NDLI: Learning to reason from samples

Content Provider	Springer Nature Link
Author	Ben Zvi, Dani Bakker, Arthur Makar, Katie
Copyright Year	2015
Abstract	The goal of this article is to introduce the topic of learning to reason from samples, which is the focus of this special issue of Educational Studies in Mathematics on statistical reasoning. Samples are data sets, taken from some wider universe (e.g., a population or a process) using a particular procedure (e.g., random sampling) in order to be able to make generalizations about this wider universe with a particular level of confidence. Sampling is hence a key factor in making reliable statistical inferences. We first introduce the theme and the key questions this special issue addresses. Then, we provide a brief literature review on reasoning about samples and sampling. This review sets the grounds for the introduction of the five articles and the concluding reflective discussion. We close by commenting on the ways to support the development of students’ statistical reasoning on samples and sampling.
Starting Page	291
Ending Page	303
Page Count	13
File Format	PDF
ISSN	00131954
Journal	Educational Studies in Mathematics
Volume Number	88
Issue Number	3
e-ISSN	15730816
Language	English
Publisher	Springer Netherlands
Publisher Date	2015-02-07
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Informal statistical inference Sample Sampling Statistics education Statistical reasoning Mathematics Education Mathematics
Content Type	Text
Resource Type	Article
Subject	Education Mathematics

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Learning to reason from samples

Developing students’ reasoning about samples and sampling in the context of informal inferences

Proper and paradigmatic metonymy as a lens for characterizing student conceptions of distributions and sampling

Developing students’ reasoning about samples and sampling variability as a path to expert statistical thinking

What I see is not quite the way it really is: students’ emergent reasoning about sampling variability

Young children's explorations of average through informal inferential reasoning

Students’ emergent articulations of uncertainty while making informal statistical inferences

Data seen through different lenses

Data modelling with first-grade students

Learning to reason from samples

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Learning to reason from samples

Developing students’ reasoning about samples and sampling in the context of informal inferences

Proper and paradigmatic metonymy as a lens for characterizing student conceptions of distributions and sampling

Developing students’ reasoning about samples and sampling variability as a path to expert statistical thinking

What I see is not quite the way it really is: students’ emergent reasoning about sampling variability

Young children's explorations of average through informal inferential reasoning

Students’ emergent articulations of uncertainty while making informal statistical inferences

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