Please note, this resource is suitable for the exams up to June 2022. New revision resources will be available from Spring 2022 for the exams from November 2022. Exam board: ISEB Level: 13+ Subject: French First exam: Autumn 2019 This book features a wealth of exam-style questions, which have been completely revised and updated for the new French ISEB Common Entrance 13+ exam beginning Autumn 2019. Exercises are differentiated by Levels 1 and 2 and are modelled on ISEB papers, covering a variety of topics. This book also includes answers to every question, as well as marking guidance. - Endorsed by ISEB for the new exam beginning Autumn 2019 - Provides comprehensive practice for French at 13+ Common Entrance - Builds students' confidence and helps identify any gaps in knowledge The accompanying audio for this book is available free from galorepark.co.uk/frenchaudio.

Exam board: ISEB Level: 13+ CE and KS3 Subject: French First exams: November 2022 Improve exam technique and build confidence to ensure success in the CE 13+ French exams with these practice questions in the style of the ISEB exams. · Comprehensive practice: cover all sections and topics which could be tested in the exam for Level 1 and Level 2. · Listening exercises with free audio: authentic French voice recordings and accompanying audio transcripts. · Identify gaps in knowledge: answers are included to help pinpoint areas for improvement. Pair with Common Entrance 13+ French Revision Guide for comprehensive exam preparation (ISBN: 9781398351967).

This textbook includes all 13 chapters of Français interactif. It accompanies www.laits.utexas.edu/fi, the web-based French program developed and in use at the University of Texas since 2004, and its companion site, Tex's French Grammar (2000) www.laits.utexas.edu/tex/ Français interactif is an open acess site, a free and open multimedia resources, which requires neither password nor fees. Français interactif has been funded and created by Liberal Arts Instructional Technology Services at the University of Texas, and is currently supported by COERLL, the Center for Open Educational Resources and Language Learning UT-Austin, and the U.S. Department of Education Fund for the Improvement of Post-Secondary Education (FIPSE Grant P116B070251) as an example of the open access initiative.

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.

This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to Probability covers the material precisely, while avoiding excessive technical details. After introducing the basic vocabulary of randomness, including events, probabilities, and random variables, the text offers the reader a first glimpse of the major theorems of the subject: the law of large numbers and the central limit theorem. The important probability distributions are introduced organically as they arise from applications. The discrete and continuous sides of probability are treated together to emphasize their similarities. Intended for students with a calculus background, the text teaches not only the nuts and bolts of probability theory and how to solve specific problems, but also why the methods of solution work.