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Book is in NEW condition. 1.03

Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 1.03

Used book that is in clean, average condition without any missing pages.

Use a variety of different text from multiple genres to support close reading and comprehension in the classroom. Each passage is followed by literal, inferential, and applied questions to determine the readers comprehension of the material. The activities are designed to teach students to examine meaning thoroughly and analytically. Correlated to the Common Core State Standards.

Book is in NEW condition. 1.74

Use a variety of different text from multiple genres to support close reading and comprehension in the classroom. Each passage is followed by literal, inferential, and applied questions to determine the readers comprehension of the material. The activities are designed to teach students to examine meaning thoroughly and analytically. Correlated to the Common Core State Standards.

Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 0.55

Picking up where Elements of Statistics I leaves off, this study guide clearly explains discrete probability distribution, including normal, continuing, sampling, and other distributions. The practical, cross-referenced problems throughout are drawn from such fields as anthropology, biology, business, government, medecine, psychology and sociology, and the solutions are fully explained. A perfect supplement to the leading textbooks, students will also find this book ideal for independent study. Supplementary questions aid self-testing.

This 48-page book is a collection of our most popular quick, fun thinking puzzles. The wide variety of activities in each book develop reading comprehension, vocabulary, and mathematical reasoning as well as writing, spatial, and visual perceptual skills. They also build deductive, inductive (inferential), and creative thinking skills. The puzzles are perfect for school, home, and travel. They are very popular as brain-start, extra credit, sponge, or reward activities. Each book includes easy-to-follow directions and answers. Try one and you'll be hooked!

Simultaneous confidence bands enable more intuitive and detailed inference of regression analysis than the standard inferential methods of parameter estimation and hypothesis testing. Simultaneous Inference in Regression provides a thorough overview of the construction methods and applications of simultaneous confidence bands for various inferential purposes. It supplies examples and MATLAB® programs that make it easy to apply the methods to your own data analysis. The MATLAB programs, along with color figures, are available for download on www.personal.soton.ac.uk/wl/mybook.html Most of the book focuses on normal-error linear regression models. The author presents simultaneous confidence bands for a simple regression line, a multiple linear regression model, and polynomial regression models. He also uses simultaneous confidence bands to assess part of a multiple linear regression model with the zero function, to compare two regression models, and to evaluate more than two regression models. The final chapter demonstrates the use of simultaneous confidence bands in generalized linear regression models, such as logistic regression models. This book shows how to employ simultaneous confidence bands to make useful inferences in regression analysis. The topics discussed can be extended to functions other than parametric regression functions, offering novel opportunities for research beyond linear regression models.

This book takes an intuitive approach to presenting statistical theory. More conceptually than computationally oriented, the book covers both descriptive and inferential statistics. The narrative of the book develops concepts first using prose, explaining calculations in simple language before introducing the formulas. Pagano's informal writing style is received well by students, especially those who are not mathematically inclined.

Basic Statistics for Business and Economics, Ninth Edition provides an introductory survey of descriptive and inferential statistics, using clear and succinct writing. The authors use a step-by-step approach to ease students into statistics concepts, improving motivation and building mastery, with a focus on understanding the application of statistical methods in business and economics. The chapters in this edition have been reorganized to better match the corresponding learning objectives. Additionally, the goals of each section have been clarified for both instructors and students. A Data Analytics section has been added to the end of each chapter, with new and revised exercises, to develop students' data analytical skills. Students will learn to evaluate, summarize, organize, and analyze information. They also will learn to think critically, improving their ability to interpret and articulate their findings.Real-world exercises allow students to thoroughly understand how to apply each concept. Three data sets are used throughout the book, providing continuity as the exercises encourage students to build on what they have learned.Digital resources within Connect help students apply what they've learned and achieve higher outcomes in the course.Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, and how they need it, so that class time is more engaging and effective.

From the outset, this book has evoked strong responses. Its central claim is that given a comprehensive theory of inferential communication, there is no need for a special theory of translation. This has been praised by some as "wise and right" (Dell Hymes) and condemned by others as "astonishing, not to say perverse" (Kirsten Malmkjaer). Gutt's call to move from semiotics to an inferential paradigm of communication remains a challenge for many. The debate continues and so does the demand for the book, resulting in this second edition. There is a 'Postscript' entitled 'A decade later', where the author addresses peer criticism, especially from those involved in the movement of 'translation studies', and attempts to bring out more clearly the unique mandate of translation. New perspectives, such as authenticity, are also introduced. Marginal notes, some tongue-in-cheek, liven up the discussion and new references ensure its currency.

Basic Statistics for Business and Economics, Ninth Edition provides an introductory survey of descriptive and inferential statistics, using clear and succinct writing. The authors use a step-by-step approach to ease students into statistics concepts, improving motivation and building mastery, with a focus on understanding the application of statistical methods in business and economics. The chapters in this edition have been reorganized to better match the corresponding learning objectives. Additionally, the goals of each section have been clarified for both instructors and students. A Data Analytics section has been added to the end of each chapter, with new and revised exercises, to develop students' data analytical skills. Students will learn to evaluate, summarize, organize, and analyze information. They also will learn to think critically, improving their ability to interpret and articulate their findings.Real-world exercises allow students to thoroughly understand how to apply each concept. Three data sets are used throughout the book, providing continuity as the exercises encourage students to build on what they have learned.Digital resources within Connect help students apply what they've learned and achieve higher outcomes in the course.Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, and how they need it, so that class time is more engaging and effective.

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.

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 reader understanding. One of the hallmarks of this text is the positive feedback from users--even those 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 readers compare their work against fully solved examples. This combination makes the text perfect for anyone building their foundation of knowledge for analyzing statistics in psychology or other social and behavioral sciences.

· An overview of descriptive and inferential statistics without formulas and computations. · Clear and to-the-point narrative makes this short book perfect for all courses in which statistics are discussed. · Helps statistics students who are struggling with the concepts. Shows them the meanings of the statistics they are computing. · This book is easy to digest because it is divided into short sections with review questions at the end of each section. · Running sidebars draw students’ attention to important concepts

Many statistics texts lack well-defined connections among materials presented, as if the different topics were disjointed. In this new text, George Woodbury successfully illustrates the natural connections between probability and inferential statistics and between confidence intervals and hypothesis testing, for example. Throughout the text, the author provides explanations that are easy to follow and examples that are concept-based.

Written for people who want to learn or brush-up on the basics of statistics but question their abilities, this book offers a step-by-step introduction to the topic. The book begins with an introduction to the language of statistics and then covers descriptive statistics and inferential statistics. Throughout, the author offers readers: - Difficulty Rating Index for each chapter′s material - Tips for doing and thinking about a statistical technique - Top tens for everything from the best ways to create a graph to the most effective techniques for data collection - Steps that break techniques down into a clear sequence of procedures - SPSS tips for executing each major statistical technique - Practice exercises at the end of each chapter, followed by worked out solutions. The book concludes with a statistical software sampler and a description of the best Internet sites for statistical information and data resources. Readers also have access to a website for downloading data that they can use to practice additional exercises from the book. Students and researchers will appreciate the book′s unhurried pace and thorough, friendly presentation.

A thorough understanding of biology, no matter which subfield, requires a thorough understanding of statistics. As in previous editions, Havel and Hampton (with new co-author Scott Meiners) ground students in all essential methods of descriptive and inferential statistics, using examples from different biological sciences. The authors have retained the readable, accessible writing style popular with both students and instructors. Pedagogical improvements new to this edition include concept checks in all chapters to assist students in active learning and code samples showing how to solve many of the book's examples using R. Each chapter features numerous practice and homework exercises, with larger data sets available for download. Also by John Havel and available from Waveland Press: Laboratory Exercises for Freshwater Ecology (ISBN 9781478626794). Title of related interest available from Waveland Press: Glover-Mitchell, An Introduction to Biostatistics, Third Edition (ISBN 9781478627791). Not-for-sale instructor resource material available to college and university faculty only; contact publisher directly.