significant advancement in the application of statistical tools in plant pathology during the past four decades. Using statistical tools, without checking the appropriateness of their axioms, results in misusing them. A recent review of several research projects submitted by students reveals that statistical tools, used during research, need a thorough scrutiny. Researchers make use of statistical techniques in their work because it is mandatory to do so in some disciplines, but many of the statistical tools applied are not appropriate, which is why empirical work does not get published, in national and international journals of repute. The package is particularly useful for students and researchers in. The topic of time series analysis is therefore omitted, as is analysis of variance. user-friendly software package for the manipulation and statistical analysis of data. particle collisions or decays, as opposed to the data of a radio astronomer, who deals with a signal measured as a function of time. Here the data usually consist of a set of observed events, e.g. Statistics is a science that confuses many, scares some and excites few. of analysis usually encountered in particle physics.

Statistical tools for data analysis pdf