Introduction to Probability with Statistical Applications

Now in§its second edition, this textbook serves as an introduction to§probability and statistics for non-mathematics majors who do not need the§exhaustive detail and mathematical depth provided in more comprehensive§treatments of the subject. The presentation covers the mathematical laws of§random phenomena, including discrete and continuous random variables,§expectation and variance, and common probability distributions such as the§binomial, Poisson, and normal distributions. More classical examples such as§Montmort's problem, the ballot problem, and Bertrand's paradox are now§included, along with applications such as the Maxwell-Boltzmann and§Bose-Einstein distributions in physics.§§Key§features in new edition:§§35 new§exercises§Expanded section§on the algebra of sets§§Expanded chapters on probabilities to include more classical examples§§New§section on regression§§Online§instructors' manual containing solutions to all exercises Review of the first edition:§§This textbook is a§classical and well-written introduction to probability theory and statistics. ...§the book is written 'for an audience such as computer science students, whose§mathematical background is not very strong and who do not need the detail and§mathematical depth of similar books written for mathematics or statistics§majors.' ... Each new concept is clearly explained and is followed by many§detailed examples. ... numerous examples of calculations are given and proofs are§well-detailed." (Sophie Lemaire, Mathematical Reviews, Issue 2008 m)§§