{"title":"Statisics at a brief through infographics","authors":"Leticia Ruiz","doi":"10.52041/srap.16708","DOIUrl":"https://doi.org/10.52041/srap.16708","url":null,"abstract":"INEGI ́s objectives are to generate, spread, preserve and promote the knowledge and use of official statistics and geography information that is generated and collected by the Institute. The information increases its value the more it is used and that ́s why at INEGI we constantly search new ways and channels to extend its dissemination and comprehension.","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131207943","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}
{"title":"Teaching statistical literacy by getting students to use real world data: 40 years worth of experience in 40 minutes","authors":"J. Carter, J. Nicholson","doi":"10.52041/srap.16304","DOIUrl":"https://doi.org/10.52041/srap.16304","url":null,"abstract":"The data deluge over the past twenty years has resulted in an explosion in volumes of available data. Access to data is increasingly easy; technology advances have resulted in increasingly sophisticated ways to represent and analyse these data. Citizens are confronted with statistics and numbers in a multitude of ways, so the imperative for improving statistical literacy is strong if we want a well-informed and data-literate population. Social sciences are embracing quantitative methods as demand grows, in the private and public sectors, for evidence-informed policy and a greater sophistication in approaching difficult to measure constructs, such as global sustainability, is emerging. The Sustainable Development Goals set out by the UN1 in September 2015, and the data requirements associated with them, may accelerate all of these trends. This paper will reflect on the authors’ experiences of working with real data in the context of schools, and university social science courses, over the past twenty years, and consider how this could inform discussions in developing statistical education.","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123798639","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}
{"title":"Offering stat 102: social statistics for decision makers","authors":"M. Schield","doi":"10.52041/srap.16605","DOIUrl":"https://doi.org/10.52041/srap.16605","url":null,"abstract":"Statistical educators should support offering three introductory statistics courses: STAT 100 (Statistical Literacy for non-quantitative majors), STAT 101 (Traditional inferential statistics) and STAT 102 (Social statistics for decision makers). The support for the STAT 102 claim includes the needs of most students taking introductory statistics, the different kinds of decisions being made, the growing importance of big data, the limited amount of free time in the current STAT 101 course, the 2016 update to the GAISE guidelines, the importance of confounding in influencing statistical associations and the ability of confounding to influence statistical significance. This paper provides student-tested ways of showing and explaining confounding, statistical significance and the influence of confounding on statistical significance. Indeed 100% of the IASE respondents agreed that students should be shown how confounding can influence statistical significance, 84% agreed that failure to illustrate this confounder-significance connection constituted \"professional negligence\" and 69% agreed that statistical educators should support offering STAT 102 along with STAT 100 and STAT 101. In a separate survey of the Augsburg students taking this STAT 102 type course, 61% agreed or strongly agreed that a STAT 102 course should be required by all students for graduation. With most of these statistical educators supporting the existence of a STAT 102 course and most Augsburg students seeing significant value in such a course, the door is now open for a new generation of courses, textbooks and teachers.","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133751756","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}
{"title":"European statistics and Eurostat's contribution to improving statistical literacy","authors":"M. de Smedt","doi":"10.52041/srap.16203","DOIUrl":"https://doi.org/10.52041/srap.16203","url":null,"abstract":"Statistical literacy is an important requirement for correctly interpreting and using (Official) Statistics. Several initiatives have been launched in the statistical community in general and in (inter/supra-) National Statistical Institutes (NSIs) in particular to help users to better use and understand statistics. Also Eurostat has launched several actions aiming to improve statistical literacy, but it lacks a good insight into whether and how this has a real impact on the statistical literacy of the users of its data. Through literature research and examination of some assessment tools, we seek to set the basis for Eurostat to prepare tools for evaluating and monitoring statistical literacy of the users of European statistics.","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130976487","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}
{"title":"IPUMS-International: Data resource for demystifying comparative statistics about society","authors":"Lara Cleveland, P. K. Hall, Kristen Jeffers","doi":"10.52041/srap.16503","DOIUrl":"https://doi.org/10.52041/srap.16503","url":null,"abstract":"IPUMS-International, the world's largest collection of high-precision census data samples, contains individual-level information on 614 million people in 82 countries spanning five decades. The database, built in cooperation with national statistical offices, provides remarkable access to data for educators wishing to expose students to real-world governmental data. Distinct census responses for each person are coded consistently across time and place; documentation is thorough, harmonized and easily accessible; and the web delivery system enables customized data extracts. Individual-level responses mean data can be used in analyses from simple descriptive tables to advanced statistical modeling. Uniform coding means a statistical algorithm developed to answer a question with one sample (country and year), can readily be applied to other samples, inviting students to extend their exploration of social change. Access to the data is free of charge.","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130981121","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}
{"title":"Engaging students in quantitative methods: real questions, real data","authors":"Mark Brown","doi":"10.52041/srap.16101","DOIUrl":"https://doi.org/10.52041/srap.16101","url":null,"abstract":"This paper sets out an approach to teaching ‘statistical literacy’ to social science students that is built around the need to first engage them with questions and data applications that excite them. It highlights the increasing range of accessible real world data which allow the teaching of statistics to be contextualized with data and questions that are topical, relevant and matched to the subject interests of the students being taught. The paper illustrates this approach with the example of a compulsory methods class taught by the author to Sociology undergraduates. The course is designed in a way that statistical concepts and techniques are encountered in-context and as part of a coherent research process in which the students are active participants – ‘statistics’ become the means to an end rather than an end in themselves. The approach has seen a transformation in student satisfaction scores and a new interest in developing data skills in final year options.","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134448557","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}
{"title":"Some misuses of statistics and how to avoid them","authors":"F. Rárosi, Krisztina Boda","doi":"10.52041/srap.16707","DOIUrl":"https://doi.org/10.52041/srap.16707","url":null,"abstract":"In medical literature, the misuse or misinterpretation of statistics is still a frequent problem. Several papers deal with this problem. (Phylip Schatz et al., 2005; Matthew S. Thiese et al., 2015; Goodman S., 2011) Among many typical mistakes, this poster will show some of such mistakes found frequently in our practice in collaboration with medical scientists.","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124367034","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}
{"title":"High school mathematics teachers’ reading of tables","authors":"Adam Molnar","doi":"10.52041/srap.16403","DOIUrl":"https://doi.org/10.52041/srap.16403","url":null,"abstract":"People frequently do not use numeric information as providers intended. Some lapses arise from psychological issues, but more errors (even among educated professionals) come from lack of mathematical skill. Lack of training is a cause; for instance, finding probabilities from tables appears in current US school standards, but not many earlier versions. To investigate teacher knowledge, 25 US high school mathematics teachers were interviewed on tasks related to tables and conditional probability. Although participants made mistakes, their content knowledge compared favorably to the general population. Interviewed teachers recognized common misconceptions and could offer potential suggestions to help students, but teachers acknowledged their lack of experience on the subject. Discussion includes how curriculum choices might develop students’ knowledge of categorical variables.","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133126069","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}