Topics include probability distributions, hypothesis testing, sampling techniques, correlation and regression, and time series analysis, offering students a deep understanding of statistical tools and their applications. Each chapter presents theoretical concepts followed by practical examples, guiding students through solving real-world problems and interpreting results effectively. Graphs, tables, and step-by-step procedures are included to enhance clarity and understanding. With exercises and practice problems at the end of each chapter, students can develop their analytical skills and prepare for exams. This textbook is a valuable resource for those planning to pursue further studies in fields that require a strong grasp of statistical methods.La
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