Thinking With Data 1st Edition by Marsha C Lovett, Priti Shah ISBN 1410616347 9781410616340

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ISBN 10: 1410616347 
ISBN 13: 9781410616340
Author: Marsha C Lovett, Priti Shah

The chapters in Thinking With Data are based on presentations given at the 33rd Carnegie Symposium on Cognition. The Symposium was motivated by the confluence of three emerging trends: (1) the increasing need for people to think effectively with data at work, at school, and in everyday life, (2) the expanding technologies available to support peopl

Thinking With Data 1st Table of contents:

Part I: Reasoning about Uncertainty and Variation
1. Separating Signal From Noise: Children’s Understanding of Error and Variability in Experimental Outcomes
2. Complex Visual Data Analysis, Uncertainty, and Representation
3. “I Don’t Know What’s Going on There”: The Use of Spatial Transformations to Deal With and Resolve Uncertainty in Complex Visualizations
4. Students’ Conceptual Understanding of the Standard Deviation
5. Using Students’ Informal Notions of Variability to Develop an Understanding of Formal Measures of Variability
6. Contrasting Emerging Conceptions of Distribution in Contexts of Error and Natural Variation
7. Discussion of Part I: Variation in the Meaning and Learning of Variation
Part II: Statistical Reasoning and Data Analysis
8. Do Naïve Theories Ever Go Away? Using Brain and Behavior to Understand Changes in Concepts
9. Intricacies of Statistical Inference and Teachers’ Understandings of Them
10. Middle School Students’ Use of Appropriate and Inappropriate Evidence in Writing Scientific Explanations
11. Designing a Data Analysis Tool for Learners
12. Data-Analysis Skills: What and How Are Students Learning?
13. Reconsidering Prior Knowledge
14. Discussion of Part II: Statistical Reasoning and Data Analysis
Part III: Learning from and Making Decisions with Data
15. Causal Learning From Observations and Manipulations
16. Statistical Reasoning: Valid Intuitions Put To Use
17. Adolescents’ Thinking About the Risks of Sexual Behaviors
18. Discussion of Part III: Learning and Making Decisions With Data

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