Probability : with applications and R A good probability book at the undergraduate level should develop proper problem solving skills and mathematical maturity; contain a nice mix of theory and application; and be useful in numerous client disciplines (such as computer science economics and engineering). It should be written by someone who has consistently taught the course over numerous years and is tolerant of varying levels of student reader backgrounds. Probability with Applications in R by Robert Dobrow is such a book. Passionate about problem solving methods and strategies Dobrow offers guided assistance for techniques that can be generalized to a wide range of situations (e.g. taking complements working with indicator variables conditioning etc.). The author also introduces and then emphasizes simulation (by way of the ever increasing popularity of freeware R) throughout the text in order to illustrate concepts and highlight computational and theoretical results. Real life data and examples over 150 applications and a multitude of simple and provocative exercises are prevalent. Other key features include discussion of probabilistic topics rather than combinatorial ones; multiple point of view arguments; and an early introduction to random variables