Understand Statistics: Teach Yourself

Author: Alan Graham

Publisher: Teach Yourself

ISBN: 1444130994

Category: Mathematics

Page: 320

View: 4841

Do you want to better understand the statistics you hear everyday - and recognise if you're being misled? Here is a straightforward introduction to the principles of this vital field of mathematics. Assuming minimal knowledge and using examples from a wide variety of everyday contexts, this book makes even complex concepts and techniques easy to grasp. NOT GOT MUCH TIME? One, five and ten-minute introductions to key principles to get you started. AUTHOR INSIGHTS Lots of instant help with common problems and quick tips for success, based on the author's many years of experience. TEST YOURSELF Tests in the book and online to keep track of your progress. EXTEND YOUR KNOWLEDGE Extra online articles at www.teachyourself.com to give you a richer understanding of psychology. FIVE THINGS TO REMEMBER Quick refreshers to help you remember the key facts. TRY THIS Innovative exercises illustrate what you've learnt and how to use it.

Understand Statistics: Teach Yourself

Author: Alan Graham

Publisher: Hachette UK

ISBN: 1444130994

Category: Mathematics

Page: 320

View: 1215

Do you want to better understand the statistics you hear everyday - and recognise if you're being misled? Here is a straightforward introduction to the principles of this vital field of mathematics. Assuming minimal knowledge and using examples from a wide variety of everyday contexts, this book makes even complex concepts and techniques easy to grasp. NOT GOT MUCH TIME? One, five and ten-minute introductions to key principles to get you started. AUTHOR INSIGHTS Lots of instant help with common problems and quick tips for success, based on the author's many years of experience. TEST YOURSELF Tests in the book and online to keep track of your progress. EXTEND YOUR KNOWLEDGE Extra online articles at www.teachyourself.com to give you a richer understanding of psychology. FIVE THINGS TO REMEMBER Quick refreshers to help you remember the key facts. TRY THIS Innovative exercises illustrate what you've learnt and how to use it.

Statistics

Author: Alan Graham

Publisher: Teach Yourself

ISBN: 9780844236841

Category: Mathematics

Page: 283

View: 2604

Teach Yourself Statistics presents the basic ideas and techniques of this branch of mathematics clearly and simply. It provides help with basic math, focuses on key ideas, and uses a minimum of jargon and formulas.

Teach Yourself Statistics

Author: Alan Graham

Publisher: N.A

ISBN: 9780340966167

Category: Statistics

Page: 310

View: 9973

Do you need to gain confidence with handling numbers and formulae? Do you want a clear, step-by-step guide to the key concepts and principles of statistics? Nearly every aspect of our lives can be subject to statistical analysis, Teach Yourself Statistics is a lively and straightforward introduction that will show you how to interpret, analyse and present figures. Assuming minimal knowledge of maths and using examples from a wide variety of everyday contexts, this book makes often complex concepts and techniques easy to get to grips with. This new edition has been fully updated to include a brand new chapter on ICT. Whether you want to understand the statistics that you are bombarded with every day or are a student or professional coming to statistics from a wide range of disciplines, Teach Yourself Statistics uncovers all.

The Signal and the Noise

Why So Many Predictions Fail, But Some Don't

Author: Nate Silver

Publisher: Penguin

ISBN: 0143125087

Category: Business & Economics

Page: 534

View: 6551

The founder of FiveThirtyEight.com challenges myths about predictions in subjects ranging from the financial market and weather to sports and politics, profiling the world of prediction to explain how readers can distinguish true signals from hype, in a report that also reveals the sources and societal costs of wrongful predictions.

Understanding Advanced Statistical Methods

Author: Peter Westfall,Kevin S. S. Henning

Publisher: CRC Press

ISBN: 1466512105

Category: Mathematics

Page: 569

View: 5789

Providing a much-needed bridge between elementary statistics courses and advanced research methods courses, Understanding Advanced Statistical Methods helps students grasp the fundamental assumptions and machinery behind sophisticated statistical topics, such as logistic regression, maximum likelihood, bootstrapping, nonparametrics, and Bayesian methods. The book teaches students how to properly model, think critically, and design their own studies to avoid common errors. It leads them to think differently not only about math and statistics but also about general research and the scientific method. With a focus on statistical models as producers of data, the book enables students to more easily understand the machinery of advanced statistics. It also downplays the "population" interpretation of statistical models and presents Bayesian methods before frequentist ones. Requiring no prior calculus experience, the text employs a "just-in-time" approach that introduces mathematical topics, including calculus, where needed. Formulas throughout the text are used to explain why calculus and probability are essential in statistical modeling. The authors also intuitively explain the theory and logic behind real data analysis, incorporating a range of application examples from the social, economic, biological, medical, physical, and engineering sciences. Enabling your students to answer the why behind statistical methods, this text teaches them how to successfully draw conclusions when the premises are flawed. It empowers them to use advanced statistical methods with confidence and develop their own statistical recipes. Ancillary materials are available on the book’s website.

Statistics

An Introduction

Author: Alan Graham

Publisher: Teach Yourself

ISBN: 9781473652002

Category: Mathematics

Page: 320

View: 4994

Do you need to gain confidence with handling numbers and formulas? Do you want a clear, step-by-step guide to the key concepts and principles of statistics? Whether you want to understand the statistics that you are bombarded with every day or are a student or professional coming to statistics from a wide range of disciplines, Statistics: An Introduction covers it all.

The Manga Guide to Statistics

Author: Shin Takahashi

Publisher: N.A

ISBN: 9781439587966

Category: Comics & Graphic Novels

Page: 215

View: 3548

The Manga Guide to Statistics capitalizes on the international manga phenomenon. This first in a series of EduManga titles from No Starch Press (co-published with Ohmsha, Ltd. of Japan), The Manga Guide to Statistics uses manga to introduce the reader to the world of statistics. Rather than learning from a dry textbook, readers follow the animated adventures of Rui and her teacher, Mamoru Yamamoto, as Rui interacts with a colorful cast of characters. The book consists of seven chapters, each containing a cartoon, text to supplement the cartoon, an exercise and answer section, and a summary. Readers learn about working with numerical and categorical data; probability; relationships between two variables; tests of independence; even how to perform calculations in Microsoft Excel. Other titles in the series will cover topics like databases, electricity, and physics.

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: 325

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.

Understand Statistics: Teach Yourself

Author: Alan Graham

Publisher: Teach Yourself

ISBN: 1444130994

Category: Mathematics

Page: 320

View: 2628

Do you want to better understand the statistics you hear everyday - and recognise if you're being misled? Here is a straightforward introduction to the principles of this vital field of mathematics. Assuming minimal knowledge and using examples from a wide variety of everyday contexts, this book makes even complex concepts and techniques easy to grasp. NOT GOT MUCH TIME? One, five and ten-minute introductions to key principles to get you started. AUTHOR INSIGHTS Lots of instant help with common problems and quick tips for success, based on the author's many years of experience. TEST YOURSELF Tests in the book and online to keep track of your progress. EXTEND YOUR KNOWLEDGE Extra online articles at www.teachyourself.com to give you a richer understanding of psychology. FIVE THINGS TO REMEMBER Quick refreshers to help you remember the key facts. TRY THIS Innovative exercises illustrate what you've learnt and how to use it.

Statistics - A Complete Introduction

Author: Alan Graham

Publisher: Teach Yourself

ISBN: 9781444191172

Category: Mathematics

Page: 368

View: 7272

Statistics: A Complete Introduction is the most comprehensive yet easy-to-use introduction to using Statistics. Written by a leading expert, this book will help you if you are studying for an important exam or essay, or if you simply want to improve your knowledge. The book covers all the key areas of Statistics including graphs, data interpretation, spreadsheets, regression, correlation and probability. Everything you will need is here in this one book. Each chapter includes not only an explanation of the knowledge and skills you need, but also worked examples and test questions.

Statistics: An Introduction: Teach Yourself

Author: Alan Graham

Publisher: Teach Yourself

ISBN: 1473652014

Category: Mathematics

Page: 320

View: 6746

Do you need to gain confidence with handling numbers and formulae? Do you want a clear, step-by-step guide to the key concepts and principles of statistics? Nearly all aspects of our lives can be subject to statistical analysis. Statistics: An Introduction shows you how to interpret, analyze and present figures. Assuming minimal knowledge of maths and using examples from a wide variety of everyday contexts, this book makes often complex concepts and techniques easy to get to grips with. This new edition has been fully updated. Whether you want to understand the statistics that you are bombarded with every day or are a student or professional coming to statistics from a wide range of disciplines, Statistics: An Introduction covers it all.

Teach Yourself VISUALLY WordPress

Author: Janet Majure

Publisher: John Wiley & Sons

ISBN: 1118240642

Category: Computers

Page: 320

View: 457

Get your blog up and running with the latest version of WordPress WordPress is one of the most popular, easy-to-use blogging platforms and allows you to create a dynamic and engaging blog, even if you have no programming skills or experience. Ideal for the visual learner, Teach Yourself VISUALLY WordPress, Second Edition introduces you to the exciting possibilities of the newest version of WordPress and helps you get started, step by step, with creating and setting up a WordPress site. Author and experienced WordPress user Janet Majure shares advice, insight, and best practices for taking full advantage of all that WordPress has to offer. Presents completely updated coverage of new mobile blogging solutions Shares advice on customizing sites through use of plug-ins and themes and custom site editing Details more advanced procedures for self-hosted bloggers, including buying a domain, getting a web host, and installing WordPress Demonstrates key points with examples from the author's own WordPress blogs Teach Yourself VISUALLY WordPress, Second Edition clears the air around any blog fog you may find yourself in and gets you started with creating your own dynamic WordPress blog today!

Trigonometry: A Complete Introduction

Author: Hugh Neill

Publisher: Teach Yourself

ISBN: 1473678501

Category: Mathematics

Page: 208

View: 391

Trigonometry: A Complete Introduction is the most comprehensive yet easy-to-use introduction to Trigonometry. Written by a leading expert, this book will help you if you are studying for an important exam or essay, or if you simply want to improve your knowledge. The book covers all areas of trigonometry including the theory and equations of tangent, sine and cosine, using trigonometry in three dimensions and for angles of any magnitude, and applications of trigonometry including radians, ratio, compound angles and circles related to triangles. Everything you will need is here in this one book. Each chapter includes not only an explanation of the knowledge and skills you need, but also worked examples and test questions.

Artificial intelligence and statistics

Author: William A. Gale,AT & T Bell Laboratories

Publisher: Addison-Wesley

ISBN: N.A

Category: Computers

Page: 418

View: 9557

A statistical view of uncertainty in expert systems. Knowledge, decision making, and uncertainty. Conceptual clustering and its relation to numerical taxonomy. Learning rates in supervised and unsupervised intelligent systems. Pinpoint good hypotheses with heuristics. Artificial intelligence approaches in statistics. REX review. Representing statistical computations: toward a deeper understanding. Student phase 1: a report on work in progress. Representing statistical knowledge for expert data analysis systems. Environments for supporting statistical strategy. Use of psychometric tools for knowledge acquisition: a case study. The analysis phase in development of knowledge based systems. Implementation and study of statistical strategy. Patterns in statisticalstrategy. A DIY guide to statistical strategy. An alphabet for statistician's expert systems.

Economics: A Complete Introduction

Author: Thomas Coskeran

Publisher: Teach Yourself

ISBN: 9781444144420

Category: Education

Page: 352

View: 5531

Economics is a huge subject, and this book is the perfect place to start. Designed specially for undergraduates, it includes features such as questions that may come up in exams, quotes from leading theorists that you can use in your essays, and case studies providing real-life examples. The book is written by Dr. Thomas Coskeran, a lecturer at Durham University School of Business, who has been an advisor to both HM Treasury and the NHS. This really is the only book you need to start getting great results in economics.

Think Stats

Author: Allen B. Downey

Publisher: "O'Reilly Media, Inc."

ISBN: 1491907371

Category: Computers

Page: 226

View: 7009

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. By working with a single case study throughout this thoroughly revised book, you’ll learn the entire process of exploratory data analysis—from collecting data and generating statistics to identifying patterns and testing hypotheses. You’ll explore distributions, rules of probability, visualization, and many other tools and concepts. New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries. Develop an understanding of probability and statistics by writing and testing code Run experiments to test statistical behavior, such as generating samples from several distributions Use simulations to understand concepts that are hard to grasp mathematically Import data from most sources with Python, rather than rely on data that’s cleaned and formatted for statistics tools Use statistical inference to answer questions about real-world data

R in 24 Hours, Sams Teach Yourself

Author: Andy Nicholls,Richard Pugh,Aimee Gott

Publisher: Sams Publishing

ISBN: 9780672338489

Category:

Page: 400

View: 1867

With the open source R programming language and its immense library of packages, you can perform virtually any data analysis task. Now, in just 24 lessons of one hour or less, you can learn all the skills and techniques you'll need to import, manipulate, summarize, model, and plot data with R, formalize analytical code; and build powerful R packages using current best practices. Each short, easy lesson builds on all that's come before: you'll learn all of R's essentials as you create real R solutions. R in 24 hours, Sams Teach Yourself covers the entire data analysis workflow from the viewpoint of professionals whose code must be efficient, reproducible and suitable for sharing with others. You'll learn all this, and much more: Installing and configuring the R environment Creating single-mode and multi-mode data structures Working with dates, times, and factors Using common R functions, and writing your own Importing, exporting, manipulating, and transforming data Handling data more efficiently, and writing more efficient R code Plotting data with ggplot2 and Lattice graphics Building the most common types of R models Building high-quality packages, both simple and complex - complete with data and documentation Writing R classes: S3, S4, and beyond Using R to generate automated reports Building web applications with Shiny Step-by-step instructions walk you through common questions, issues, and tasks; Q-and-As, Quizzes, and Exercises build and test your knowledge; "Did You Know?" tips offer insider advice and shortcuts; and "Watch Out!" alerts help you avoid pitfalls. By the time you're finished, you'll be comfortable going beyond the book to solve a wide spectrum of analytical and statistical problems with R.

Complete Mathematics: Teach Yourself

Author: Trevor Hugh Neill

Publisher: Teach Yourself

ISBN: 1444130986

Category: Mathematics

Page: 336

View: 1287

Are you looking for a clear, accessible guide to mathematics that can help you brush up your skills and rediscover the key concepts and techniques? Complete Mathematics provides an invaluable, step-by-step introduction to the subject. Packed full of worked examples and useful exercises, it will guide you through the essentials quickly and easily, giving you the knowledge you need to gain maths confidence. NOT GOT MUCH TIME? One, five and ten-minute introductions to key principles to get you started. AUTHOR INSIGHTS Lots of instant help with common problems and quick tips for success, based on the author's many years of experience. TEST YOURSELF Tests in the book and online to keep track of your progress. EXTEND YOUR KNOWLEDGE Extra online articles at www.teachyourself.com to give you a richer understanding of psychology. FIVE THINGS TO REMEMBER Quick refreshers to help you remember the key facts. TRY THIS Innovative exercises illustrate what you've learnt and how to use it.