This work provides a comprehensive overview of biostatistical methods and their applications in biological and medical research. It covers fundamental concepts such as probability distributions, hypothesis testing, regression analysis, and experimental design, with an emphasis on practical implementation using real-world datasets. The text is structured to support both theoretical understanding and hands-on data analysis, making it suitable for students and researchers in the life sciences. Key topics include descriptive statistics, inferential methods, survival analysis, and the interpretation of statistical software output. The book also features numerous worked examples and exercises to reinforce learning and develop analytical skills essential for evidence-based research.