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Understanding Statistics

Understanding Statistics PDF Author: Graham Upton
Publisher: Oxford University Press
ISBN: 9780199143917
Category : Juvenile Nonfiction
Languages : en
Pages : 680

Book Description
Covers topics in statistics required for A-Level Mathematics.

Understanding Statistics

Understanding Statistics PDF Author: Graham Upton
Publisher: Oxford University Press
ISBN: 9780199143917
Category : Juvenile Nonfiction
Languages : en
Pages : 680

Book Description
Covers topics in statistics required for A-Level Mathematics.

Understanding Statistics

Understanding Statistics PDF Author: Daniel B. Wright
Publisher: SAGE
ISBN: 9781446239681
Category : Social Science
Languages : en
Pages : 244

Book Description
In this comprehensive introduction to using statistics in the social sciences, Daniel B Wright describes the most popular statistical techniques, explaining their basic principles and demonstrating their use in a wide range of social research. The book is divided into four sections. Part One explains the theoretical relationship between statistics and research, outlining the place of statistics in the research process and introducing hypothesis testing. In Part Two the two "t"-tests are described in detail. This serves as a foundation for the rest of the book and develops skills that are called upon in later chapters. Part Three outlines the three main families of statistical tests - regression, analysis of variance, and two-variable tests. Finally, Part Four offers a guide to more advanced techniques.

Understanding Statistics and Experimental Design

Understanding Statistics and Experimental Design PDF Author: Michael H. Herzog
Publisher: Springer
ISBN: 3030034992
Category : Science
Languages : en
Pages : 146

Book Description
This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.

Understanding Statistics

Understanding Statistics PDF Author: Antony Davies
Publisher: Cato Institute
ISBN: 1944424369
Category : Business & Economics
Languages : en
Pages : 152

Book Description
The modern world is brimming with statistical information—information relevant to our personal health and safety, the weather, or the robustness of the national or global economy, to name just a few examples. But don’t statistics lie? Well, no—people lie, and sometimes they use statistical language to do it. Knowing when you’re being hoodwinked requires a degree of statistical literacy, but most people don’t learn how to interpret statistical claims unless they take a formal course that trains them in the mathematical techniques of statistical analysis. This book won’t turn you into a statistician—that would require a much longer and more technical discussion—but it will give you the tools to understand statistical claims and avoid common pitfalls associated with translating statistical information from the language of mathematics to plain English.

Understanding Statistics Using R

Understanding Statistics Using R PDF Author: Randall Schumacker
Publisher: Springer Science & Business Media
ISBN: 1461462274
Category : Computers
Languages : en
Pages : 298

Book Description
This book was written to provide resource materials for teachers to use in their introductory or intermediate statistics class. The chapter content is ordered along the lines of many popular statistics books so it should be easy to supplement the content and exercises with class lecture materials. The book contains R script programs to demonstrate important topics and concepts covered in a statistics course, including probability, random sampling, population distribution types, role of the Central Limit Theorem, creation of sampling distributions for statistics, and more. The chapters contain T/F quizzes to test basic knowledge of the topics covered. In addition, the book chapters contain numerous exercises with answers or solutions to the exercises provided. The chapter exercises reinforce an understanding of the statistical concepts presented in the chapters. An instructor can select any of the supplemental materials to enhance lectures and/or provide additional coverage of concepts and topics in their statistics book.

Understanding Probability and Statistics

Understanding Probability and Statistics PDF Author: Ruma Falk
Publisher: A K Peters/CRC Press
ISBN:
Category : Mathematics
Languages : en
Pages : 264

Book Description


Understanding Statistics

Understanding Statistics PDF Author: Bruce J. Chalmer
Publisher: CRC Press
ISBN: 1000723348
Category : Mathematics
Languages : en
Pages : 456

Book Description
Introducing undergraduates to the vital concepts of statistics, this superb textbook allows instructors to include as much—or as little—mathematical detail as may be suitable for their students. Featuring Statpal statistical software for the IBM PC®, the book contains study questions that help solidify students’ understanding of the material and prepare them for the next group of concepts. Many of the exercises, labeled “Statpal exercises,” are especially written for the Statpal statistical package. Understanding Statistics begins with the basic concepts of statistical inference ... presents normal and binomial distributions, general techniques of interval estimation and hypothesis testing, and applications of these techniques to inferences about a single population mean and proportions ... and covers inferences about group differences, including parametric and nonparametric approaches to the two-group case, and the one-way ANOVA and its nonparametric analogue. In addition, this volume considers relationships between two variables, including the correlation co-efficient, Spearman’s rho, and Kendall’s tau ... surveys basic regression methods, including simple, multiple, and stepwise ... and discusses the analysis of variance of factorial designs, the concept of interaction, and the analysis of categorical data using the chi-square test. Complete with tables and drawings plus appendices that furnish instructions for using Statpal software, information on advanced topics, and much more, Understanding Statistics is an ideal text for undergraduate survey courses on statistical methods as well as for courses in economics, psychology, sociology, education, business administration, and others that require basic statistics.

Understanding Basic Statistics

Understanding Basic Statistics PDF Author: Charles Henry Brase
Publisher:
ISBN: 9780495831488
Category : Mathematical statistics
Languages : en
Pages : 592

Book Description
This title offers instructors an effective way to teach the essentials of statistics, including early coverage of Regression, within a more limited time frame.

Know Your Chances

Know Your Chances PDF Author: Steven Woloshin
Publisher: Univ of California Press
ISBN: 0520252225
Category : Medical
Languages : en
Pages : 154

Book Description
Understanding risk -- Putting risk in perspective -- Risk charts : a way to get perspective -- Judging the benefit of a health intervention -- Not all benefits are equal : understand the outcome -- Consider the downsides -- Do the benefits outweight the downsides? -- Beware of exaggerated importance -- Beware of exaggerated certainty -- Who's behind the numbers?

Understanding Statistics

Understanding Statistics PDF Author: Lyman Ott
Publisher: Duxbury Resource Center
ISBN:
Category : Statistics
Languages : en
Pages : 610

Book Description
Focuses on data and organization around the theme of TTmaking sense of data:TT generating, organizing, analyzing, and presenting data. The approach reflects modern thinking about the purpose of statistics as discipline concerned with problem solving in the real world. Consequently all aspects of the presentation revolve around the central content of applied statistics, which is making sense of data.