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Using summary tables to introduce principal component analysis in an elementary data science course 在初级数据科学课程中使用汇总表介绍主成分分析法
IF 0.8
Teaching Statistics Pub Date : 2024-06-03 DOI: 10.1111/test.12375
Jon‐Paul Paolino
{"title":"Using summary tables to introduce principal component analysis in an elementary data science course","authors":"Jon‐Paul Paolino","doi":"10.1111/test.12375","DOIUrl":"https://doi.org/10.1111/test.12375","url":null,"abstract":"This article presents a novel approach to introducing principal component analysis (PCA), using summary tables and descriptive statistics. Given its applicability across a variety of academic disciplines, this topic offers abundant opportunity for class discussion and activities. However, teaching PCA in an introductory class can be challenging due to the potential abstraction of multivariate datasets, and especially when students have a minimal background in statistics or data science. This method aims to help teachers bridge the gap between basic descriptive statistics and the more advanced concepts of PCA; this is done by disregarding mathematical optimization, while emphasizing the use of summary tables and the programming language R. The focus is on implementing this method in an introductory tertiary data science course; however, it may potentially be used in higher level courses, and across a variety of disciplines.","PeriodicalId":43739,"journal":{"name":"Teaching Statistics","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141272674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Visualizing a bivariate discrete distribution and other distributions derived from it 可视化二元离散分布及其衍生的其他分布
IF 0.8
Teaching Statistics Pub Date : 2024-04-28 DOI: 10.1111/test.12370
Jyotirmoy Sarkar, Mamunur Rashid
{"title":"Visualizing a bivariate discrete distribution and other distributions derived from it","authors":"Jyotirmoy Sarkar, Mamunur Rashid","doi":"10.1111/test.12370","DOIUrl":"https://doi.org/10.1111/test.12370","url":null,"abstract":"A single discrete random variable is depicted by a stick diagram, a 2D picture. Naturally, to visualize a bivariate discrete distribution, one can use a bivariate stick diagram, a 3D picture. Unfortunately, many students have difficulty understanding and processing 3D pictures. Therefore, we construct an alternative 2D disc plot to depict the bivariate distribution of (, ), from which we obtain graphically the conditional distributions of given , and given ; the marginal distributions of , , , . Furthermore, we depict the mean and the standard deviation of each distribution using a single‐headed arrow. We hope these visualizations will help students better comprehend these concepts and avoid some misconceptions.","PeriodicalId":43739,"journal":{"name":"Teaching Statistics","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2024-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140812291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Using practical programming tasks to enhance combinatorial understanding 利用实际编程任务加深对组合的理解
IF 0.8
Teaching Statistics Pub Date : 2024-04-12 DOI: 10.1111/test.12369
Sigal Levy, Yelena Stukalin, Nili Guttmann-Beck
{"title":"Using practical programming tasks to enhance combinatorial understanding","authors":"Sigal Levy, Yelena Stukalin, Nili Guttmann-Beck","doi":"10.1111/test.12369","DOIUrl":"https://doi.org/10.1111/test.12369","url":null,"abstract":"Probability theory has extensive applications across various domains, such as statistics, computer science, and finance. In probability education, students are introduced to fundamental principles which may include mathematical topics such as combinatorics and symmetric sample spaces. Students pursuing degrees in computer science possess a robust foundation in programming, software engineering, and algorithmic thinking. Despite entering probability courses with a unique perspective and learning potential, these students encounter challenges in grasping combinatorial concepts. In this experiment, we challenged first-year postsecondary computer science students to program a simulation of a practical combinatorics problem. Students commented on whether and how this task helped them internalize the basic concepts of combinatorics. We aim to show how utilizing programming tasks may empower students with a deeper grasp of combinatorics.","PeriodicalId":43739,"journal":{"name":"Teaching Statistics","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140586063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Exploring the use of ChatGPT in learning and instructing statistics and data analytics 探索使用 ChatGPT 学习和指导统计与数据分析
IF 0.8
Teaching Statistics Pub Date : 2024-04-10 DOI: 10.1111/test.12367
Yixun Xing
{"title":"Exploring the use of ChatGPT in learning and instructing statistics and data analytics","authors":"Yixun Xing","doi":"10.1111/test.12367","DOIUrl":"https://doi.org/10.1111/test.12367","url":null,"abstract":"Generative artificial intelligence (AI) has shown the potential to reshape the world and redefine daily workflows. One specific instance of generative AI, ChatGPT, specializes in understanding natural language and generating human-like conversational text. Its free access, user-friendly interface, and instant feedback have propelled its popularity within and beyond education. Given its extensive knowledge of traditional statistics and contemporary data science, it can be considered for integration into modern statistics education. However, there have been ongoing questions and serious concerns regarding the accuracy and accountability of the responses generated by ChatGPT. This study explores ChatGPT's capabilities in addressing conceptual problems, implementing analytical techniques, and facilitating teaching while considering its disadvantages and ongoing development. With continued practice and deeper insights into this novel technology, its benefits can be cautiously leveraged in teaching and learning activities.","PeriodicalId":43739,"journal":{"name":"Teaching Statistics","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140586255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Clinical trials concocted for the classroom 为课堂炮制的临床试验
IF 0.8
Teaching Statistics Pub Date : 2024-03-28 DOI: 10.1111/test.12368
L. Bonnett, Kerry Dwan, Susanna Dodd
{"title":"Clinical trials concocted for the classroom","authors":"L. Bonnett, Kerry Dwan, Susanna Dodd","doi":"10.1111/test.12368","DOIUrl":"https://doi.org/10.1111/test.12368","url":null,"abstract":"We describe an activity that introduces school‐aged children to clinical trials, that presents the terminology associated with randomized controlled trials, and that reveals how the findings from clinical trials are applicable to everyone everywhere.","PeriodicalId":43739,"journal":{"name":"Teaching Statistics","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140372177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Educating students about the ethical principles underlying the interpretation of infographics 教育学生了解解读信息图表所依据的道德原则
IF 0.8
Teaching Statistics Pub Date : 2024-01-03 DOI: 10.1111/test.12362
Salma Banu Nazeer Khan, Ayse Aysin Bilgin, Deborah Richards, Paul Formosa
{"title":"Educating students about the ethical principles underlying the interpretation of infographics","authors":"Salma Banu Nazeer Khan, Ayse Aysin Bilgin, Deborah Richards, Paul Formosa","doi":"10.1111/test.12362","DOIUrl":"https://doi.org/10.1111/test.12362","url":null,"abstract":"Infographics are visual storytelling techniques used to communicate complex information. However, infographics can be misleading if they are not created ethically. When universities teach how to create infographics, they often do so without emphasizing the ethical issues underlying infographics. To address this gap, we designed a study to educate statistics and data science students about the ethics of infographics by using Rest model's three stages: awareness, orientation, and intention. Students' awareness of the ethical issues underlying infographics was captured before and after sensitizing them to five ethical principles derived from the AI4People's framework applied to a data science context. The students were then exposed to scenarios with ethical dilemmas. Their identification of the ethical principles in these scenarios was measured. The results showed a significant increase in students' awareness of the ethical issues underpinning the interpretation of infographics, suggesting that ethical training of current users and future designers would be beneficial.","PeriodicalId":43739,"journal":{"name":"Teaching Statistics","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139373589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A gentle introduction to principal component analysis using tea-pots, dinosaurs, and pizza 用茶壶、恐龙和披萨温和地介绍主成分分析法
IF 0.8
Teaching Statistics Pub Date : 2024-01-03 DOI: 10.1111/test.12363
Edoardo Saccenti
{"title":"A gentle introduction to principal component analysis using tea-pots, dinosaurs, and pizza","authors":"Edoardo Saccenti","doi":"10.1111/test.12363","DOIUrl":"https://doi.org/10.1111/test.12363","url":null,"abstract":"Principal Component Analysis (PCA) is a powerful statistical technique for reducing the complexity of data and making patterns and relationships within the data more easily understandable. By using PCA, students can learn to identify the most important features of a data set, visualize relationships between variables, and make informed decisions based on the data. As such, PCA can be an effective tool to increase students data literacy by providing a visual and intuitive way to understand and work with data. This article outlines a teaching strategy to introduce and explain PCA using basic mathematics and statistics together with visual demonstrations.","PeriodicalId":43739,"journal":{"name":"Teaching Statistics","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139376609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Mathematics Education for the Future Project A Symposium on New Ways of Teaching & Learning The Historic City of Bologna, Italy, August, 2024 未来数学教育项目 2024 年 8 月在意大利历史名城博洛尼亚举行的新教学方法研讨会
IF 0.8
Teaching Statistics Pub Date : 2024-01-01 DOI: 10.1111/test.12366
{"title":"The Mathematics Education for the Future Project A Symposium on New Ways of Teaching & Learning The Historic City of Bologna, Italy, August, 2024","authors":"","doi":"10.1111/test.12366","DOIUrl":"https://doi.org/10.1111/test.12366","url":null,"abstract":"","PeriodicalId":43739,"journal":{"name":"Teaching Statistics","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139631346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Peter Holmes prize announcement 2023 宣布 2023 年彼得-霍姆斯奖
IF 0.8
Teaching Statistics Pub Date : 2024-01-01 DOI: 10.1111/test.12365
Helen MacGillivray, Editor
{"title":"Peter Holmes prize announcement 2023","authors":"Helen MacGillivray, Editor","doi":"10.1111/test.12365","DOIUrl":"https://doi.org/10.1111/test.12365","url":null,"abstract":"","PeriodicalId":43739,"journal":{"name":"Teaching Statistics","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139631201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
C Oswald George prize announcement 2023 C 奥斯瓦尔德-乔治奖宣布 2023 年
IF 0.8
Teaching Statistics Pub Date : 2024-01-01 DOI: 10.1111/test.12364
Helen MacGillivray, Editor
{"title":"C Oswald George prize announcement 2023","authors":"Helen MacGillivray, Editor","doi":"10.1111/test.12364","DOIUrl":"https://doi.org/10.1111/test.12364","url":null,"abstract":"","PeriodicalId":43739,"journal":{"name":"Teaching Statistics","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139634713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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