Jumat, 11 November 2011

[V940.Ebook] Get Free Ebook Reasoning about Uncertainty: Learning and Teaching Informal Inferential Reasoning, by Andrew S. Zieffler

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Reasoning about Uncertainty: Learning and Teaching Informal Inferential Reasoning, by Andrew S. Zieffler

Reasoning about Uncertainty: Learning and Teaching Informal Inferential Reasoning, by Andrew S. Zieffler



Reasoning about Uncertainty: Learning and Teaching Informal Inferential Reasoning, by Andrew S. Zieffler

Get Free Ebook Reasoning about Uncertainty: Learning and Teaching Informal Inferential Reasoning, by Andrew S. Zieffler

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Reasoning about Uncertainty: Learning and Teaching Informal Inferential Reasoning, by Andrew S. Zieffler

The research presented in this volume is the culmination of a two-year process that began in August 2013. That summer, 26 statistics education researchers met in Two Harbors, Minnesota for the Eighth International Research Forum on Statistical Reasoning, Thinking, and Literacy (SRTL-8). The theme for the forum was reasoning about uncertainty in the context of making informal statistical inferences. Over a period of seven days, this group of researchers presented, discussed, and examined research related to the forums theme of reasoning about uncertainty in the context of making informal statistical inferences. The research at SRTL-8 covered many different facets (e.g., use of technology and students' classroom articulation) and explored several different populations of students (primary, secondary, and tertiary levels), adults, and even teachers of statistics. The chapters in this book constitute a subset of that research, and reflect the variation in both the populations and topics studied.

  • Sales Rank: #4630448 in Books
  • Published on: 2015-07-28
  • Original language: English
  • Dimensions: 9.21" h x .46" w x 6.14" l,
  • Binding: Paperback
  • 204 pages

Most helpful customer reviews

0 of 0 people found the following review helpful.
An accessible guide to understanding the underpinnings of statistical thinking and reasoning
By Nicholas Horton
This is an excellent resource for those seeking to understand the underpinnings of statistical education and reasoning about variability and uncertainty. The book contains 6 chapters edited by Andrew Zieffler and Elizabeth Fry of the University of Minnesota. Each chapter tackles a different but related question of how students and preservice teachers understand (or misunderstand) statistical and probabilistic concepts. All are highly accessible and relevant to the increased focus on statistics, probability, and modeling in the Common Core State Standards in the US (and related curricular efforts worldwide). I recommend this for many purposes, including a journal club reading group or use in a statistics education class or seminar.

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