StatLit.Org

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2021 Aug: Simpson's Paradox and Covid Deaths. Schield 8/12/2021 ASA JSM Birds of a Feather Slides 2021 Aug: UNM offers Confounder-Based Statistical Literacy Course. Schield 8/11/2021 JSM Full SlidesVideo; Speed Slides Video 2021 Aug: Statistical Literacy: The Diabolical Denominator. Schield 8/4/2021 MathFest Slides Video 2021 Aug: A Simple Graphic Method to Assess Correlation Othmar Winkler 2021 Biometrics and Biostatistics International Journal 2021 June: Teaching Confounding by Milo Schield.6/26/2021 USCOTS Two-hour invited workshop. Slides 2021 June: Statistical Literacy for Policy Makers Schield7/16/2021 SlidesISI ISLP: Stat Data Lit for Policy Makers 2021 June: Ambiguity of Phi in Excel by Milo Schield. 2021 May:The War on Statistical Significance by Donald Macnaughton. A must-read for statistical educators. 2021 May:125 statistical educators sign up for Schield's USCOTS workshop: Teaching Confounding. Sat 26 June. 2021 May:Schield JSM (UNM offers new statistical literacy course). Speed session: Wed Aug 11 at 1:30 EDT. 2021 Apr: Schield Planned Presentations 2021 StatLit Picks USCOTS Schedule 2021 2021 Mar: Schield comments: Dashiell Young-Saver's Dangerous Denominators. New York Times Nate Bowling's Statistical Literacy is Too Important... in StatsMedic. 2021 Jan: NNN Meeting Feb 26-28 Announcement Schedule 28 papers. Online. Keynotes: Carl Bergstrom and Jevin West (Teaching Calling Bullshit ) and Jessica Utts (Confounding) 2020 Dec: Call for Research on English Grammar Used to Describe and Compare Ratios. Schield 12/03/2020 2020 Nov: NNN Call for Papers By Nov 30. National Numeracy Network Annual Meeting. Feb 25-27 2020 Nov: Covid19: Infections, Cases and Deaths (slides) by Milo Schield 11/21/2020 2020 Nov: NNN-MAA Numeracy Survey: Call for Participants. National Numeracy Network 2020 Aug: Statistical Literacy: Scanlan's Paradox. Schield 8/03 JSM Slides Audio 2020 July: 2020 Coronavirus Covid-19: An Explanatory Model. Slides Milo Schield 7/19/2020. 2020 May: Controlling for Context by Standardizing. Schield 5/20 ECOTS Slides Video (5 min) 2020 Mar: Covid19: An Analysis (slides) by Milo Schield 03/08 2019 July: The 9 Pitfalls of Data Science by Gary Smith and Jay Cordes. TOC. 2019 May: NNN 2019 Annual Meeting: Call for papers. Austin TX Oct 11-13 National Numeracy Network 2019 May: Statistical Literacy: Evaluating Evidence from Observational Studies. Schield's USCOTS Workshop: May 14 1-4 pm 2019 May: Interpreting the CDF of Socio-Economic Data 1/2019. A Statistical Mystery Resolved 5/2019. Othmar Winkler 2019 Apr: Univ. New Mexico developing two new courses: Statistical Literacy and Statistics for Research. Math Dept Hiring. 2019 Apr: Statistical literacy, or “how” to find the answers to your questions, comes with education and practice. Forbes. April 14, 2019 2018 July: Confounding and Cornfield: Back to the Future. By Milo Schield (2018) for ICOTS 10. Cornfield's minimum effect size is one of the greatest contributions of statistics to human knowledge alongside the Central limit theorem and Fisher's use of random assignment to statistically control for pre-existing confounders. To change the future, we need to go back to when Jerome Cornfield argued that smoking caused cancer. Our unwillingness to talk about observational causation, confounding and strength of evidence is arguably the primary reason our students' see little value in the introductory statistics normally taught in Stat 101. We need to teach multivariate statistics, confounding and the Cornfield conditions so students will appreciate statistics. 2018 Nov: IASE 2019 Satellite Conference Announcement. Kuala Lumpur 2018 Oct: ISI Objectives: #4. To advocate and foster statistical literacy, the use of statistics and data in decision making by governments, businesses and individuals. 2018 July: Statistical Literacy and the Lognormal Distribution. By Milo Schield (2018) for ASA JSM. There is no public data on the income share of the top 1% of households; those percentages are estimates. Those estimates vary from 5% to 40%. They are based on different data using different definitions and different models. 2018 July: Schield selected as a Fellow by the American Statistical Association. Summary Certificate 2018 May: The Book of Why: A New Science of Cause and Effect. Judea Pearl. Summary and TOC. Index Judea Pearl's new book, The Book of Why, is a must read for anyone interested in philosophy, science, machine learning or statistics. The Book of Why is arguably the most important book on causal statistics since Cornfield debated Fisher on whether smoking caused lung cancer. Schield (2018) 2018 May Six Books that Sharpened my BS Detector by Joseph Makansi. 2018 April Seven Habits of Highly Numerate People by Doug Berdie. Minneapolis Star and Tribune. 2018 March 4: Gartner Advanced Analytics and Big Data Summit. Marc Isaacson and Milo Schield (Quant-Fluent) conduct a three-hour workshop on Data Literacy and Statistical Literacy The future of Statistical Literacy is the future of statistics Editorial by guest editors Jim Ridgway and James Nicholson. On an optimistic note, Milo Schield argues that the 2016 revision of the GAISE Guidelines marks a major step forward in promoting statistical literacy via its increased emphasis on evidence appropriate for decision making – such as paying attention to study design and multivariate data and associated concepts such as confounding. Conclusion: Statistical literacy is a pre-requisite for an informed democracy. Increasing statistical literacy is a key element in warding off the existential crisis we face. Revising current curricula in school and at university to ensure that there is an adequate focus on using evidence to make decisions in realistic contexts is an essential starting point. At least as important is for statistics educators to take a broader view of their task, and to engage directly with the illiteracies encountered in broadcast and social media – for example by direct critique, or by promoting statistical literacy directly. There is a need for disparate elements of the statistics community to come together; cultivating statistical literacy across the whole of society should be a goal that brings like-minded people together with a common cause. Invited Editorials: Statistical Literacy for Active Citizenship: A Call for Data Science Education by Joachim Engel GAISE 2016 Promotes Statistical Literacy by Milo Schield Conclusion: By introducing multivariate thinking and, more importantly, confounding, the GAISE revision committee has accepted – and greatly advanced – statistical literacy in the process. The revised guideline (GAISE, 2016) is the most important institutional paper advancing statistical literacy to date. Including multivariate thinking and confounding in introductory statistics courses and textbooks will be the biggest change in statistical education in decades. These are exciting times for statistical literacy and for statistics education. Against Inferential Statistics: How and Why Current Statistics Teaching Gets It Wrong by Patrick White and Stephen Gorard A Response to White and Gorard: Against Inferential Statistics by James Nicholson and Jim Ridgway Still against Inferential Statistics: Rejoinder to Nicholson and Ridgway by Stephen Gorard and Patrick White Research Papers: From the Classroom to the Workplace: How Social Science Students Are Learning to do Data Analysis for Real by Jackie Carter, Mark Brown, and Kathryn Simpson Telling Stories, Landing Planes and Getting Them Moving – A Holistic Approach to Developing Students' Statistical Literacy by Julie Scott Jones and John E. Goldring Opening Real Science: Evaluation of an Online Module on Statistical Literacy for Pre-Service Primary Teachers by Ayse Aysin Bombaci Bilgin, Elizabeth Date-Huxtable, Carmel Coady, Vincent Geiger, Michael Cavanagh, Joanne Mulligan, and Peter Petocz Developing Statistical Literacy in the Final School Year by Stephanie Budgett and Drusilla Rose Interpretation of Statistical Data: The Importance of Affective Expressions by Tamires Queiroz, Carlos Monteiro, Liliane Carvalho, and Karen François The Development of Statistical Literacy at School by Rosemary Callingham and Jane M. Watson Key Success Factors for Statistical Literacy Poster Competitions by Steve MacFeely, Pedro Campos, and Reija Helenius. Statistical Literacy in Public Debate – Examples from the UK 2015 General Election by Phoebe Arnold Regular Papers: Is the P-value Really Dead? Assessing Inference Learning Outcomes for Social Science Students in an Introductory Statistics Course by Sharon Lane-Getaz 2017: June Panorama of Statistics: Perspectives, puzzles and paradoxes in statistics by Eric Sowey Peter Petocz. The authors guide readers, who already know something of statistics, to see the richness of the discipline and to let them discover its fascinations. Among the chapters you can find aspects of statistics (e.g. statistical literacy, intellectual history, and epistemology) that are outside the conventional instructional mainstream and beyond the scope of most textbooks. This is a book which can engage curious students, teachers, and consumers of statistics, as well as practitioners of statistics and of statistics-using disciplines. Table of Contents: Part I. Introduction. 1) Why is statistics such a fascinating subject? 2) How statistics differs from Mathematics 3) Statistical literacy - essential in the 21st century! 4) Statistical inquiry on the web. Part II: Statistical description 5) Trustworthy statistics are accurate, meaningful and relevant 6) Let hear it for the standard deviation! 7) Index numbers - time travel for averages 8) The beguiling ways of bad statistics I 9) The beguiling ways of bad statistics II Part III: Preliminaries to inference 10) Puzzles and paradoxes in probability 11) Some paradoxes of randomness 12) Hidden risks for gamblers 13) Models in statistics 14) The normal distribution: history, computation and curiosities Part IV Statistical inference 15) The pillars of applied statistics I - estimation 16) The pillars of applied statistics II - hypothesis testing 17) 'Data snooping' and the significance level in multiple testing 18) Francis Galton and the birth of regression 19) Experimental design - piercing the veil of random variation 20) In praise of Bayes Part V: Some statistical byways 21) Quality in statistics 22) History of ideas: statistical personalities and the personalities of statisticians 23) Statistical eponymy 24) Statistical 'laws' 25) Statistical artifacts Part VI: Answers to chapter questions 2017 May 16 Atlantic. Protecting the Public Commons by Alexander B. Howard May. A core component of a high school education should include teaching people how to judge risk, statistical literacy, and how to exercise our rights to access public information. 2017 May 12 New ISI Objective: To advocate and foster statistical literacy, the use of statistics and data in decision making by governments, businesses and individuals. ISI 2017 Update of Mission and Objectives. 2016 Mission and Objectives. 2017 April 29: Schield invited to talk on Statistical Literacy in Toronto at the Field Institute Math-Ed forum. Schedule Statistical Literacy: What is it... Who needs it... What is stopping it...Slides Audio PPTX 2016 July: Offering STAT 102: Social Statistics for Decision Makers. Schield IASE Roundtable in Berlin. 2015: Introduction to Statistical Investigations by Tintle, Chance, Cobb, Rossman, Roy, Swanson VanderStoep (2015). Wiley Description TOC 2014pb The Math Myth and Other STEM Delusions Book by Andrew Hacker. The Wrong Way to Teach Math 2/2016. NY Times Is Algebra Necessary? 7/2012 NY Times. Reviews: Goldstein Hecker: Down with Algebra II . 2012 Rebuttals: Mehta, Devlin. 2016 Rebuttals: Devlin Aug 4. Willful Ignorance by Herb Weisberg (picture above) is now available!! [Editor: This book is my #1 pick for 2014.] Weisberg's grasp of statistical history is comprehensive without being over-whelming. But this is more than just a history book on statistics. Weisberg has a point to make -- that statisticians have mis-measured uncertainty! And this mis-measurement involves willful ignorance !!! These are fighting words for statisticians who consider the proper measurement of uncertainty to be their primary task. For more details on Herbert Weisberg, visit his page. If you buy one statistics book this year, buy this one! Amazon US Two Big Ideas for Teaching Big Data: Coincidence and Confounding by Milo Schield. ECOTS invited paper downloaded 4,200 times in the seven months it has been posted in 2014. See also Schield slides presented at Big Data panel. I hope that...statistical literacy will...rise to the top of your advocacy list Ruth Carver, ASA 2012 Presidential Address 29% of US Freshman took stats in high school (15% took AP Stats), so 14% took non-AP Stats. 2012 Am. Freshman Spurious Correlations (More than 9,000 computer-generated as of 5/2014): For example: Number of people who died by becoming tangled in their bed sheets correlates with Total revenue generated by skiing facilities (US). [Great examples, but a high correlation coefficient between two times series does not imply statistical significance -- much less a causal connection. See Cross-correlation. Editor] 2014 10: Highest Monthly Downloads:October had 45,000 downloads from this site: the highest number in our ten-year history. Last year's monthly high was 26,000 in May. The biggest cause is the download of the the PowerPoint demos to create various statistics and models using Excel: over 67,000 YTD. The Create-Lognormal-Excel2013 demo has had 36,000 downloads so far this year. 2014 11: Highest Monthly Index Views @ StatLit.org: November had 6,200 index views -- 33% more than last year's monthly high. DEFINITIONS Statistical literacy is the ability to read and interpret summary statistics in the everyday media: in graphs, tables, statements, surveys and studies. Statistical literacy is needed by data consumers – students in non-quantitative majors: majors with no quantitative requirement such as political science, history, English, primary education, communications, music, art and philosophy. About 40% of all US college students graduating in 2003 had non-quantitative majors. By Milo Schield in Assessing Statistical Literacy: Take CARE Ch 11 in Assessment Methods in Statistical Education, pp. 133-152. Wiley 2010Schield excerpts Short introduction to Statistical Literacy. For more on confounding, see Standardizing. UK Parliament Briefing paper on Statistical Literacy Statistical literacy: the ability to read and interpret statistics, and think critically about arguments that use statistics as evidence United Nations Development Dictionary (move slider to s ) [link broken/missing in 2012] Statistical literacy: understanding the basic language of statistics (e.g., knowing what statistical terms and symbols mean and being able to read statistical graphs), and understanding some fundamental ideas of statistics. GAISE College Report Yearly highlights of grants, new books, conference papers (ICOTS, ISI, JSM, JMM), and events involving statistical literacy. Herbert Weisberg (2014) Author of Willful Ignorance: Measurement of Uncertainty read Appendix B of the 2016 update to the ASA GAISE recommendations. This paper argues that introductory statistics courses should include multivariate thinking (and confounding). See also footnote 40 in ASA (2014). Curriculum Guidelines for Undergraduate Programs in Statistical Science. Issues of confounding and causal inference are central to the discipline of statistics. The second-most important paper introduces confounding as 'one of the two major themes in statistical analysis'. See Challenging the state of the art in post-introductory statistics by Tintle, Chance, Cobb, Rossman, Roy, Swanson and VanderStoep (2013). The third by the same authors is Introduction to Statistical Investigations (2016) where confounding is introduced in chapter 4 on causation. By introducing confounding, these three papers are arguably the most important non-Schield papers in statistical education since 2002 when Howard Wainer publicized 'The BK-Plot: Making Simpsons' Paradox Clear to the Masses'. Together they mark a new beginning of statistics education for the 21st century. Milo Schield, StatLit Editor 11 Business Analytics and Data Science. Schield DSI 2014 slides 10 Statistical Literacy+Coincidence. Schield NNN1 Workshop 2014 slides 10 Explore Log-Normal Incomes Schield NNN2 2014 Slides xls Update 10 Creating Distributions Empirically. M. Schield. NNN3 Workshop Slides 10 Statistically-Significant Correlations. Milo Schield. NNN4 2014 Slides 10 Segmented Linear Regression. Schield. NNN5 Workshop 2014 Slides 08 Top 30 Learning Goals for Introductory Sociology. Persell 2010 List 08 Social Science Reasoning QL Learning Goals Caulfield+Persell'06List 07 2013 MSMESB: Predictive Analytics course. Levine et al. slides 07 2013 MSMESB: Spreadsheet Analytics. James R. Evans. slides 07 2013 MSMESB: Implications of Big Data for Stat Ed. Berenson slides 07 2013 MSMESB: Big Data Statistics Instruction. Berenson slides 07 2013 MSMESB: Big Data in Stat 101: Small changes. McKenzie slides 07 2013 MSMESB: Create Business Analytics class. Kirk Karawan. slides 07 2013 MSMESB: Getting Analytics into the curriculum. Karawan. slides 07 2013 MSMESB: Analytics and the Evolving Workforce. LaBarr. slides 07 2013 MSMESB: MS Business Analytics program. Nargundkar. slides 3,148 Quantitative Literacy/Reasoning Textbooks as of 2015. Schield 2,910 Statistical Literacy Articles by Year posted to www.StatLit.org 2,845 StatLit News: 2009 News of the Year 2,749 StatLit News: 2013 News of the Year 2,689 Joel Best author page 2,684 Standardizing. Different techniques by Schield 2,440 StatLit News: 2012 News of the Year 2,372 StatLit News: 2011 News of the Year 2,311 StatLit News: 2010 News of the Year 2,217 StatLit Tools Excel-based tools for analyzing statistics 2,153 Gerald Bracey author page 2,061 StatLit News: 2008 News of the Year 1,967 Gerd Gigerenzer author page 1,949 Adult Numeracy page 1,849 StatLit News: 2014 News of the Year 1,224 StatLit News: 2007 News of the Year 1,179 Blastland author page 1,110 StatLit News: 2006 News of the Year 1,087 Milo Schield author page with related items Note: the leading number is the number of page reads for each page Web-accessible articles presenting a general background or overview.Statistical Literacy: Statistical Literacy, Numeracy and the Future, Peter Holmes, talk at Augsburg College 31 March 2003 Including Construction in Quantitative Literacy, Joel Best, 4/2007 Talk at Midwest Sociological Society, Chicago Statistical Literacy: A New Mission for Data Producers. Schield, 2011 Statistical Journal International Assoc Official Statistics Making Sense of Statistics by Nigel Hawkes and Leonor Sierra. Section 1: If a statistic is the answer, what was the question? Section 2: Common pitfalls. Section 3: How sure are we? Section 4: Percentages and risk; knowing the absolute and relative changes. Get concise updates on what is happening. One to four e-mails per year on current events or site updates. Easy opt-out option as part of each e-mail. No passwords. No other member sees your name or address.No resale to any 3rd party. Over 1,100 members. To sign up, enter your e-mail address, an optional name (real or fictional) and press Subscribe. 2020: May 19-21 ECOTS Mon: Workshop: Multivariable thinking across the curriculum by Chance et al. Tues: Poster: Exploring how students reason about correlation and causation by Evans et al. Wed: Poster: Controlling for Context using Standardization by Schield Slides Video (5 min) Thurs: 11:45 Building Q/L among Social Justice Oriented Students by Bettinger Martinez (SFSU 2019: July 28-Aug 1: JSM Denver. ISLP Session (Jan) Schield: Statistical Literacy: A Study of Confounding 2019: May 16-18. USCOTS. State College Pennsylvania Schield's Workshop: 2019: Aug 13-16. IASE Satellite Conference. Kuala Lumpur. Malaysia 2019: July 27-Aug 1. ASA JSM Denver, Colorado QL = Q/L = Quantitative Literacy, QR = Q/R = Quantitative Reasoning, S/L = SL = Statistical Literacy, S/R = SR = Statistical ReasoningAuthorsPopular|StatLitNews|Authors-Academic|StatisticalLiteracy|Numeracy|StatisticalReasoningThis site was last updated08/25/21 n

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