Introduction to Probability, 2/e (Hardcover)

Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory.　

The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces.

The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.

The second edition adds many new examples, exercises, and explanations, to deepen understanding of the ideas, clarify subtle concepts, and respond to feedback from many students and readers. New supplementary online resources have been developed, including animations and interactive visualizations, and the book has been updated to dovetail with these resources.　

Supplementary material is available on Joseph Blitzstein's website www. stat110.net. The supplements include:
Solutions to selected exercises
Additional practice problems
Handouts including review material and sample exams Animations and interactive visualizations created in connection with the edX online version of Stat 110.
Links to lecture videos available on ITunes U and YouTube There is also a complete instructor's solutions manual available to instructors who require the book for a course.

《概率入門》是根據著名的哈佛統計學講座所編寫的，提供了理解統計學、隨機性和不確定性的基本語言和工具。本書探討了各種應用和例子，從巧合和悖論到Google PageRank和馬爾可夫鏈蒙特卡羅（MCMC）。還探討了遺傳學、醫學、計算機科學和信息理論等其他應用領域。

作者以易於理解的風格呈現材料，並使用現實世界的例子來激發概念。在整個過程中，他們使用故事來揭示統計學中基本分佈和條件概率之間的聯繫，以將複雜的問題化繁為簡。

本書包含許多直觀的解釋、圖表和練習問題。每章結束時，都有一節展示如何在免費的統計軟件環境R中進行相關模擬和計算。

第二版增加了許多新的例子、練習和解釋，以加深對概念的理解，澄清微妙的概念，並回應許多學生和讀者的反饋。還開發了新的補充在線資源，包括動畫和互動可視化，並將書籍更新以與這些資源相配合。

Joseph Blitzstein的網站www.stat110.net提供了補充資料。這些補充資料包括：
- 選定練習的解答
- 額外的練習問題
- 包括復習材料和樣本考試的講義
- 與Stat 110的edX在線版本相關的動畫和互動可視化
- 在ITunes U和YouTube上可用的講座視頻的鏈接
- 還有一本完整的教師解答手冊可供需要該課程的教師使用。

Joseph K. Blitzstein, PhD, professor of the practice in statistics, Department of Statistics, Harvard University, Cambridge, Massachusetts, USA

Jessica Hwang is a graduate student in the Stanford statistics department.

Joseph K. Blitzstein, PhD，哈佛大學統計學系統計學實踐教授，位於美國麻薩諸塞州劍橋市。

Jessica Hwang 是斯坦福大學統計學系的研究生。