Description

Probability and Statistical Inference offers a comprehensive exploration of probability theory and its application to statistical analysis, bridging foundational concepts with advanced methodologies. The book begins with core topics such as probability distributions, random variables, and expected values, establishing the groundwork for statistical inference. It then delves into hypothesis testing, confidence intervals, estimation methods, and regression analysis, illustrating how these tools are used to draw meaningful conclusions from data. With an emphasis on real-world applications, the text integrates examples from diverse fields, including science, business, and social research, to demonstrate the practical relevance of probability and statistics. Each chapter includes exercises and problem sets designed to reinforce understanding and foster critical thinking. Suitable for students, researchers, and practitioners, Probability and Statistical Inference is an essential resource for mastering the principles of data-driven decision-making and analytical reasoning.