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Every Medical, Dental and allied branch student find it quite difficult to understand the conceptual framework of choosing an appropriate statistical test for their research question. Most of the books where this concept is provided are not supported by easy examples from the medical world. Utilization of the statistical approach in Medical research is difficult and confusing. Students usually don’t enjoy the statistical part due to the way these concepts are taught to them or described in Biostatistics Books. Though students know about the names of different statistical test of significance but the concept is either not understood well or crammed from different books as such. This book “Choosing statistical tests in Pharma Research” explains the simple process of selection of statistical tests in the Medical research. This book is a concise collection of eight chapters. In the initial chapter, user understands the type of data, with very simple examples. This chapter lays the foundation of next chapters, where the concept of distribution of data is introduced in a very simple way. This chapter is followed by the systematic description of How to choose the statistical tests, along with suitable examples. Every chapter is followed with exercise, where the students would be able to test their knowledge and revise the concept. Statistical tests like one-tailed or two-tailed, test for homogeneity of variances and post-hoc tests of ANOVA are also explained in a very simple manner. The usual jargons of Research are avoided to the maximum in order to have a better understanding. The figures and pictures provided in the book also give a lighter look. After going through the entire book, reader would be able to choose the appropriate statistical tests for their research studies.