Neglected, Acknowledged, or Targeted: A Conceptual Framing of Variability, Data Analysis, and Domain Consequences

IF 2.2 Q3 Social Sciences

Journal of Statistics Education Pub Date : 2024-01-24 DOI:10.1080/26939169.2024.2308119

Zachary Rosario

引用次数: 0

Abstract

Variability is underemphasized in domains such as engineering. Statistics and data science education research offers a variety of frameworks for understanding variability, but new frameworks for do...

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被忽视、被承认或被瞄准：变异性、数据分析和领域后果的概念框架

在工程学等领域，变异性未得到足够重视。统计和数据科学教育研究为理解变异性提供了各种框架，但用于理解变异性的新框架还不够完善。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Statistics Education EDUCATION, SCIENTIFIC DISCIPLINES-

CiteScore

1.20

自引率

0.00%

发文量

审稿时长

12 weeks

期刊介绍： The "Datasets and Stories" department of the Journal of Statistics Education provides a forum for exchanging interesting datasets and discussing ways they can be used effectively in teaching statistics. This section of JSE is described fully in the article "Datasets and Stories: Introduction and Guidelines" by Robin H. Lock and Tim Arnold (1993). The Journal of Statistics Education maintains a Data Archive that contains the datasets described in "Datasets and Stories" articles, as well as additional datasets useful to statistics teachers. Lock and Arnold (1993) describe several criteria that will be considered before datasets are placed in the JSE Data Archive.