Reasoning With Statistics
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Reasoning With Statistics
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Author : Frederick Williams
language : en
Publisher: Holt McDougal
Release Date : 1979
Reasoning With Statistics written by Frederick Williams and has been published by Holt McDougal this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Mathematics categories.
Reasoning With Statistics
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Author : Frederick Williams
language : en
Publisher: Cengage Learning
Release Date : 2001
Reasoning With Statistics written by Frederick Williams and has been published by Cengage Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Business & Economics categories.
This text is designed to help students become knowledgable of quantitative research. It provides a view of research strategies for those students who may or may not have a mathemtaical background. There is a strong emphasis on conceptual understanding rather than calculational methods.
Reasoning With Data
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Author : Jeffrey M. Stanton
language : en
Publisher: Guilford Publications
Release Date : 2017-05-22
Reasoning With Data written by Jeffrey M. Stanton and has been published by Guilford Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-22 with Social Science categories.
Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both classical (frequentist) and Bayesian approaches to inference. Statistical techniques covered side by side from both frequentist and Bayesian approaches include hypothesis testing, replication, analysis of variance, calculation of effect sizes, regression, time series analysis, and more. Students also get a complete introduction to the open-source R programming language and its key packages. Throughout the text, simple commands in R demonstrate essential data analysis skills using real-data examples. The companion website provides annotated R code for the book's examples, in-class exercises, supplemental reading lists, and links to online videos, interactive materials, and other resources. ÿ Pedagogical Features *Playful, conversational style and gradual approach; suitable for students without strong math backgrounds. *End-of-chapter exercises based on real data supplied in the free R package. *Technical explanation and equation/output boxes. *Appendices on how to install R and work with the sample datasets.ÿ
Learning From Data
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Author : Arthur Glenberg
language : en
Publisher: Routledge
Release Date : 2007-08-09
Learning From Data written by Arthur Glenberg and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-09 with Education categories.
Learning from Data focuses on how to interpret psychological data and statistical results. The authors review the basics of statistical reasoning to helpstudents better understand relevant data that affecttheir everyday lives.Numerous examples based on current research and events are featured throughout.To facilitate learning, authors Glenberg and
Introduction To Social Statistics
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Author : Thomas Dietz
language : en
Publisher: John Wiley & Sons
Release Date : 2009-03-02
Introduction To Social Statistics written by Thomas Dietz and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-02 with Mathematics categories.
Introduction to Social Statistics is a basic statistics text with a focus on the use of models for thinking through statistical problems, an accessible and consistent structure with ongoing examples across chapters, and an emphasis on the tools most commonly used in contemporary research. Lively introductory textbook that uses three strategies to help students master statistics: use of models throughout; repetition with variation to underpin pedagogy; and emphasis on the tools most commonly used in contemporary research Demonstrates how more than one statistical method can be used to approach a research question Enhanced learning features include a ‘walk-through’ of statistical concepts, applications, features, advanced topics boxes, and a ‘What Have We Learned’ section at the end of each chapter Supported by a website containing instructor materials including chapter-by-chapter PowerPoint slides, answers to exercises, and an instructor guide Visit www.wiley.com/go/dietz for additional student and instructor resources.
Developing Students Statistical Reasoning
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Author : Joan Garfield
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-09-08
Developing Students Statistical Reasoning written by Joan Garfield and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-08 with Education categories.
Increased attention is being paid to the need for statistically educated citizens: statistics is now included in the K-12 mathematics curriculum, increasing numbers of students are taking courses in high school, and introductory statistics courses are required in college. However, increasing the amount of instruction is not sufficient to prepare statistically literate citizens. A major change is needed in how statistics is taught. To bring about this change, three dimensions of teacher knowledge need to be addressed: their knowledge of statistical content, their pedagogical knowledge, and their statistical-pedagogical knowledge, i.e., their specific knowledge about how to teach statistics. This book is written for mathematics and statistics educators and researchers. It summarizes the research and highlights the important concepts for teachers to emphasize, and shows the interrelationships among concepts. It makes specific suggestions regarding how to build classroom activities, integrate technological tools, and assess students’ learning. This is a unique book. While providing a wealth of examples through lessons and data sets, it is also the best attempt by members of our profession to integrate suggestions from research findings with statistics concepts and pedagogy. The book’s message about the importance of listening to research is loud and clear, as is its message about alternative ways of teaching statistics. This book will impact instructors, giving them pause to consider: "Is what I’m doing now really the best thing for my students? What could I do better?" J. Michael Shaughnessy, Professor, Dept of Mathematical Sciences, Portland State University, USA This is a much-needed text for linking research and practice in teaching statistics. The authors have provided a comprehensive overview of the current state-of-the-art in statistics education research. The insights they have gleaned from the literature should be tremendously helpful for those involved in teaching and researching introductory courses. Randall E. Groth, Assistant Professor of Mathematics Education, Salisbury University, USA
Statistical Reasoning In Sports
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Author : Josh Tabor
language : en
Publisher: Macmillan Higher Education
Release Date : 2019-01-28
Statistical Reasoning In Sports written by Josh Tabor and has been published by Macmillan Higher Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-28 with Mathematics categories.
Did Cam Newton choke in the Super Bowl? Can a swimsuit make you faster? Who should I draft for my fantasy baseball team? Offering a unique and powerful way to introduce the principles of statistical reasoning, Statistical Reasoning in Sports 2e make statistics exciting with high interest sports (and life) examples that show how statistics is a part of everyday life. Statistical Reasoning in Sports 2e examines fascinating questions about sports and life by investigating the underlying statistical questions and creating a fun atmosphere in the classroom in which students analyze data, perform simulations, and draw conclusions to develop an understanding of statistics.
Statistical Reasoning
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Author : Gary Smith
language : en
Publisher: Allyn & Bacon
Release Date : 1991-01-01
Statistical Reasoning written by Gary Smith and has been published by Allyn & Bacon this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991-01-01 with Probabilities categories.
Introduction To Statistical Reasoning
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Author : Gary Smith
language : en
Publisher: McGraw-Hill Science, Engineering & Mathematics
Release Date : 1998
Introduction To Statistical Reasoning written by Gary Smith and has been published by McGraw-Hill Science, Engineering & Mathematics this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Mathematics categories.
This text focuses on the analysis of data and the interpretation of results rather than the computational methods of statistics. Its examples are taken from a broad range of disciplines and screen shots from the more popular software packages are included to display data and graphics. Mathematical derivations are minimized, so encouraging the student to use a calculator or computer to perform the computations. Various technology options give the student a range of methods for performing the statistical computations. The section on uses and misuses of statistics shows how statistics are presented by graphs and charts.
Statistical Reasoning In Psychology And Education
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Author : Edward W. Minium
language : en
Publisher: Wiley
Release Date : 1993-01-26
Statistical Reasoning In Psychology And Education written by Edward W. Minium and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-01-26 with Psychology categories.
Develops statistical concepts, understanding of statistical logic, properties regarding statistical devices, assumptions underlying statistical tools and considers what happens when statistical theory meets real-world problems. Emphasizes the statistics of measurement and the interplay of statistics with experimental design, giving full treatment to both inferential and descriptive statistics. New to this edition are realistic examples and numerous original problems with data sets. Special boxed sections introduce students to controversial, topical and current issues such as the bootstrap, meta-analysis.