The Second Edition Represents An Ongoing Effort To Make Probability Accessible To Students In A Wide Range Of Fields Such As Mathematics, Statistics And Data Science, Engineering, Computer Science, And Business Analytics. The Book Is Written For Those Learning About Probability For The First Time. Revised And Updated, The Book Is Aimed Specifically At Statistics And Data Science Students Who Need A Solid Introduction To The Basics Of Probability.while Retaining Its Focus On Basic Probability, Including Bayesian Probability And The Interface Between Probability And Computer Simulation, This Edition's Significant Revisions Are As Follows:many Extra Motivational Examples And Problemsnew Material On Bayesian Probability, Including Two Famous Court Casesnew Sections On Real-world Applications Of The Poisson Distributionnew Sections On Generating Functions And The Bivariate Normal Densitynew Chapter On Markov Chains, Including Markov Chain Monte Carlo Simulationthe Approach Followed In The Book Is To Develop Probabilistic Intuition Before Diving Into Details.