Understandable Statistics: Concepts and Methods

Author: Charles Henry Brase,Corrinne Pellillo Brase

Publisher: Cengage Learning

ISBN: 1337119911

Category: Mathematics

Page: 839

View: 8494

UNDERSTANDABLE STATISTICS: CONCEPTS AND METHODS, Twelfth Edition, is a thorough yet accessible program designed to help you overcome any apprehensions you may have about statistics and to master the subject. The authors provide clear guidance and informal advice while showing you the links between statistics and the world. To reinforce this approach—and make the material interesting as well as easier to understand—the book integrates real-life data from a variety of sources, including journals, periodicals, newspapers, and the Internet. You'll also have opportunities to develop your critical-thinking and statistical literacy skills through special features and exercises throughout the text. The use of graphing calculators, Excel, Minitab, Minitab ExpressTM, and SPSS is covered, although not required. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Understandable Statistics: Concepts and Methods

Author: Charles Henry Brase,Corrinne Pellillo Brase

Publisher: Cengage Learning

ISBN: 133751750X

Category: Mathematics

Page: 839

View: 4075

UNDERSTANDABLE STATISTICS: CONCEPTS AND METHODS, Twelfth Edition, is a thorough yet accessible program designed to help you overcome any apprehensions you may have about statistics and to master the subject. The authors provide clear guidance and informal advice while showing you the links between statistics and the world. To reinforce this approach—and make the material interesting as well as easier to understand—the book integrates real-life data from a variety of sources, including journals, periodicals, newspapers, and the Internet. You'll also have opportunities to develop your critical-thinking and statistical literacy skills through special features and exercises throughout the text. The use of graphing calculators, Excel, Minitab, Minitab ExpressTM, and SPSS is covered, although not required. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Understandable Statistics

Author: Charles Henry Brase,Corrinne Pellillo Brase

Publisher: Cengage Learning

ISBN: 128546091X

Category: Mathematics

Page: 864

View: 3961

UNDERSTANDABLE STATISTICS: CONCEPTS AND METHODS, Eleventh Edition, is a thorough yet accessible program designed to help readers overcome their apprehensions about statistics. The authors provide clear guidance and informal advice while showing the links between statistics and the world. To reinforce this approach--and make the material interesting as well as easier to understand--the book integrates real-life data from a variety of sources, including journals, periodicals, newspapers, and the Internet. Readers also have opportunities to develop their critical-thinking and statistical literacy skills through special features and exercises throughout the text. The use of graphing calculators, Excel, MINITAB, and SPSS is covered for those who wish to learn about these helpful tools. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Understandable Statistics, Enhanced Edition

Author: Charles Henry Brase,Corrinne Pellillo Brase

Publisher: Cengage Learning

ISBN: 1439047790

Category: Mathematics

Page: 816

View: 3285

UNDERSTANDABLE STATISTICS is a thorough, yet accessible program designed to help students overcome their apprehensions about statistics. The authors provide guidance and informal advice, while showing students the links between statistics and the world. To reinforce this approach, the book integrates real-life data from a variety of sources including journals, periodicals, newspapers, and the Internet. The Ninth Edition addresses the growing importance of developing students' critical thinking and statistical literacy skills through the introduction of new features and exercises throughout the text. Extensive technology resources include a new algorithmic test bank and lecture slides, along with a market-leading DVD series and other resources designed to provide reinforcement for students and support for instructors. The use of graphing calculators, Excel, Minitab, and SPSS is covered though not required. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Understandable Statistics: Concepts and Methods, Enhanced

Author: Charles Henry Brase,Corrinne Pellillo Brase

Publisher: Cengage Learning

ISBN: 1305901479

Category: Mathematics

Page: 864

View: 9971

UNDERSTANDABLE STATISTICS: CONCEPTS AND METHODS, Eleventh Edition, is a thorough yet accessible program designed to help you overcome any apprehensions you may have about statistics. The authors provide clear guidance and informal advice while showing you the links between statistics and the world. To reinforce this approach--and make the material interesting as well as easier to understand--the book integrates real-life data from a variety of sources, including journals, periodicals, newspapers, and the Internet. You'll also have opportunities to develop your critical-thinking and statistical literacy skills through special features and exercises throughout the text. Interactive online resources offer you extra study assistance and tutorial support--including step-by-step video solutions--outside of class. The use of graphing calculators, Excel, MINITAB, and SPSS is covered although not required. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Understanding Basic Statistics

Author: Charles Henry Brase,Corrinne Pellillo Brase

Publisher: Cengage Learning

ISBN: 1305548892

Category: Mathematics

Page: 672

View: 3453

Help students overcome their apprehension about statistics with Brase and Brase's UNDERSTANDING BASIC STATISTICS. A condensed and more streamlined version of the same authors' bestselling UNDERSTANDABLE STATISTICS, Eleventh Edition, this book offers instructors an effective way to teach the essentials of statistics, including early coverage of regression, within a more limited time frame. Thorough yet abbreviated and offering an accessible exposition, the text helps students realize the real-world significance of statistics. The Seventh Edition addresses the growing importance of developing students' critical thinking and statistical literacy skills with critical thinking features and new exercises throughout the text. The use of the graphing calculator, Microsoft Excel, MINITAB, and SPSS is covered but not required. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Understanding Statistics

Author: Graham Upton,Ian Cook

Publisher: Oxford University Press

ISBN: 9780199143917

Category: Juvenile Nonfiction

Page: 657

View: 5426

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 The New Statistics

Effect Sizes, Confidence Intervals, and Meta-Analysis

Author: Geoff Cumming

Publisher: Routledge

ISBN: 1136659188

Category: Psychology

Page: 536

View: 3309

This is the first book to introduce the new statistics - effect sizes, confidence intervals, and meta-analysis - in an accessible way. It is chock full of practical examples and tips on how to analyze and report research results using these techniques. The book is invaluable to readers interested in meeting the new APA Publication Manual guidelines by adopting the new statistics - which are more informative than null hypothesis significance testing, and becoming widely used in many disciplines. Accompanying the book is the Exploratory Software for Confidence Intervals (ESCI) package, free software that runs under Excel and is accessible at www.thenewstatistics.com. The book’s exercises use ESCI's simulations, which are highly visual and interactive, to engage users and encourage exploration. Working with the simulations strengthens understanding of key statistical ideas. There are also many examples, and detailed guidance to show readers how to analyze their own data using the new statistics, and practical strategies for interpreting the results. A particular strength of the book is its explanation of meta-analysis, using simple diagrams and examples. Understanding meta-analysis is increasingly important, even at undergraduate levels, because medicine, psychology and many other disciplines now use meta-analysis to assemble the evidence needed for evidence-based practice. The book’s pedagogical program, built on cognitive science principles, reinforces learning: Boxes provide "evidence-based" advice on the most effective statistical techniques. Numerous examples reinforce learning, and show that many disciplines are using the new statistics. Graphs are tied in with ESCI to make important concepts vividly clear and memorable. Opening overviews and end of chapter take-home messages summarize key points. Exercises encourage exploration, deep understanding, and practical applications. This highly accessible book is intended as the core text for any course that emphasizes the new statistics, or as a supplementary text for graduate and/or advanced undergraduate courses in statistics and research methods in departments of psychology, education, human development , nursing, and natural, social, and life sciences. Researchers and practitioners interested in understanding the new statistics, and future published research, will also appreciate this book. A basic familiarity with introductory statistics is assumed.

Understanding Basic Statistics, Enhanced

Author: Charles Henry Brase,Corrinne Pellillo Brase

Publisher: Cengage Learning

ISBN: 1305873491

Category: Mathematics

Page: 640

View: 3323

Help students overcome their apprehension about statistics with Brase and Brase's UNDERSTANDING BASIC STATISTICS. A condensed and more streamlined version of the same authors' bestselling UNDERSTANDABLE STATISTICS, Eleventh Edition, this book offers instructors an effective way to teach the essentials of statistics, including early coverage of regression, within a more limited time frame. Thorough yet abbreviated and offering an accessible exposition, the text helps students realize the real-world significance of statistics. The Seventh Edition addresses the growing importance of developing students' critical thinking and statistical literacy skills with critical thinking features and new exercises throughout the text. The use of the graphing calculator, Microsoft Excel, MINITAB, and SPSS is covered but not required. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Understanding Statistics in the Behavioral Sciences

Author: Robert Pagano

Publisher: Cengage Learning

ISBN: 1111837260

Category: Mathematics

Page: 672

View: 2173

Based on over 30 years of successful teaching experience in this course, Robert Pagano’s introductory text takes an intuitive, concepts-based approach to descriptive and inferential statistics. He uses the sign test to introduce inferential statistics, empirically derived sampling distributions, many visual aids, and lots of interesting examples to promote student understanding. One of the hallmarks of this text is the positive feedback from students -- even students who are not mathematically inclined praise the text for its clarity, detailed presentation, and use of humor to help make concepts accessible and memorable. Thorough explanations precede the introduction of every formula, and the exercises that immediately follow include a step-by-step model that lets students compare their work against fully solved examples. This combination makes the text perfect for students taking their first statistics course in psychology or other social and behavioral sciences. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Understandable Statistics, Enhanced

Author: CTI Reviews

Publisher: Cram101 Textbook Reviews

ISBN: 1467270962

Category: Education

Page: 63

View: 6387

Facts101 is your complete guide to Understandable Statistics, Enhanced. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.

Student Solutions Manual for Brase/Brase's Understandable Statistics

Author: Charles Henry Brase,Corrinne Pellillo Brase

Publisher: Cengage Learning

ISBN: 9781337288750

Category: Mathematics

Page: N.A

View: 4163

Want to be sure that your answers are correct and that you took the correct steps to arrive at them? This manual contains fully worked-out solutions for all odd-numbered exercises in the text, so you can check your answers and understand how to solve even the toughest problems.

Applying Contemporary Statistical Techniques

Author: Rand R. Wilcox

Publisher: Gulf Professional Publishing

ISBN: 9780127515410

Category: Mathematics

Page: 608

View: 7822

Applying Contemporary Statistical Techniques explains why traditional statistical methods are often inadequate or outdated when applied to modern problems. Wilcox demonstrates how new and more powerful techniques address these problems far more effectively, making these modern robust methods understandable, practical, and easily accessible. * Assumes no previous training in statistics * Explains how and why modern statistical methods provide more accurate results than conventional methods * Covers the latest developments on multiple comparisons * Includes recent advances in risk-based methods * Features many illustrations and examples using data from real studies * Describes and illustrates easy-to-use s-plus functions for applying cutting-edge techniques * Covers many contemporary ANOVA (analysis of variance) and regression methods not found in other books

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: 8368

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.

Fundamental Statistical Principles for the Neurobiologist

A Survival Guide

Author: Stephen W. Scheff

Publisher: Academic Press

ISBN: 0128050519

Category: Science

Page: 234

View: 3000

Fundamental Statistical Principles for Neurobiologists introduces readers to basic experimental design and statistical thinking in a comprehensive, relevant manner. This book is an introductory statistics book that covers fundamental principles written by a neuroscientist who understands the plight of the neuroscience graduate student and the senior investigator. It summarizes the fundamental concepts associated with statistical analysis that are useful for the neuroscientist, and provides understanding of a particular test in language that is more understandable to this specific audience, with the overall purpose of explaining which statistical technique should be used in which situation. Different types of data are discussed such as how to formulate a research hypothesis, the primary types of statistical errors and statistical power, followed by how to actually graph data and what kinds of mistakes to avoid. Chapters discuss variance, standard deviation, standard error, mean, confidence intervals, correlation, regression, parametric vs. nonparametric statistical tests, ANOVA, and post hoc analyses. Finally, there is a discussion on how to deal with data points that appear to be "outliers" and what to do when there is missing data, an issue that has not sufficiently been covered in literature. An introductory guide to statistics aimed specifically at the neuroscience audience Contains numerous examples with actual data that is used in the analysis Gives the investigators a starting pointing for evaluating data in easy-to-understand language Explains in detail many different statistical tests commonly used by neuroscientists

Multiple Testing Problems in Pharmaceutical Statistics

Author: Alex Dmitrienko,Ajit C. Tamhane,Frank Bretz

Publisher: CRC Press

ISBN: 9781584889854

Category: Mathematics

Page: 320

View: 1847

Useful Statistical Approaches for Addressing Multiplicity Issues Includes practical examples from recent trials Bringing together leading statisticians, scientists, and clinicians from the pharmaceutical industry, academia, and regulatory agencies, Multiple Testing Problems in Pharmaceutical Statistics explores the rapidly growing area of multiple comparison research with an emphasis on pharmaceutical applications. In each chapter, the expert contributors describe important multiplicity problems encountered in pre-clinical and clinical trial settings. The book begins with a broad introduction from a regulatory perspective to different types of multiplicity problems that commonly arise in confirmatory controlled clinical trials, before giving an overview of the concepts, principles, and procedures of multiple testing. It then presents statistical methods for analyzing clinical dose response studies that compare several dose levels with a control as well as statistical methods for analyzing multiple endpoints in clinical trials. After covering gatekeeping procedures for testing hierarchically ordered hypotheses, the book discusses statistical approaches for the design and analysis of adaptive designs and related confirmatory hypothesis testing problems. The final chapter focuses on the design of pharmacogenomic studies based on established statistical principles. It also describes the analysis of data collected in these studies, taking into account the numerous multiplicity issues that occur. This volume explains how to solve critical issues in multiple testing encountered in pre-clinical and clinical trial applications. It presents the necessary statistical methodology, along with examples and software code to show how to use the methods in practice.