Developed from celebrated Harvard statistics lectures Introduction to Probability provides essential language & tools for understanding statistics randomness & uncertainty The book explores a wide variety of applications & examples ranging from coincidences & paradoxes to Google Page Rank & Markov chain Monte Carlo (MCMC) Additional application areas explored include genetics medicine computer science & information theory The print book version
Includes:: a code that provides free access to an e Book version The authors present the material in an accessible style & motivate concepts using real-world examples Throughout they use stories to uncover connections between the fundamental distributions in statistics & conditioning to reduce complicated problems to manageable pieces The book
Includes:: many intuitive explanations diagrams & practice problems Each chapter ends with a section showing how to perform relevant simulations & calculations in R a free statistical software environment