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Fundamentals of Statistical Reasoning in Education

Fundamentals of Statistical Reasoning in Education
Author: Theodore Coladarci
Publisher: John Wiley & Sons
Total Pages: 448
Release: 2013-12-31
Genre: Education
ISBN: 1118425219

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Fundamentals of Statistical Reasoning in Education, 4th Edition is a text specifically geared towards the education community. This text gives educators the statistical knowledge and skills necessary in everyday classroom teaching, in running schools, and in professional development pursuits. It emphasises conceptual development with an engaging style and clear exposition.


Fundamentals of Statistical Reasoning in Education

Fundamentals of Statistical Reasoning in Education
Author: Theodore Coladarci
Publisher: John Wiley & Sons
Total Pages: 481
Release: 2010-10-11
Genre: Education
ISBN: 0470574798

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A statistics book specifically geared towards the education community. This book gives educators the statistical knowledge and skills necessary in everyday classroom teaching, in running schools, and in professional development pursuits. It emphasizes conceptual development with an engaging style and clear exposition.


Developing Students’ Statistical Reasoning

Developing Students’ Statistical Reasoning
Author: Joan Garfield
Publisher: Springer Science & Business Media
Total Pages: 407
Release: 2008-09-08
Genre: Education
ISBN: 1402083831

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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 Psychology and Education

Statistical Reasoning in Psychology and Education
Author: Edward W. Minium
Publisher: Wiley
Total Pages: 620
Release: 1993-01-26
Genre: Psychology
ISBN: 9780471821885

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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.