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The Text Book of Biostatistics and Research Methodology offers a comprehensive guide to the essential concepts and statistical techniques used in pharmaceutical research and biostatistics. Designed to serve as both a textbook and a reference, it covers a wide range of topics that are crucial for students and professionals in the field. The book begins with an introduction to measures of central tendency, including mean, median, and mode, providing practical pharmaceutical examples to help readers understand their applications. Next, it delves into measures of dispersion such as range, standard deviation, and their pharmaceutical implications. The section on correlation explores Karl Pearson’s coefficient and multiple correlation with a focus on real-world pharmaceutical problems. In the regression section, the book teaches methods like curve fitting, regression models, and the standard error of regression, applying these concepts to pharmaceutical scenarios. The book also provides an in-depth explanation of probability, covering binomial, normal, and Poisson distributions, along with various probability-related topics, including sample size, null and alternative hypotheses, and errors in statistical analysis. The parametric tests section includes t-tests, ANOVA, and least significance difference, while non-parametric tests such as Wilcoxon Rank Sum, Mann-Whitney U, and Kruskal-Wallis tests are also thoroughly covered. Additionally, the book explores research methodology, including the need for research, experimental design techniques, and the importance of plagiarism prevention. The section on graphs explains various types such as histograms, pie charts, and response surface plots, with practical examples for visual data representation. The methodology design chapter provides critical information on sample size determination, report writing, and designing clinical trials, including details on observational and experimental studies.