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  • Inside every nonBayesian there is a Bayesian struggling to get out. is a quote by British Bayesian Statistician Dennis V. Lindley (1923- ). The quote is also cited on page 497 of E.T. Jaynes 2003 book "Probability Theory: The Logic of Science".
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  • Avoid Linear extrapolation ... The turkey's first 1000 days are a seemingly unending succession of gradually improving circumstances confirmed by daily experience. What happens on Day 1001? Thanksgiving. The quote is by John E. Sener (1954 - ) of Sener Learning services found in the on-line article "Strategies for Effective `20/20 Vision` -- #1: Avoid Linear Extrapolation" at www.senerlearning.net/?q=node/176. The quote is paraphrasing the turkey metaphor made famous by Bertrand Russell and Nassim Nicholas Taleb.
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  • This joke can be used in a discussion of how sample size affects the reliability of the sample mean. The joke may be found amongst the extensive Science Jokes resources at www.newyorkscienceteacher.com
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  • In earlier times they had no statistics and so they had to fall back on lies. This is a quote by Canadian economist Stephen Leacock (1869 - 1944). The quote is found on page 265 of his 1938 book "In Model Memoirs and Other Sketches from Simple to Serious"
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  • November 18, 2008 Teaching and Learning webinar presented by Xiao-Li Meng, Harvard University and hosted by Jackie Miller, The Ohio State University. Statistics 105 is a team-designed course that has received local media attention (e.g., www.news.harvard.edu/gazette/2008/02.14/11-stats.html). Its course description promises the following: Discover an appreciation of statistical principles and reasoning via "Real-Life Modules" that can make you rich or poor (financial investments), loved or lonely (on-line dating), healthy or ill (clinical trials), satisfied or frustrated (chocolate/wine tasting) and more. Guaranteed to bring happiness (or misery) both to students who have never taken a previous statistics course, and to those who have taken statistics and want to see how statistical thinking applies to so many areas of life. This webinar reveals its history, pedagogical motivation, innovations, and challenges along the way
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  • June 9, 2009 Teaching and Learning webinar presented by Dalene Stangl, Duke University, and hosted by Jackie Miller, The Oho State University. This webinar presents the core materials used at Duke University to teach Bayesian inference in undergraduate service courses geared toward social science, natural science, pre-med, and/or pre-law students. During the semester this material is presented after completing all chapters of the book Statistics by Freedman, Pisani, and Purves. It uses math at the level of basic algebra.
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  • Let me throw a mathematical dilemma at you - there`s 500 left. Well how come the odds of you winning are a million to one? is a quote by British TV personality Simon Cowell (1959 - ). Cowell said this to a contestant on the British TV talent competition "Pop Idol" on October 5, 2001.
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  • Statistics has been the handmaid of science, and has poured a flood of light upon the dark questions of famine and pestilence, ignorance and crime, disease and death. This is a quote from James A. Garfield, the 20th President of the United States. The quote came in a speech delivered in the House of Representatives on December 16, 1867 in which Garfield (then a congressman) was arguing for the value of a broad and scientifically sound census. The quote is found on page 216 of the 1881 book "The Life and Work of James A. Garfield," by John Clark Ridpath.
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  • For every fact there is an infinity of hypotheses. is a quote by American writer Robert M. Pirsig (1928 - ). The quote is found on page 171 of his 1974 book "Zen and the Art of Motorcycle Maintenance: An Inquiry into Values".
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  • Hypotheses like professors, when they are seen not to work any longer in the laboratory, should disappear. This is a quote by British chemist and chemistry education pioneer Henry Edward Armstrong (1848 - 1937). The quote is found in Sir Harold Hartley's chapter on Armstrong in his 1971 book "Studies in the History of Chemistry".
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