Statistics Alive!

Author: Wendy J. Steinberg

Publisher: SAGE

ISBN: 1412979501

Category: Mathematics

Page: 632

View: 6463

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Based on years of first-hand teaching experience, Wendy J. Steinberg has created Statistics Alive!, the most user-friendly statistics text for students in the social and behavioral sciences, now in its Second Edition. She believes that this audience can master basic statistics--especially the mechanics and the underlying logic of hypothesis testing--by employing a conceptual, modular approach without dumbing down the presentation. While this textbook includes must-have topics such as frequency distributions, hypothesis formation, and inferential statistics and bivariate regression, it also includes concepts of sampling error, significant differences, and Type 1 and Type 2 errors throughout. Also, effect size and power, often shortchanged in other textbooks, each get substantive treatment. Students are well prepared for a next course in statistics. Key Features The modular treatment allows students to master prescribed chunks of information before continuing to the next module. Mathematical proofs are minimized, in favor of verbal explanations. Strong pedagogy throughout includes a series of learning objectives and key terms in the beginning of each chapter to scaffold the student's learning The "Check Yourself!" questions throughout allow for student knows immediately whether or not he has mastered what he has just read. The logical similarity of all hypothesis tests is stressed, so that the student understands the meaning of the calculations, as well as which statistics apply to which designs. A final module provides both a narrative review and a visual flow-chart for matching statistics with designs. New to the Second Edition Twice as many chapter exercises Solutions provided to the student for half of the exercises A final module on multiple regression and the General Liner Model is included, as a bridge for students continuing on to a second course in statistics SPSS point-and-click instructions and screen shots of the output for all in-text examples, so that students can solve the exercises both manually and via software Descriptive dispersion solutions shown using both N and n-1 denominators, to accommodate any instructor's preference A more comprehensive Student Study Guide and Instructor Resource Guide A version bound with SPSS Student Version 18.0 is also available (ISBN: 978-1-4129-7951-1).
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Statistics Alive!

Author: Wendy J. Steinberg

Publisher: SAGE

ISBN: 1412956579

Category: Psychology

Page: 491

View: 9828

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Statistics need not be dull and dry! Presented in short, digestible modules and written in a conversational tone, with anecdotal stories and light-hearted humour, this text is an enjoyable read. Students are shown the underlying logic to what they're learning, and well-crafted practice and self-check features help ensure that that new knowledge sticks. Coverage of probability theory and mathematical proofs is minimized without sacrificing the rigour of the text, and more advanced concepts are introduced at the end of the book for instructors wishing to challenge students or use the text in a more advanced course. Key Features: - The Lay-flat Paperback Format makes doing assignments from the book easier for the student. - Text content is presented in Short Modules allowing students to digest subject matter in manageable chunks and allowing instructors more flexibility in the assignment of material. - Learning Objectives and Check Yourself! Questions provide guideposts that students can use to orient themselves and assess their readiness to move on and tackle new material. - Practice Exercises dispersed throughout the text, in the student study guide, and online provide students with ample opportunity to master concepts and formulae
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Student Study Guide to Accompany Statistics Alive! by Wendy J. Steinberg

Author: Wendy J. Steinberg

Publisher: SAGE

ISBN: 1412956587

Category: Mathematics

Page: 228

View: 2420

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This affordable student study guide and workbook to accompany Wendy Steinberg's Statistics Alive! text will help students get the added review and practice they need to improve their skills and master their Introduction to Statistics course. Each part of the study guide corresponds to the appropriate part in the textbook and includes the following: Part summaries Learning objectives Practice exercises (which consist of computation, true/false, short answer, and multiple-choice questions) Answers to odd-numbered questions (the answers to even-numbered questions are included on the Instructor's Resource CD-ROM) In Statistics Alive! Wendy J. Steinberg shows students the underlying logic to what they are learning and includes well-crafted practice and self-check features to help ensure that new knowledge sticks. She covers probability theory and mathematical proofs minimally without sacrificing the rigor of the overall text. This student study guide furthers student knowledge of statistics in a useful and enriching manner.
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Applied Statistics for Business and Management using Microsoft Excel

Author: Linda Herkenhoff,John Fogli

Publisher: Springer Science & Business Media

ISBN: 1461484235

Category: Computers

Page: 417

View: 5564

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Applied Business Statistics for Business and Management using Microsoft Excel is the first book to illustrate the capabilities of Microsoft Excel to teach applied statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical statistical problems in industry. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in statistics courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Applied Business Statistics for Business and Management capitalizes on these improvements by teaching students and practitioners how to apply Excel to statistical techniques necessary in their courses and workplace. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter with their solutions.
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Statistics for Evidence-Based Practice and Evaluation

Author: Allen Rubin

Publisher: Cengage Learning

ISBN: 0840029144

Category: Education

Page: 368

View: 7945

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Rubin's STATISTICS FOR EVIDENCE-BASED PRACTICE AND EVALUATION has a proven ability to reach students and get them excited about--and see the relevance of--a course they often find intimidating. Presented in an authoritative yet humorous style, this text--designed specifically for statistics and evaluation courses in the helping professions--features cases, exercises, and many examples to bring the topic of statistics alive for student readers. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
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Vital statistics - E-Book

An introduction to health science statistics

Author: Stephen McKenzie

Publisher: Elsevier Health Sciences

ISBN: 0729581497

Category: Medical

Page: 244

View: 6810

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Vital Statistics: an introduction to health science statistics e-book is a new Australian publication. This textbook draws on real world, health-related and local examples, with a broad appeal to the Health Sciences student. It demonstrates how an understanding of statistics is useful in the real world, as well as in statistics exams. Vital Statistics: an introduction to health science statistics e-book is a relatively easy-to-read book that will painlessly introduce or re-introduce you to the statistical basics before guiding you through more demanding statistical challenges. Written in recognition of Health Sciences courses which require knowledge of statistical literacy, this book guides the reader to an understanding of why, as well as how and when to use statistics. It explores: How data relates to information, and how information relates to knowledge How to use statistics to distinguish information from disinformation The importance of probability, in statistics and in life That inferential statistics allow us to infer from samples to populations, and how useful such inferences can be How to appropriately apply and interpret statistical measures of difference and association How qualitative and quantitative methods differ, and when it’s appropriate to use each The special statistical needs of the health sciences, and some especially health science relevant statistics The vital importance of computers in the statistical analysis of data, and gives an overview of the most commonly used analyses Real-life local examples of health statistics are presented, e.g. A study conducted at the Department of Obstetrics and Gynecology, University of Utah School of Medicine, explored whether there might be a systematic bias affecting the results of genetic specimen tests, which could affect their generalizability. Reader-friendly writing style t-tests/ ANOVA family of inferential statistics all use variants of the same basic formula Learning Objectives at the start of each chapter and Quick Reference Summaries at the end of each chapter provide the reader with a scope of the content within each chapter.
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Choice

Publication of the Association of College and Research Libraries, a Division of the American Library Association

Author: N.A

Publisher: N.A

ISBN: N.A

Category: Academic libraries

Page: N.A

View: 5665

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Applied Statistics: From Bivariate Through Multivariate Techniques

From Bivariate Through Multivariate Techniques

Author: Rebecca M. Warner

Publisher: SAGE

ISBN: 141299134X

Category: Mathematics

Page: 1172

View: 9728

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Rebecca M. Warner's Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked to think about the meaning of equations. Each chapter presents a complete empirical research example to illustrate the application of a specific method. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions.
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