Introduction Non-parametric tests are essential tools in biostatistics when data do not meet parametric assumptions such as normality or homogeneity of variance. This set of MCQs focuses on two widely used non-parametric methods in M.Pharm research: the Wilcoxon tests (signed-rank and rank-sum/Mann–Whitney) and the Chi-square family of tests (goodness-of-fit and tests of independence). The questions … Read more
Introduction: This set of multiple-choice questions on correlation coefficients and regression is tailored for M.Pharm students preparing for exams in Research Methodology & Biostatistics. The quiz emphasizes conceptual understanding and practical interpretation of Pearson and Spearman correlations, regression line parameters, assumptions of least squares, coefficient of determination, residual analysis, and issues such as multicollinearity, measurement … Read more
Introduction: Parametric tests: t-test, ANOVA MCQs With Answer is a focused revision resource designed for M.Pharm students preparing for exams in Research Methodology & Biostatistics. This set of multiple-choice questions covers core concepts, assumptions, computations and interpretations of parametric tests such as one-sample, paired and independent t-tests, one-way and two-way ANOVA, repeated measures ANOVA, post-hoc … Read more
Introduction: This quiz collection on Significance tests and their types is designed for M.Pharm students to strengthen their understanding of hypothesis testing, selection of appropriate tests, underlying assumptions, and interpretation of results. The questions focus on common parametric and nonparametric methods used in pharmaceutical research, clinical trials, and laboratory studies — including t-tests, ANOVA, chi-square, … Read more
Introduction: Dropouts in clinical studies are participants who discontinue or become lost to follow-up before a study’s planned endpoint. For M.Pharm students, understanding dropouts is essential because they influence internal validity, statistical power, and regulatory acceptance of trial results. This blog offers focused multiple-choice questions that explore reasons for dropout, classifications (e.g., MCAR, MAR, MNAR), … Read more
Designing an appropriate sample size is a cornerstone of rigorous M.Pharm research. This concise quiz on “Sample size and influencing factors” focuses on the statistical and practical aspects that determine how many subjects, observations or events are needed for valid conclusions. You will encounter items on effect size, variance, confidence level, power, design effects, cluster … Read more
Introduction: This quiz set on the definition and application of biostatistics is designed specifically for M.Pharm students to strengthen foundational concepts and their practical use in pharmaceutical research. It covers core definitions, data types, descriptive and inferential measures, probability distributions, hypothesis testing, sample size, and common statistical tests used in clinical and experimental studies. Each … Read more
Placebo and blinding techniques MCQs With Answer — Introduction This collection of MCQs is designed specifically for M.Pharm students to deepen understanding of placebo concepts and blinding methodologies in clinical research. It covers theoretical foundations, practical applications, ethical considerations, and advanced topics such as double-dummy designs, active placebos, blinding assessment metrics, and the impact of … Read more
Introduction: This blog presents a focused set of multiple-choice questions on crossover study designs, tailored for M.Pharm students studying Research Methodology & Biostatistics. Crossover trials are widely used in pharmacology and bioequivalence studies because each participant receives multiple treatments, allowing within-subject comparisons and greater statistical efficiency. The questions below cover design types (2×2, Latin square, … Read more
Introduction: This quiz set on Controls and Randomization is designed for M.Pharm students to strengthen core concepts in experimental design and clinical trial methodology. Understanding controls and randomization is vital to minimize bias, ensure internal validity, and correctly interpret therapeutic effects. These questions go beyond definitions to cover practical issues such as allocation concealment, block … Read more
