Based on celebrated Harvard statistics lectures, Introduction to Probability offers a clear and engaging approach to understanding randomness, uncertainty, and the fundamentals of statistics. The book spans a wide range of applications and examples - from everyday coincidences and paradoxes to modern techniques like Google PageRank and Markov chain Monte Carlo (MCMC) - and also extends its reach to areas such as genetics, medicine, computer science, and information theory. The authors use intuitive stories and diagrams to reveal connections between core statistical distributions and the use of conditioning to simplify complex problems. Each chapter concludes with practical sections that illustrate how to perform simulations and calculations using R, making the concepts accessible and applicable. In its second edition, new examples, exercises, and explanations have been added to deepen the reader’s understanding and to clarify subtle ideas based on valuable feedback. Additionally, the book is complemented by newly developed online resources, including animations and interactive visualizations, which edge the learning experience into a more dynamic realm.
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