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  • This short article begins with a brief explanation of 3D barcodes (what they are and how they are used), and then provides an argument for why statistics should be studied and how statistics is a part of everyday life. Several links are shared for other resources related to teaching and learning statistics, in addition to a link to a career options in statistics.
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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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  • Webinar presented September 12, 2006 by Brian Jersky, St. Mary's College, and Robert Gould, UCLA, and hosted by Jackie Miller, The Ohio State University. This webinar discusses resources available to educators to assist them in crafting lesson plans that meet the GAISE. The presenters briefly explain the GAISE, which were endorsed by the American Statistical Association and also the National Council of Teachers of Mathematics, and demonstrate various resources offered through CAUSEweb and other channels.

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  • October 10, 2006 webinar presented By John Holcomb, Cleveland State University, and hosted by Jackie Miller, The Ohio State University. This webinar presents a quick overview of assessment methods related to student writing assignments and data analysis projects. Beginning with short writing assignments, Dr. Holcomb progresses through a range of different approaches to projects at the introductory course level. On-line resources containing existing project ideas will be shown along with ideas for creating one's own projects. The webinar also discusses several approaches to evaluating the range of assignments.

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  • November 14, 2006 webinar presented by Chrstine Franklin, University of Georgia, and Jessica Utts, University of California and hosted by Jackie Miller, The Ohio State University. In 2005 the American Statistical Association endorsed the recommendations of a report written by leading statistics educators, called "Guidelines for Assessment and Instruction in Statistics Education" (GAISE). The report had two parts - one for K-12 and one for the college introductory statistics course. In this webinar, two members of the report-writing team review the recommendations in the report, and provide suggestions for how to begin to implement them.

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  • Always expect to find at least one error when you proofread your own statistics. If you don't, you are probably making the same mistake twice. Quote of american demographer Cheryl Russell appearing in "Rules of Thumb" by Tom Parker (Houghton Mifflin, 1983) p. 124. Also to be found in "Statistically Speaking the dictionary of quotations" compiled by Carl Gaither and Alma Cavazos-Gaither p. 81
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  • BrightStat is a free online application for statistical analyses. Besides many non-parametric tests, BrightStat offers multiple linear regression, logistic regression, ANOVA and repeated measurements ANOVA as well as Kaplan Meier Survival analysis. BrightStat has an easy to use GUI and supports the creation of mostly used scientifc graphs such as line-, bar-, scatter- and box-plots as well as histograms.

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