Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II)

Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II) PDF

Author: Anna Bargagliotti

Publisher:

Published: 2020

Total Pages: 124

ISBN-13: 9781734223514

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"This document lays out a curriculum framework for pre-K-12 educational programs that is designed to help students achieve data literacy and become statistically literate. The framework and subsequent sections in this book recommend curriculum and implementation strategies covering pre-K-12 statistics education"--

Teaching Seventh Grade Statistics and Probability

Teaching Seventh Grade Statistics and Probability PDF

Author: Tammy Veenstra

Publisher:

Published: 2014

Total Pages: 84

ISBN-13:

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"The Common Core State Standards have provided schools with a new set of required objectives. Specifically in the area of statistics and probability, seventh grade math teachers have new objectives they are required to teach, but they do not necessarily have the required knowledge or curriculum to meet the standards. The Guidelines for Assessment and Instruction in Statictics Education (GAISE) Report and Introduction to Statistical Investigations were used as resources and revised for the seventh grade level. Results of observations and written assessments indicated the inference-based approach effectively taught the students the required standards."--p.vi.

Statistics

Statistics PDF

Author: Ann E. Watkins

Publisher: John Wiley & Sons

Published: 2011

Total Pages: 1705

ISBN-13: 0470458518

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Statistics, 2nd Edition teaches statistics with a modern, data-analytic approach that uses graphing calculators and statistical software. It allows more emphasis to be put on statistical concepts and data analysis rather than following recipes for calculations. This gives readers a more realistic understanding of both the theoretical and practical applications of statistics, giving them the ability to master the subject.

A Guide to Teaching Statistics

A Guide to Teaching Statistics PDF

Author: Michael R. Hulsizer

Publisher: John Wiley & Sons

Published: 2009-01-30

Total Pages: 280

ISBN-13: 9781444305241

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A Guide to Teaching Statistics: Innovations and BestPractices addresses the critical aspects of teaching statisticsto undergraduate students, acting as an invaluable tool for bothnovice and seasoned teachers of statistics. Guidance on textbook selection, syllabus construction, andcourse outline Classroom exercises, computer applications, and Internetresources designed to promote active learning Tips for incorporating real data into course content Recommendations on integrating ethics and diversity topics intostatistics education Strategies to assess student's statistical literacy, thinking,and reasoning skills Additional material online at ahref="http://www.teachstats.org/"www.teachstats.org/a

Developing Students’ Statistical Reasoning

Developing Students’ Statistical Reasoning PDF

Author: Joan Garfield

Publisher: Springer Science & Business Media

Published: 2008-09-08

Total Pages: 407

ISBN-13: 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

Data Visualization and Statistical Literacy for Open and Big Data

Data Visualization and Statistical Literacy for Open and Big Data PDF

Author: Prodromou, Theodosia

Publisher: IGI Global

Published: 2017-03-20

Total Pages: 385

ISBN-13: 1522525130

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Data visualization has emerged as a serious scholarly topic, and a wide range of tools have recently been developed at an accelerated pace to aid in this research area. Examining different ways of analyzing big data can result in increased efficiency for many corporations and organizations. Data Visualization and Statistical Literacy for Open and Big Data highlights methodological developments in the way that data analytics is both learned and taught. Featuring extensive coverage on emerging relevant topics such as data complexity, statistics education, and curriculum development, this publication is geared toward teachers, academicians, students, engineers, professionals, and researchers that are interested in expanding their knowledge of data examination and analysis.