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Beyond the Numbers

Beyond the Numbers PDF Author: Rayens
Publisher:
ISBN: 9781617407581
Category :
Languages : en
Pages :

Book Description


Beyond the Numbers

Beyond the Numbers PDF Author: Rayens
Publisher:
ISBN: 9781617407581
Category :
Languages : en
Pages :

Book Description


Beyond the Numbers

Beyond the Numbers PDF Author: Rayens
Publisher:
ISBN: 9781617404801
Category :
Languages : en
Pages :

Book Description


Beyond the Numbers: a Student-Centered Approach for Learning Statistical Reasoning

Beyond the Numbers: a Student-Centered Approach for Learning Statistical Reasoning PDF Author: Rayens
Publisher:
ISBN: 9781617408144
Category :
Languages : en
Pages :

Book Description


Beyond the Numbers

Beyond the Numbers PDF Author: Edwin P. Christmann
Publisher: NSTA Press
ISBN: 1936959925
Category : Education
Languages : en
Pages : 226

Book Description
Statistics is required coursework within most teacher certification programs. Beyond the Numbers presents a nonthreatening, practical approach to statistics, providing step-by-step instructions for understanding and implementing the essential components of the subject.The basic and understandable explanations in Beyond the Numbers break down complex statistical processes to simple arithmetic computations that can be applied with the confidence that accompanies understanding.

Developing Students’ Statistical Reasoning

Developing Students’ Statistical Reasoning PDF Author: Joan Garfield
Publisher: Springer Science & Business Media
ISBN: 1402083831
Category : Education
Languages : en
Pages : 407

Book Description
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

Introductory Statistics: A Student-Centered Approach

Introductory Statistics: A Student-Centered Approach PDF Author: Ann R. Cannon
Publisher: Macmillan Higher Education
ISBN: 1319497586
Category : Mathematics
Languages : en
Pages : 0

Book Description
Introductory Statistics: A Student-Centered Approach and online resources in Achieve provide the keys to understanding statistics in the real world for today’s students. The authors have taken their streamlined writing style and layered in a wealth of worked examples, real data and applications, and easily accessible resources for making sense of statistics in our everyday lives. Knowledge and skills in statistics should be attainable for all students, no matter their background, and Introductory Statistics: A Student-Centered Approach balances the skill building and straightforward conceptual understanding students need to succeed. The digital resources in Achieve connect the mission of the text to immersive learning experiences and multimedia with a variety of assessment types to fit any teaching style. For courses that incorporate statistical software, Tech Corners in the text and in Achieve encourage students to analyze real-world data with the software of their choice. Achieve and Introductory Statistics: A Student-Centered Approach started first with the needs of students–how they learn and digest new material, what’s relevant to them, and how they practice their skills–and built out an all-in-one offering designed to provide a pathway to understanding for students of all backgrounds.

Statistical Inference as Severe Testing

Statistical Inference as Severe Testing PDF Author: Deborah G. Mayo
Publisher: Cambridge University Press
ISBN: 1108563309
Category : Mathematics
Languages : en
Pages : 503

Book Description
Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.

Sta 381

Sta 381 PDF Author: Rayens
Publisher:
ISBN: 9781645650973
Category :
Languages : en
Pages :

Book Description


Introduction to Social Statistics

Introduction to Social Statistics PDF Author: Thomas Dietz
Publisher: John Wiley & Sons
ISBN: 1405169028
Category : Mathematics
Languages : en
Pages : 613

Book Description
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.

Learning Statistics with R

Learning Statistics with R PDF Author: Daniel Navarro
Publisher: Lulu.com
ISBN: 1326189727
Category : Psychology
Languages : en
Pages : 617

Book Description
"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com