Editorial Comment

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2022-06-01 DOI:10.1111/test.12047

Kassandra E. Zaila Ardines, Petar Bajic

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Abstract

© 2014 The Authors Teaching Statistics © 2014 Te Teaching Statistics hats off to the G Oswald George prize winners 2013 for focussing attention on problems with excessive use of the term ‘population’ in statistics education and discussion of possible alternative approaches. In their article, Lu and Henning (2013) quote an oftenused classical definition of a population as ‘the set of all entities of interest in a particular statistical study’, discuss what is wrong with the population concept, include suggestions of terms such as ‘data generating process’ and the ‘statistical population’ of Kass (2011), and emphasize the importance of understanding and questioning the assumptions of a statistical model, and how a statistical model is a ‘lens’ (Wild, 2006). There is much discussion that can be opened here. Is the prolonged use of the word ‘population’ just habit, or is it because of avoiding words such as ‘theoretical’, ‘model’, ‘distribution’ or ‘parameter’, and lack of energy to find alternative expressions suitable for various student levels? Lu and Henning point to the problem of understanding randomness in experiments; the challenges of observational studies require even more discussion with students. In coming to understand concepts of random representativeness of data with respect to the issues of interest, the words ‘general situation or population’ can be very useful. For example, ‘if the data can be considered randomly representative of a general situation or population with respect to the issues of interest, then we can use the data to comment on the general situation or population with respect to these issues’. Clearly the word ‘population’ is appropriate for some statistical situations, particularly those involving sampling from real populations of entities whether they be marbles or people. Such situations tend to be how young students are introduced to both chance and data. Then the term ‘population proportion’, which does make sense, tends to appear and the challenges of sampling to estimate a population proportion provide rich scenarios for student thinking and learning, with focus on ‘worry’ questions rather than delusions created by emphasis on sampling schemes available to organisations with vast resources. Categorical data do indeed provide valuable doors to statistical concepts and thinking at a

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©2014作者教学统计学©2014 Te教学统计学向2013年G Oswald-George奖得主致敬，因为他们在统计教育中过度使用“人口”一词的问题以及对可能的替代方法的讨论引起了人们的关注。在他们的文章中，Lu和Henning（2013）引用了一个经常使用的经典定义，将人口定义为“特定统计研究中感兴趣的所有实体的集合”，讨论了人口概念的错误，包括Kass（2011）的“数据生成过程”和“统计人口”等术语的建议，并强调理解和质疑统计模型假设的重要性，以及统计模型如何成为“镜头”（Wild，2006）。这里可以展开许多讨论。长期使用“群体”一词只是习惯，还是因为回避“理论”、“模型”、“分布”或“参数”等词，缺乏精力寻找适合不同学生水平的替代表达？鲁和海宁指出了在实验中理解随机性的问题；观察性研究的挑战需要与学生进行更多的讨论。在理解与感兴趣的问题有关的数据的随机代表性的概念时，“一般情况或人口”一词可能非常有用。例如，“如果数据可以被认为是与感兴趣的问题有关的一般情况或人群的随机代表，那么我们可以使用这些数据来评论与这些问题有关的总体情况或人群”。显然，“人口”一词适用于某些统计情况，特别是那些涉及从实体的真实人口中采样的情况，无论这些实体是大理石还是人。这种情况往往是向年轻学生介绍机会和数据的方式。然后，确实有意义的“人口比例”一词往往会出现，而抽样估计人口比例的挑战为学生的思考和学习提供了丰富的场景，重点是“担忧”问题，而不是强调拥有大量资源的组织可用的抽样方案所产生的错觉。分类数据确实为统计概念和思维提供了有价值的途径

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.