"This book is well produced ... I can strongly recommend this as a source book for lecturers and teachers" --Teaching Statistics

• Modelling uncertainty * Sample space and events * Definitions of probability * Equally-likely outcomes * The axioms of probability * Conditional probability and independence * Bayes' theorem * Discrete random variables * The binomial and related distributions * Other special discrete distributions * Moments * Continuous random variables * The normal distribution * Functions of a random variable * Bivariate discrete distributions * Sums of independent random variables * The Central Limit theorem * Final thoughts * Answers to selected exercises * References * Index * Appendix 1 - Table of random digits * Appendix 2 - Table of the standard normal cumulative distribution function * Index.

"This book is well produced ... I can strongly recommend this as a source book for lecturers and teachers" --Teaching Statistics

• Modelling uncertainty * Sample space and events * Definitions of probability * Equally-likely outcomes * The axioms of probability * Conditional probability and independence * Bayes' theorem * Discrete random variables * The binomial and related distributions * Other special discrete distributions * Moments * Continuous random variables * The normal distribution * Functions of a random variable * Bivariate discrete distributions * Sums of independent random variables * The Central Limit theorem * Final thoughts * Answers to selected exercises * References * Index * Appendix 1 - Table of random digits * Appendix 2 - Table of the standard normal cumulative distribution function * Index.