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Author: Bruce J. Chalmer Publisher: CRC Press ISBN: 1000715523 Category : Mathematics Languages : en Pages : 448
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.
Author: Michael H. Herzog Publisher: Springer ISBN: 3030034992 Category : Science Languages : en Pages : 146
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.
Author: Randall Schumacker Publisher: Springer Science & Business Media ISBN: 1461462274 Category : Computers Languages : en Pages : 292
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.
Author: David Mort Publisher: Psychology Press ISBN: 9780851424590 Category : Business information services Languages : en Pages : 184
Users of published statistics and market data are faced with a confusing array of terminology, definitions, and concepts when trying to understand and analyse this data. This book is an easy-to-use guide to these terms, definitions, and concepts with brief explanations in each subject area.
Author: Kicab Castaneda-Mendez Publisher: CRC Press ISBN: 1498727468 Category : Business & Economics Languages : en Pages : 585
Addressing 30 statistical myths in the areas of data, estimation, measurement system analysis, capability, hypothesis testing, statistical inference, and control charts, this book explains how to understand statistics rather than how to do statistics. Every statistical myth listed in this book has been stated in course materials used by the author
Author: Robert Andrews Publisher: eBookIt.com ISBN: 145660323X Category : Business & Economics Languages : en Pages : 148
This book has successfully taught introductory statistics to non-mathematicians who had previously failed two semester of statistics or had completed the courses with no idea of what they had done. It uses a statistical decision model that is easy to understand and apply. Each chapter leads the student through one stats test using Minitab. The book helps the student understand which stat to use and what the results mean to a business person.
Author: Jeffery T. Walker Publisher: Jones & Bartlett Publishers ISBN: 1449634036 Category : Law Languages : en Pages : 245
Designed for the introductory-level statistics course in criminology, criminal justice, sociology and related social sciences, this text is adapted from Walker's Statistics in Criminology and Criminal Justice, Third Edition. Understanding Statistics provides a solid overview of the subject by taking the basic elements from the chapters covering univariate, bivariate, and inferential statistics while retaining the foundational discussions and interpretations. The material is presented in a clear and easy-to-understand format and focuses on calculating the basic formulas in statistics yet preserves enough advanced material to prepare students for further study.Understanding Statistics boasts a variety of in-text study aids, such as key terms, equation summaries, exercises, end-of-chapter references, and suggested readings; as well as a collection of online study tools housed on the dedicated student companion website. The student-friendly presentation of the material coupled with the rich variety of student and instructor resources make Understanding Statistics the ideal introductory statistics text for undergraduate students!Every new printed copy is packaged with full student access to the student companion website featuring a a rich variety of study tools! (eBook version does not include access to the student companion website. Standalone access can be purchased here http://www.jblearning.com/catalog/9781449649234/)The latest version of SPSS 18.0 is available as a bundle.Instructor Resources:-Microsoft PowerPoint lecture slides-Instructor manual with answers to the exercises and pre-tests-Microsoft Excel and SPSS data sets-Test BankStudent Resources:-Microsoft and Excel SPSS data sets-Companion website featuring:*interactive flashcards*interactive glossary*mutliple choice questions*fill-in-the-blank questions*practice quiz (with answers)*pre-tests (with answers)*tests (with answers)*student data sets, in Excel and SPSS, that correlate to the chapter material*weblinks*suggested further reading
Author: Roger Bakeman Publisher: Psychology Press ISBN: 1135613141 Category : Education Languages : en Pages : 671
Understanding Statistics in the Behavioral Sciences is designed to help readers understand research reports, analyze data, and familiarize themselves with the conceptual underpinnings of statistical analyses used in behavioral science literature. The authors review statistics in a way that is intended to reduce anxiety for students who feel intimidated by statistics. Conceptual underpinnings and practical applications are stressed, whereas algebraic derivations and complex formulas are reduced. New ideas are presented in the context of a few recurring examples, which allows readers to focus more on the new statistical concepts than on the details of different studies. The authors' selection and organization of topics is slightly different from the ordinary introductory textbook. It is motivated by the needs of a behavioral science student, or someone in clinical practice, rather than by formal, mathematical properties. The book begins with hypothesis testing and then considers how hypothesis testing is used in conjunction with statistical designs and tests to answer research questions. In addition, this book treats analysis of variance as another application of multiple regression. With this integrated, unified approach, students simultaneously learn about multiple regression and how to analyze data associated with basic analysis of variance and covariance designs. Students confront fewer topics but those they do encounter possess considerable more power, generality, and practical importance. This integrated approach helps to simplify topics that often cause confusion. Understanding Statistics in the Behavioral Sciences features:*Computer-based exercises, many of which rely on spreadsheets, help the reader perform statistical analyses and compare and verify the results using either SPSS or SAS. These exercises also provide an opportunity to explore definitional formulas by altering raw data or terms within a formula and immediately see the consequences thus providing a deeper understanding of the basic concepts. *Key terms and symbols are boxed when first introduced and repeated in a glossary to make them easier to find at review time. *Numerous tables and graphs, including spreadsheet printouts and figures, help students visualize the most critical concepts. This book is intended as a text for introductory behavioral science statistics. It will appeal to instructors who want a relatively brief text. The book's active approach to learning, works well both in the classroom and for individual self-study.
Author: Robert Ho Publisher: CRC Press ISBN: 1351725238 Category : Mathematics Languages : en Pages : 280
Modern statistical software provides the ability to compute statistics in a timely, orderly fashion. This introductory statistics textbook presents clear explanations of basic statistical concepts and introduces students to the IBM SPSS program to demonstrate how to conduct statistical analyses via the popular point-and-click and the "syntax file" methods. The focal point is to show students how easy it is to analyse data using SPSS once they have learned the basics. Provides clear explanation of basic statistical concepts that provides the foundation for the beginner students’ statistical journey. Introduces the SPSS software program. Gives clear explanation of the purpose of specific statistical procedures (e.g., frequency distributions, measures of central tendencies, measures of variability, etc.). Avoids the conventional cookbook approach that contributes very little to students’ understanding of the rationale of how the correct results were obtained. The advantage of learning the IBM SPSS software package at the introductory class level is that most social sciences students will employ this program in their later years of study. This is because SPSS is one of the most popular of the many statistical packages currently available. Learning how to use this program at the very start not only familiarizes students with the utility of this program but also provides them with the experience to employ the program to conduct more complex analyses in their later years.