Probability [electronic resource] : an introduction with statistical applications / John J. Kinney.

Sample spaces and probability Discrete random variables and probability distributions Continuous random variables and probability distributions Functions of random variables; generating functions; statistical applications Bivariate probability distributions Recursions and Markov chains Some challenging problems.

John Kinney's new text takes a more modern and visual approach to Probability than any other text currently available. The use of computer algebra systems such as Mathematica, relieve the computational aspects of algebra and calculus. Students are able to focus more clearly on the meaning of results. The clear exposition and example problems allow this book to be used independent of the computer as well. The book integrates the most important applications of probability through a variety of fields using more than 800 worked examples and problems in the text. The problems are presented at various levels of difficulty allowing students to take on more challenging problems as their skill level increases. Professor Kinney places a strong emphasis on statistical analysis of data as an application of probability. Topics from statistics are integrated throughout the book and exercises accompany this material, with reliability, acceptance sampling, confidence intervals, hypothesis testing and simple linear regression all being covered in the book.