Learning to reason from samples

被引：21

作者：

Ben-Zvi, Dani ^{[1
]}

Bakker, Arthur ^{[2
]}

Makar, Katie ^{[3
]}

机构：

[1] Univ Haifa, Fac Educ, IL-31999 Haifa, Israel

[2] Univ Utrecht, Freudenthal Inst, Utrecht, Netherlands

[3] Univ Queensland, Sch Educ, Brisbane, Qld, Australia

来源：

EDUCATIONAL STUDIES IN MATHEMATICS | 2015年 / 88卷 / 03期

关键词：

Informal statistical inference; Sample; Sampling; Statistics education; Statistical reasoning; STATISTICS; CONTEXT; SIZE;

D O I：

10.1007/s10649-015-9593-3

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

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..

引用

页码：291 / 303

页数：13

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