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Introductory Statistics Global Edition

Author: Neil A. Weiss
Publisher: Pearson Higher Ed
ISBN: 1292099739
Size: 39.27 MB
Format: PDF, Mobi
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Statistically Significant Weiss’s Introductory Statistics, Tenth Edition, is the ideal textbook for introductory statistics classes that emphasize statistical reasoning and critical thinking. Comprehensive in its coverage, Weiss’s meticulous style offers careful, detailed explanations to ease the learning process. With more than 1,000 data sets and over 3,000 exercises, this text takes a data-driven approach that encourages students to apply their knowledge and develop statistical understanding. This text contains parallel presentation of critical-value and p-value approaches to hypothesis testing. This unique design allows the flexibility to concentrate on one approach or the opportunity for greater depth in comparing the two. MyStatLab not included. Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. MyStatLab is an online homework, tutorial, and assessment product designed to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts.

Statistics Global Edition

Author: James T. McClave
Publisher: Pearson Higher Ed
ISBN: 1292161566
Size: 54.78 MB
Format: PDF
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For courses in introductory statistics. A Contemporary Classic Classic, yet contemporary; theoretical, yet applied—McClave & Sincich’s Statistics gives you the best of both worlds. This text offers a trusted, comprehensive introduction to statistics that emphasizes inference and integrates real data throughout. The authors stress the development of statistical thinking, the assessment of credibility, and value of the inferences made from data. This new edition is extensively revised with an eye on clearer, more concise language throughout the text and in the exercises. Ideal for one- or two-semester courses in introductory statistics, this text assumes a mathematical background of basic algebra. Flexibility is built in for instructors who teach a more advanced course, with optional footnotes about calculus and the underlying theory. Pearson MyLab Statistics not included. Students, if Pearson MyLab Statistics is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. Pearson MyLab Statistics should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. Pearson MyLab Statistics is an online homework, tutorial, and assessment product designed to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts.

Statistics The Art And Science Of Learning From Data Global Edition

Author: Alan Agresti
Publisher: Pearson Higher Ed
ISBN: 1292164832
Size: 20.58 MB
Format: PDF, Docs
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For courses in introductory statistics. The Art and Science of Learning from Data Statistics: The Art and Science of Learning from Data, Fourth Edition, takes a conceptual approach, helping students understand what statistics is about and learning the right questions to ask when analyzing data, rather than just memorizing procedures. This book takes the ideas that have turned statistics into a central science in modern life and makes them accessible, without compromising the necessary rigor. Students will enjoy reading this book, and will stay engaged with its wide variety of real-world data in the examples and exercises. The authors believe that it’s important for students to learn and analyze both quantitative and categorical data. As a result, the text pays greater attention to the analysis of proportions than many other introductory statistics texts. Concepts are introduced first with categorical data, and then with quantitative data. MyStatLab™ not included. Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. MyStatLab is an online homework, tutorial, and assessment product designed to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts.

First Course In Statistics Global Edition

Author: James McClave
Publisher:
ISBN:
Size: 11.32 MB
Format: PDF, ePub
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For courses in introductory statistics. A Contemporary Classic Classic, yet contemporary; theoretical, yet applied--McClave & Sincich's A First Course in Statistics gives you the best of both worlds. This text offers a trusted, comprehensive introduction to statistics that emphasizes inference and integrates real data throughout. The authors stress the development of statistical thinking, the assessment of credibility, and value of the inferences made from data. This new edition is extensively revised with an eye on clearer, more concise language throughout the text and in the exercises.

Statistics Informed Decisions Using Data Global Edition

Author: Michael Sullivan
Publisher: Pearson Higher Ed
ISBN: 1292157135
Size: 22.86 MB
Format: PDF, ePub
View: 6546
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For courses in introductory statistics. Putting It Together Statistics: Informed Decisions Using Data, Fifth Edition, gives students the tools to see a bigger picture and make informed choices. As a current introductory statistics instructor, Mike Sullivan III presents a text that is filled with ideas and strategies that work in today’s classroom. His practical emphasis resonates with students and helps them see that statistics is connected, not only to individual concepts, but also with the world at large. MyStatLab™ not included. Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. MyStatLab from Pearson is the world’s leading online resource for teaching and learning statistics, integrating interactive homework, assessment, and media in a flexible, easy-to-use format. MyStatLab is a course management system that delivers improving results in helping individual students succeed. MyStatLab for this edition takes advantage of data analytics to add additional exercises to high usage chapters. New Technology Support Videos show the author demonstrating easy-to-follow steps to solve a problem in several different formats—by hand, TI-84, and StatCrunch™.

First Course In Statistics A Pearson New International Edition

Author: James T McClave
Publisher: Pearson Higher Ed
ISBN: 1292036818
Size: 43.58 MB
Format: PDF, ePub, Mobi
View: 2392
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Classic, yet contemporary. Theoretical, yet applied. McClave & Sincich’s Statistics: A First Course in Statistics gives you the best of both worlds. This text offers a trusted, comprehensive introduction to statistics that emphasizes inference and integrates real data throughout. The authors stress the development of statistical thinking, the assessment of credibility, and value of the inferences made from data. The Eleventh Edition infuses a new focus on ethics, which is critically important when working with statistical data. Chapter Summaries have a new, study-oriented design, helping students stay focused when preparing for exams. Data, exercises, technology support, and Statistics in Action cases are updated throughout the book. In addition, MyStatLab will have increased exercise coverage and two new banks of questions to draw from: Getting Ready for Stats and Conceptual Question Library. Ideal for one- or two-semester courses in introductory statistics, this text assumes a mathematical background of basic algebra. Flexibility is built in for instructors who teach a more advanced course, with optional footnotes about calculus and the underlying theory.

Business Statistics Global Edition

Author: David F. Groebner
Publisher:
ISBN: 9781292220383
Size: 52.78 MB
Format: PDF, Docs
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For 2-semester courses in Introductory Business Statistics. Gain an edge in today's workplace by applying statistical analysis skills to real-world decision-making. Business Statistics: A Decision Making Approach provides students with an introduction to business statistics and to the analysis skills and techniques needed to make successful real-world business decisions. Written for students of all mathematical skill levels, the authors present concepts in a systematic and ordered way, drawing from their own experience as educators and consultants. Rooted in the theme that data are the starting point, Business Statistics champions the need to use and understand different types of data and data sources to be effective decision makers. This new edition integrates Microsoft Excel throughout as a way to work with statistical concepts and give students a resource that can be used in both their academic and professional careers. Pearson MyLabTM Statistics not included. Students, if MyLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyLab should only be purchased when required by an instructor. Instructors, contact your Pearson rep for more information. MyLab is an online homework, tutorial, and assessment product designed to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts.

Elementary Statistics

Author: Ron Larson
Publisher:
ISBN: 9781292058610
Size: 58.35 MB
Format: PDF, ePub
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For algebra-based introductory statistics courses Statistics opens a window to the modern world, and this market-leading text makes it easy to understand Larson and Farber's Elementary Statistics: Picturing the World, Sixth Edition, provides stepped out instruction, real-life examples and exercises, and the use of technology to offer the most accessible approach. The authors carefully develop theory through strong pedagogy, and examples show how statistics is used to picture and describe the world. In keeping with the premise that students learn best by doing, it includes more than 210 examples and more than 2300 exercises, to make the concepts of statistics a part of students' everyday lives. Elementary Statistics: Picturing the World, Sixth Edition, presents a better teaching and learning experience-for you and your students. Here's how: *Personalized learning with MyStatLab(TM): the accompanying MyStatLab online course provides users with countless opportunities to practice, plus statistics-specific resources and tools that enhance their experience and comprehension.*Stepped out instruction and guided student learning through an abundance of exercises build students' knowledge and skills in statistics.Included are visual descriptions, unique chapter overviews and summaries, clear learning objectives, boxed definitions and formulas, margin features, and more. *Real-life and interactive features present statistics at work in the real world and show how statistics is relevant to students' lives. *Examples and exercises tie the material to students' lives.

Introductory Statistics 9th Edition Neil A Weiss 2012

Author: Addison-Wesley Pearson, Inc
Publisher: Bukupedia
ISBN:
Size: 37.86 MB
Format: PDF, ePub, Mobi
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Neil A. Weiss received his Ph.D. from UCLA and subsequently accepted an assistant professor position at Arizona State University (ASU), where he was ultimately promoted to the rank of full professor. Dr. Weiss has taught statistics, probability, and mathematics—from the freshman level to the advanced graduate level—for more than 30 years. In recognition of his excellence in teaching, he received the Dean’s Quality Teaching Award from the ASU College of Liberal Arts and Sciences. Dr. Weiss’s comprehensive knowledge and experience ensures that his texts are mathematically and statistically accurate, as well as pedagogically sound. In addition to his numerous research publications, Dr. Weiss is the author of A Course in Probability (Addison-Wesley, 2006). He has also authored or coauthored books in finite mathematics, statistics, and real analysis, and is currently working on a new book on applied regression analysis and the analysis of variance. His texts— well known for their precision, readability, and pedagogical excellence—are used worldwide. Dr. Weiss is a pioneer of the integration of statistical software into textbooks and the classroom, first providing such integration in the book Introductory Statistics (Addison-Wesley, 1982).Weiss and Addison-Wesley continue that pioneering spirit to this day with the inclusion of some of the most comprehensive Web sites in the field. In his spare time, Dr. Weiss enjoys walking, studying and practicing meditation, and playing hold’em poker. He is married and has two sons. Using and understanding statistics and statistical procedures have become required skills in virtually every profession and academic discipline. The purpose of this book is to help students master basic statistical concepts and techniques and to provide reallife opportunities for applying them. Audience and Approach Introductory Statistics is intended for one- or two-semester courses or for quartersystem courses. Instructors can easily fit the text to the pace and depth they prefer. Introductory high school algebra is a sufficient prerequisite. Although mathematically and statistically sound (the author has also written books at the senior and graduate levels), the approach does not require students to examine complex concepts. Rather, the material is presented in a natural and intuitive way. Simply stated, students will find this book’s presentation of introductory statistics easy to understand. About This Book Introductory Statistics presents the fundamentals of statistics, featuring data production and data analysis. Data exploration is emphasized as an integral prelude to inference. This edition of Introductory Statistics continues the book’s tradition of being on the cutting edge of statistical pedagogy, technology, and data analysis. It includes hundreds of new and updated exercises with real data from journals, magazines, newspapers, and Web sites. The following Guidelines for Assessment and Instruction in Statistics Education (GAISE), funded and endorsed by the American Statistical Association are supported and adhered to in Introductory Statistics: [1] Emphasize statistical literacy and develop statistical thinking. [1] Use real data. [1] Stress conceptual understanding rather than mere knowledge of procedures. [1] Foster active learning in the classroom. [1] Use technology for developing conceptual understanding and analyzing data. [1] Use assessments to improve and evaluate student learning. Changes in the Ninth Edition The goal for this edition was to make the book even more flexible and user-friendly (especially in the treatment of hypothesis testing), to provide modern alternatives to some of the classic procedures, to expand the use of technology for developing understanding and analyzing data, and to refurbish the exercises. Several important revisions are as follows. New! New Case Studies. Fifty percent of the chapter-opening case studies have been replaced. New! New and Revised Exercises. This edition contains more than 2600 high-quality exercises, which far exceeds what is found in typical introductory statistics books. Over 25% of the exercises are new, updated, or modified. Wherever appropriate, routine exercises with simple data have been added to allow students to practice fundamentals. Revised! Reorganization of Introduction to Hypothesis Testing. The introduction to hypothesis testing, found in Chapter 9, has been reworked, reorganized, and streamlined. P-values are introduced much earlier. Users now have the option to omit the material on critical values or omit the material on P-values, although doing the latter would impact the use of technology. Revised! Revision of Organizing Data Material. The presentation of organizing data, found in Chapter 2, has been revised. The material on grouping and graphing qualitative data is now contained in one section and that for quantitative data in another section. In addition, the presentation and pedagogy in this chapter have been made consistent with the other chapters by providing step-by-step procedures for performing required statistical analyses. New! Density Curves. A brief discussion of density curves has been included at the beginning of Chapter 6, thus providing a presentation of continuous distributions corresponding to that given in Chapter 5 for discrete distributions. New! Plus-Four Confidence Intervals for Proportions. Plus-four confidence-interval procedures for one and two population proportions have been added, providing a more accurate alternative to the classic normal-approximation procedures. New! Chi-Square Homogeneity Test. A new section incorporates the chi-square homogeneity test, in addition to the existing chi-square goodness-of-fit test and chi-square independence test. Revised! Nonparametic Procedures. Some of the more difficult aspects of nonparametric tests have been clarified and expanded. Additional examples have been provided to solidify understanding. New! Course Management Notes. New course management notes (CMN) have been produced to aid instructors in designing their courses and preparing their syllabi. The CMN are located directly after the preface in the Instructor’s Edition of the book and can also be accessed from the Instructor Resource Center (IRC) located at www.pearsonhighered.com/irc. Note: See the Technology section of this preface for a discussion of technology additions, revisions, and improvements. Hallmark Features and Approach Chapter-Opening Features. Each chapter begins with a general description of the chapter, an explanation of how the chapter relates to the text as a whole, and a chapter outline. A classic or contemporary case study highlights the real-world relevance of the material. End-of-Chapter Features. Each chapter ends with features that are useful for review, summary, and further practice. [1] Chapter Reviews. Each chapter review includes chapter objectives, a list of key terms with page references, and review problems to help students review and study the chapter. Items related to optional materials are marked with asterisks, unless the entire chapter is optional. [1] Focusing on Data Analysis. This feature lets students work with large data sets, practice using technology, and discover the many methods of exploring and analyzing data. For details, see the Focusing on Data Analysis section on pages 30–31 of Chapter 1. [1] Case Study Discussion. At the end of each chapter, the chapter-opening case study is reviewed and discussed in light of the chapter’s major points, and then problems are presented for students to solve. [1] Biographical Sketches. Each chapter ends with a brief biography of a famous statistician. Besides being of general interest, these biographies teach students about the development of the science of statistics. Formula/Table Card. The book’s detachable formula/table card (FTC) contains all the formulas and many of the tables that appear in the text. The FTC is helpful for quick-reference purposes; many instructors also find it convenient for use with examinations. Procedure Boxes and Procedure Index. To help students learn statistical procedures, easy-to-follow, step-by-step methods for carrying them out have been developed. Each step is highlighted and presented again within the illustrating example. This approach shows how the procedure is applied and helps students master its steps. A Procedure Index (located near the front of the book) provides a quick and easy way to find the right procedure for performing any statistical analysis. WeissStats CD. This PC- and Mac-compatible CD, included with every new copy of the book, contains a wealth of resources. Its ReadMe file presents a complete contents list. The contents in brief are presented at the end of the text Contents. ASA/MAA–Guidelines Compliant. Introductory Statistics follows American Statistical Association (ASA) and Mathematical Association of America (MAA) guidelines, which stress the interpretation of statistical results, the contemporary applications of statistics, and the importance of critical thinking. Populations, Variables, and Data. Through the book’s consistent and proper use of the terms population, variable, and data, statistical concepts are made clearer and more unified. This strategy is essential for the proper understanding of statistics. Data Analysis and Exploration. Data analysis is emphasized, both for exploratory purposes and to check assumptions required for inference. Recognizing that not all readers have access to technology, the book provides ample opportunity to analyze and explore data without the use of a computer or statistical calculator. Parallel Critical-Value/P-Value Approaches. Through a parallel presentation, the book offers complete flexibility in the coverage of the critical-value and P-value approaches to hypothesis testing. Instructors can concentrate on either approach, or they can cover and compare both approaches. The dual procedures, which provide both the critical-value and P-value approaches to a hypothesis-testing method, are combined in a side-by-side, easy-to-use format. Interpretations. This feature presents the meaning and significance of statistical results in everyday language and highlights the importance of interpreting answers and results. Interpretation You Try It! This feature, which follows most examples, allows students to immediately check their understanding by asking them to work a similar exercise.

Using R For Introductory Statistics Second Edition

Author: John Verzani
Publisher: CRC Press
ISBN: 1466590734
Size: 18.57 MB
Format: PDF, Mobi
View: 7505
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The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version. See What’s New in the Second Edition: Increased emphasis on more idiomatic R provides a grounding in the functionality of base R. Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible. Use of knitr package makes code easier to read and therefore easier to reason about. Additional information on computer-intensive approaches motivates the traditional approach. Updated examples and data make the information current and topical. The book has an accompanying package, UsingR, available from CRAN, R’s repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text. The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.