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Research methodology and biostatistics are foundational pillars of scientific investigation, especially in health and life sciences. Research methodology involves the structured process of identifying a problem, formulating hypotheses, designing the study, collecting data, and analyzing results. It ensures that research is systematic, objective, and reproducible. Key components include study design (observational or experimental), sampling methods, data collection techniques, and ethical considerations. Biostatistics complements research by applying statistical principles to biological data. It enables researchers to summarize data, test hypotheses, determine associations, and draw valid conclusions. Common biostatistical methods include descriptive statistics, probability distributions, hypothesis testing, regression analysis, and survival analysis. Together, these fields ensure that research findings are not only scientifically sound but also statistically significant and practically relevant. A comprehensive understanding of both is essential for designing robust studies, minimizing bias, and ensuring evidence-based practice in medicine, public health, and allied sciences.