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  • A quote to initiate discussions of model building By British Statistician and Epidemiologist Hilda Mary Woods (1892-1971). The quote is from her paper "The influence of external factors on the mortality from pneumonia in childhood and later adult life" in the Journal of Hygiene 1927 pages 36-43 (quote is on page 42).
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  • This is an e-book tutorial for R. It is organized according to the topics usually taught in an Introductory Statistics course. Topics include: Qualitative Data; Quantitative Data; Numerical Measures; Probability Distributions; Interval Estimation; Hypothesis Testing; Type II Error; Inference about Two Populations; Goodness of Fit; Analysis of Variance; Non-parametric methods; Linear Regression; and Logistic Regression.
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  • A cartoon to be used for discussing the normality assumption in statistical models. The cartoon was used in the September 2016 CAUSE Cartoon Caption Contest. The winning caption was submitted by Eugenie Jackson, a student at University of Wyoming while the drawing was created by John Landers using an idea from Dennis Pearl. A second winning caption was by Amy Nowacki from Cleveland Clinic/Case Western Reserve University whose entry “The dangers of driving more than 3 standard deviations below the speed limit,” would be useful in a classroom discussion of z-scores (see "Cartoon: Pile-UP II") Honorable mentions that rose to the top of the judging in the September caption contest included “Big pile-up at percentile marker -1.96 on the bell-curve. You might want to take the chi-square curve to avoid these negative values,” written by Mickey Dunlap from University of Tennessee at Martin; “Call the nonparametric team! This is not normal!” written by Semra Kilic-Bahi of Colby-Sawyer College; “I assumed the driving conditions today would be normal!” written by John Vogt of Newman University; and “CAUTION: Z- values seem smaller than they appear. Slow down & watch for stopped traffic reading these values,” written by Kevin Schirra, a student at University of Akron.
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  • A short joke that might be used in discussing the common statistical model that observations follow different normal curves under different treatments. The joke was written by Lawrence Lesser from University of Texas at El Paso in 2016.
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  • A song to teach the basic idea of Analysis of Variance - comparing the variance between groups to the variance within groups. May be sung to the tune of the classic Christmas song "Santa Claus is Coming to Town" (John Frederick Coots and Haven Gillespie). The lyrics were written by Dennis Pearl of Penn State University. Musical accompaniment realization and vocals are by Joshua Lintz from University of Texas at El Paso.
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  • A video to teach about principles of Analysis of Variance. The lyrics and video were created by Scott Crawford from the University of Wyoming. The music is from the 1984 song "Hallelujah" by Canadian songwriter Leonard Cohen. The video took third place in the video category of the 2013 CAUSE A-Mu-sing competition. Free for non-profit use in classroom and course website applications.
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  • If the experiments be quite simple the question may be without great importance; but when their requirements as to time or expenditure come into account the problem arises, how the observations should be chosen in order that a limited number of them may give the maximum amount of knowledge. is a quote by Danish Statistician Kirstine Smith (1878 - 1939). The quote appears in the introduction to her 1918 article on optimal experimental design in the journal Biometrika (the first such article in the literature).
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  • If we have data, let's look at data. If all we have are opinions, let's go with mine. is a quote by American entrepreneur James Love Barksdale (1943 - ) former president and CEO of Netscape Communications.
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  • Oh, well, this would be one of those circumstances that people unfamiliar with the law of large numbers would call a coincidence. is a quote spoken by Sheldon Cooper (2007 - ) a character on the CBS comedy show "The Big Bang Theory" played by Jim Parsons (1973 - ). The quote occurred in Season 1 episode 4 that first aired in October, 2007.
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  • ... if the difference isn't different enough to make a difference, what's the difference? is a quote by American agricultural statistician Victor Chew (1923 - ). The quote is found in his 1980 paper "Testing differences among means: correct interpretation and some alternatives" ("HortScience" pages 467-470). The quote can be used in discussions of practical significance versus statistical significance.
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