## Maths in Action - Advanced Higher Statistics 1

**Author**: Ralph Riddiough,John H. McColl

**Publisher:**Nelson Thornes

**ISBN:**9780174315445

**Category:**Juvenile Nonfiction

**Page:**176

**View:**6275

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Developed for those following the Statistics 1 unit within the Mathematics and Applied Mathematics courses at Advanced Higher Level, this title is part of a series of five covering the Advanced Higher units in Mathematics and Statistics. All the books in the series pprovide: a straightforward route through the course with complete and ordered coverage of the units; numerous questions for practice and consolidation; thorough preparation for end-of-unit and end of course assessments.

## Maths in Action - Advanced Higher Mathematics 2

**Author**: Edward C. K. Mullan,Peter Westwood,Clive Chambers

**Publisher:**Nelson Thornes

**ISBN:**9780174315421

**Category:**Mathematics

**Page:**168

**View:**2893

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This is a series of five books each covering a separate unit of the Advanced Higher course. This unit structure gives you the flexibility to put together a complete course or to offer separate units of study.

## Maths in Action - Higher Mathematics Preparation for Assessment

**Author**: E. C. K. Mullan,Robin D. Howat,Ken Nisbet,Ralph Riddiough

**Publisher:**Nelson Thornes

**ISBN:**9780174315407

**Category:**Juvenile Nonfiction

**Page:**152

**View:**3179

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This new book provides additional practice exercises matched precisely to the performance criteria for all four units of Higher Mathematics. It prepares students for internal Unit Tests and external Course Assessments in Mathematics and Statistics.

## Maths in Action - Advanced Higher Mathematics 1

**Author**: Edward C. K. Mullan,William Richardson,Clive Chambers

**Publisher:**Nelson Thornes

**ISBN:**9780174315414

**Category:**Juvenile Nonfiction

**Page:**172

**View:**7458

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This is a series of five books each covering a separate unit of the Advanced Higher course. This unit structure gives you the flexibility to put together a complete course or to offer separate units of study.

## The Basic Practice of Statistics

**Author**: David S. Moore

**Publisher:**Palgrave Macmillan

**ISBN:**1429224266

**Category:**Mathematics

**Page:**730

**View:**5799

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The Basic Practice of Statistics has become a bestselling textbook by focusing on how statistics are gathered, analyzed, and applied to real problems and situations—and by confronting student anxieties about the course's relevance and difficulties head on. With David Moore's pioneering "data analysis" approach (emphasizing statistical thinking over computation), engaging narrative and case studies, current problems and exercises, and an accessible level of mathematics, there is no more effective textbook for showing students what working statisticians do and what accurate interpretations of data can reveal about the world we live in. In the new edition, you will once again see how everything fits together. As always, Moore's text offers balanced content, beginning with data analysis, then covering probability and inference in the context of statistics as a whole. It provides a wealth of opportunities for students to work with data from a wide range of disciplines and real-world settings, emphasizing the big ideas of statistics in the context of learning specific skills used by professional statisticians. Thoroughly updated throughout, the new edition offers new content, features, cases, data sources, and exercises, plus new media support for instructors and students—including the latest version of the widely-adopted StatsPortal. The full picture of the contemporary practice of statistics has never been so captivatingly presented to an uninitiated audience.

## Understanding Statistics

**Author**: Graham Upton,Ian Cook

**Publisher:**Oxford University Press

**ISBN:**9780199143917

**Category:**Juvenile Nonfiction

**Page:**657

**View:**9892

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Understanding Statistics meets the requirements of A Level Statistics, both as a subject in its own right and as a part of Mathematics. The authors are both experienced teachers and examiners and present statistical ideas in an enjoyable fashion using a lively commentary and interesting contexts. Key Points: · Very approachable text supported by numerous illustrations · Formulae are derived as simply as possible, without using advanced mathematics, and worked examples are given for guidance · Over 1000 exercises, including a great many from past exam papers · Includes suggestions for practical work and for calculator and computer exercises · Answers are given at the back of the book

## Understanding Mechanics

**Author**: A. J. Sadler,D. W. S. Thorning

**Publisher:**Oxford University Press, USA

**ISBN:**9780199146758

**Category:**Mechanics

**Page:**506

**View:**8920

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One of the clearest and most straightforward texts ever published, Understanding Mechanics covers all the topics required in the single-subject A Level. It is equally appropriate for those preparing for other Mathematics examinations at A Level and for students on technical courses in further and higher education. Key Points: DT Principles are introduced in a simple and direct manner and all have worked examples DT Ample opportunity is given for practice with questions and exercises carefully graded to provide a steady progression DT Each chapter closes with a comprehensive selection of recent examination questions DT Answers are given at the back of the book

## How Not to be Wrong

*The Power of Mathematical Thinking*

**Author**: Jordan Ellenberg

**Publisher:**Penguin

**ISBN:**0143127535

**Category:**Business & Economics

**Page:**480

**View:**9686

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"Using the mathematician's method of analyzing life and exposing the hard-won insights of the academic community to the layman, minus the jargon ... Ellenberg pulls from history as well as from the latest theoretical developments to provide those not trained in math with the knowledge they need"--

## Statistics in Plain English

**Author**: Timothy C. Urdan

**Publisher:**Psychology Press

**ISBN:**0805852417

**Category:**Mathematics

**Page:**184

**View:**6310

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This book is meant to be a supplement to a more detailed statistics textbook, such as that recommended for a statistics course in the social sciences. Also, as a reference book to refresh your memory about statistical concepts.

## Core Maths for Advanced Level

**Author**: Linda Bostock,Suzanne Chandler

**Publisher:**Nelson Thornes

**ISBN:**9780748755097

**Category:**Juvenile Nonfiction

**Page:**534

**View:**5405

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Since the launch of the Human Genome project in 1990, understanding molecular and clinical genetics has become an essential aspect of modern medical education. Solid knowledge of genetics is now crucial to a host of healthcare professionals including primary care physicians, nurses and physician assistants. This third edition takes this crucial information and incorporates it into a student-friendly format that focuses on the core concept of human genetics. Each chapter uses the same problem-based approach as the previous editions, and addresses the important role of genetics and disease by integrating molecular and clinical genetics.

## Advanced Higher Mathematics 3

**Author**: Edward Mullan,Peter Westwood,Clive Chambers

**Publisher:**Nelson Thornes

**ISBN:**9780174315438

**Category:**Mathematics

**Page:**184

**View:**5983

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This is a series of five books each covering a separate unit of the Advanced Higher course. This unit structure gives you the flexibility to put together a complete course or to offer separate units of study.

## The Practice of Statistics

**Author**: Daren S. Starnes,Dan Yates,David S. Moore

**Publisher:**Macmillan

**ISBN:**142924559X

**Category:**Mathematics

**Page:**858

**View:**9819

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Tailored to mirror the AP Statistics course, "The Practice of Statistics" became a classroom favorite. This edition incorporates a number of first-time features to help students prepare for the AP exam, plus more simulations and statistical thinking help, and instructions for the TI-89 graphic calculator."

## Maths in Action - Higher Mathematics Preparation for Assessment

**Author**: E. C. K. Mullan,Robin D. Howat,Ken Nisbet,Ralph Riddiough

**Publisher:**Nelson Thornes

**ISBN:**9780174315407

**Category:**Juvenile Nonfiction

**Page:**152

**View:**8139

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This new book provides additional practice exercises matched precisely to the performance criteria for all four units of Higher Mathematics. It prepares students for internal Unit Tests and external Course Assessments in Mathematics and Statistics.

## Randomness

**Author**: Deborah J. Bennett

**Publisher:**Harvard University Press

**ISBN:**9780674020771

**Category:**Mathematics

**Page:**256

**View:**5347

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From the ancients' first readings of the innards of birds to your neighbor's last bout with the state lottery, humankind has put itself into the hands of chance. Today life itself may be at stake when probability comes into play--in the chance of a false negative in a medical test, in the reliability of DNA findings as legal evidence, or in the likelihood of passing on a deadly congenital disease--yet as few people as ever understand the odds. This book is aimed at the trouble with trying to learn about probability. A story of the misconceptions and difficulties civilization overcame in progressing toward probabilistic thinking, "Randomness" is also a skillful account of what makes the science of probability so daunting in our own day. To acquire a (correct) intuition of chance is not easy to begin with, and moving from an intuitive sense to a formal notion of probability presents further problems. Author Deborah Bennett traces the path this process takes in an individual trying to come to grips with concepts of uncertainty and fairness, and also charts the parallel path by which societies have developed ideas about chance. Why, from ancient to modern times, have people resorted to chance in making decisions? Is a decision made by random choice "fair"? What role has gambling played in our understanding of chance? Why do some individuals and societies refuse to accept randomness at all? If understanding randomness is so important to probabilistic thinking, why do the experts disagree about what it really is? And why are our intuitions about chance almost always dead wrong? Anyone who has puzzled over a probability conundrum is struck by the paradoxes and counterintuitive results that occur at a relatively simple level. Why this should be, and how it has been the case through the ages, for bumblers and brilliant mathematicians alike, is the entertaining and enlightening lesson of "Randomness."

## An Introduction to Statistical Learning

*with Applications in R*

**Author**: Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani

**Publisher:**Springer Science & Business Media

**ISBN:**1461471389

**Category:**Mathematics

**Page:**426

**View:**6425

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An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

## Advanced Calculus

*Revised*

**Author**: Lynn Harold Loomis,Shlomo Sternberg

**Publisher:**World Scientific Publishing Company

**ISBN:**9814583952

**Category:**Mathematics

**Page:**596

**View:**8892

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An authorised reissue of the long out of print classic textbook, Advanced Calculus by the late Dr Lynn Loomis and Dr Shlomo Sternberg both of Harvard University has been a revered but hard to find textbook for the advanced calculus course for decades. This book is based on an honors course in advanced calculus that the authors gave in the 1960's. The foundational material, presented in the unstarred sections of Chapters 1 through 11, was normally covered, but different applications of this basic material were stressed from year to year, and the book therefore contains more material than was covered in any one year. It can accordingly be used (with omissions) as a text for a year's course in advanced calculus, or as a text for a three-semester introduction to analysis. The prerequisites are a good grounding in the calculus of one variable from a mathematically rigorous point of view, together with some acquaintance with linear algebra. The reader should be familiar with limit and continuity type arguments and have a certain amount of mathematical sophistication. As possible introductory texts, we mention Differential and Integral Calculus by R Courant, Calculus by T Apostol, Calculus by M Spivak, and Pure Mathematics by G Hardy. The reader should also have some experience with partial derivatives. In overall plan the book divides roughly into a first half which develops the calculus (principally the differential calculus) in the setting of normed vector spaces, and a second half which deals with the calculus of differentiable manifolds.

## The Book of R

*A First Course in Programming and Statistics*

**Author**: Tilman M. Davies

**Publisher:**No Starch Press

**ISBN:**1593277792

**Category:**Computers

**Page:**832

**View:**6475

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The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.

## Oxford Probability and Statistics 1

*For Cambridge International AS and A Level*

**Author**: James Nicholson

**Publisher:**Oxford University Press, USA

**ISBN:**9780198306931

**Category:**Mathematical statistics

**Page:**224

**View:**5586

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This stretching course builds the advanced skills students will need for the latest Cambridge assessments and prepares them for the transition to higher education. Engaging, real world examples are included throughout, making mathematics relevant to real life.FeaturesHelp every student build crucial analytical skills - with clear explanations and extensive practice to prepare them for the demands of university level study.Make mathematics relevant to real life - with engaging, real life applications from around the world, to keep students motivated.Develop exam confidence - Cambridge past paper questions and exam style questions provide plenty of relevant practice for the latest Cambridge assessments.Comprehensive - we are working with Cambridge towards endorsementBuild strong mathematical skillsR - David Rayner's clear, practice-based approach is trusted around the world to develop students' confidence and support achievement.Ensure every student masters every topic - skills check sections at the start of each topic ensure students always know where they are, and review questions throughout the book reinforce their knowledge.Eliminate confusion - worked examples are included throughout, and a separate Worked Solutions Manual covering Pure Mathematics, Mechanics and Statistics ensures students understand complex methods.

## Statistics: Concepts and Controversies

**Author**: David S. Moore,William I. Notz,William Notz

**Publisher:**Macmillan

**ISBN:**9780716786368

**Category:**Mathematics

**Page:**561

**View:**8733

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Statistics are used every day in ways that directly influence our lives. The authors help you understand what the numbers really mean.

## Applied Mathematics: A Very Short Introduction

**Author**: Alain Goriely

**Publisher:**Oxford University Press

**ISBN:**0191068888

**Category:**Mathematics

**Page:**144

**View:**5607

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Mathematics is playing an increasing important role in society and the sciences, enhancing our ability to use models and handle data. While pure mathematics is mostly interested in abstract structures, applied mathematics sits at the interface between this abstract world and the world in which we live. This area of mathematics takes its nourishment from society and science and, in turn, provides a unified way to understand problems arising in diverse fields. This Very Short Introduction presents a compact yet comprehensive view of the field of applied mathematics, and explores its relationships with (pure) mathematics, science, and engineering. Explaining the nature of applied mathematics, Alain Goriely discusses its early achievements in physics and engineering, and its development as a separate field after World War II. Using historical examples, current applications, and challenges, Goriely illustrates the particular role that mathematics plays in the modern sciences today and its far-reaching potential. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.