Herb Weisberg 
10/24/16Milo Schield, Editor 

2016 July:Offering STAT 102: Social Statistics for Decision Makers. Schield IASE Roundtable in Berlin. 2016 Sept: A Field Guide to Lies: Critical Thinking in the Information Age by Daniel Levitin. Table of Contents and Introduction 2016 March: Seven Pillars of Statistical Wisdom by Stephen M. Stigler. "What gives statistics its unity as a science? Stephen Stigler sets forth the seven foundational ideas of statistics―a scientific discipline related to but distinct from mathematics and computer science." "I will not try to tell you what statistics is  or is not. I will attempt to formulate seven principles, seven pillars that have supported our field in different ways in the past and promise to do so into the indefinite future." TOC 1. Aggregation: From Tables and Means to Least Squares 2. Information: Its Measurement and Rate of Change 3. Likelihood: Calibration on a Probability Scale 4. Intercomparison: WithinSample Variation as a Standard 5. Regression: Multivariate Analysis, Bayesian Inference and Causal Inference 6. Design: Experimental Planning and the Role of Randomization 7. Residual: Scientific Logic, Model Comparison and Diagnostic Display. "The usefulness of [these] seven basic statistical ideas: 1. The value of targeted reduction or compression of data. 2. The diminishing value of an increased amount of data. 3. How to put probability measuring stick to what we do. 4. How to use internal variation in the data to help in that. 5. How asking questions from different perspectives can lead to revealingly different answers. 6. The essential role of the planning of observations. 7. How all these ideas can be used in exploring and comparing competing explanations in science. 2016 Feb: Quantitative Research Methods by T. R. Knapp. 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 2015 August: Statistical Inference for Managers. Milo Schield. ASA JSM 6up 1up 2015 July: Added StatLit.org webpage for Jerome Cornfield. The Improbability Principle: Why Coincidences, Miracles, and Rare Events Happen Every Day by David Hand. TOC:1 The Mystery; 2 A Capricious Universe; 3. What is Chance? 4 The Law of Inevitability; 5 The Law of Truly Large Numbers; 6 The Law of Selection; 7 The Law of the Probability Lever; 8 The Law of Near Enough; 9 The Human Mind; 10 Life, the Universe and Everything; 11 How to Use the Improbability Principle. What is wrong with THE Introductory Statistics Course. Schield USCOTS 2015. Statistical Literacy roundtable New classroom video: Statisticians: Making our World a Better Place. Schield 2015 USCOTS. 4.5 minutes April 29: Congratulations go to Tyler VanderWeele, winner of the 2015 ASA “Causality in Statistics Education Award” for his book “Explanation in Causal Inference” (Oxford, 2015). The award ceremony will take place at the 2015 JSM conference, August 813, in Seattle. Another good news, Google has joined Microsoft in sponsoring next year’s award, so please upgrade your 2016 nominations. For details of nominations and selection criteria, see www.amstat.org/education/causalityprize/. Source: www.mii.ucla.edu/causality/?m=201504 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 overwhelming. But this is more than just a history book on statistics. Weisberg has a point to make  that statisticians have mismeasured uncertainty! And this mismeasurement 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 nonAP Stats. 2012 Am. Freshman Spurious Correlations (More than 9,000 computergenerated 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 Crosscorrelation. Editor] 2014 10: Highest Monthly Downloads: October had 45,000 downloads from this site: the highest number in our tenyear 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 "CreateLognormalExcel2013" 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. Judea Pearl (above) sponsors ASA Causality in Statistical Education Award. The committee is pleased to announce that a gift from Microsoft Research will enable the prize to double in 2015. A $10,000 prize or two $5,000 prizes will awarded this year. For additional information about the award, see the 2012 announcement, the 2013 winner and the 2014 winner. Nominations and questions should be sent to the ASA office at educinfo@amstat.org. The nomination deadline is February 15, 2015. Visit www.amstat.org/education/causalityprize/ for nomination information. 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 nonquantitative 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 nonquantitative majors." By Milo Schield in "Assessing Statistical Literacy: Take CARE" Ch 11 in Assessment Methods in Statistical Education, pp. 133152. Wiley 2010 Schield 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

QL = Q/L = Quantitative Literacy, QR = Q/R = Quantitative Reasoning, S/L = SL = Statistical Literacy, S/R = SR = Statistical Reasoning
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