Includes over 800 worked examples and 1,500 problems. John Bird's approach, based on numerous worked examples supported by problems, is ideal for students from a wide range of academic backgrounds, and can be worked though at the student's own pace. This has been proved by the thousands of students guided to exam success by previous editions of this book and the highly popular companion title Engineering Mathematics. A wide and thorough topic coverage makes this an ideal text for a wide range of degree modules and institution-devised HNC/D units. However, it has been written to match specifically the final specifications of the set units from Edexcel for the new Higher National scheme: Analytical Methods for Engineers (core unit: 21717P); Further Analytical Methods for Engineers (21775P); Engineering Mathematics (21766P). It is also suitable for the 'phase 1' Higher National units (9500M, 9529M). ADOPTING LECTURERS Lecturers adopting 'Higher Engineering Mathematics' as their main course text can obtain a free 150 page Instructors Manual comprising worked solutions and a mark scheme for the Assignments in the student text. Please e-mail [email protected] with full name, job title, adopting institution, student numbers and full work mailing details. Pack will be despatched within 24 hours of request. The only book written specifically for the new HNC/D syllabus. Ideal for a wide range of abilites Free Instructors' Manual, available upon request, includes full worked solutions to the 17 Assignments

Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.