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  • A classic joke about sample size. This joke apears as joke #45 in Gary C. Ramseyer's First Internet Gallery of Statistics Jokes at http://www.ilstu.edu/~gcramsey/Gallery.html
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  • Joke of unknown authorship quoted in H.H. Friedman, L.W. Friedman, and T. Amoo, "Using Humor in the Introductory Statistics Course," "Journal of Statistics Education" volume 10, #3 (2002)
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  • Song includes facts and connections about the mean while making commentary on typical pop radio love songs. May be sung to the tune of "Silly Love Songs" (Paul McCartney). Appeared in September 2005 "Amstat News" and in November 2005 "The Journal of Irreproducible Results". Musical accompaniment realization and vocals are by Joshua Lintz from University of Texas at El Paso.
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  • Song playfully depicts a college student struggling to master statistics at the hands of authority figures. May be sung to the tune of "Satisfaction" (Mick Jagger, Keith Richards).
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  • A cartoon that can be used in teaching about pie charts. Cartoon by John Landers (www.landers.co.uk) based on an idea from Dennis Pearl (The Ohio State University). Free to use in the classroom and on course web sites.
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  • Song relates basic facts (e.g., its parameters and symmetry) about normal curve and standardized z-scores. May be sung to the tune of "Oh Christmas Tree" (traditional). Musical accompaniment realization and vocals are by Joshua Lintz from University of Texas at El Paso.
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  • Joke from "The Little Black Book of Business Statistics", by Michael C. Thomsett (1990, Amacom) p. 117. also quoted in "Statistically Speaking" compiled by Carl Gaither and Alma Cavazos-Gaither.
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  • This Flash based applet simulates data from a case study of treatments for tumor growth in mice. This simulation allows the user to place mice into a control and treatment groups. The simulation then compares the difference in the groups based on this haphazard selection to those of a truly random assignment (the user may also create multiple random assignments and examine the sampling distribution of key statistics). The applet may be used to illustrate three points about random assignment in experiments: 1) how it helps to eliminate bias when compared with a haphazard assignment process, 2) how it leads to a consistent pattern of results when repeated, and 3) how it makes the question of statistical significance interesting since differences between groups are either from treatment or by the luck of the draw. In this webinar, the activity is demonstrated along with a discussion of goals, context, background materials, class handouts, and assessments. Key Note for Instructors: The data are drawn from a real experiment with an effective treatment but where the response is correlated with animal age and size (so tumor size will tend to be smaller in the treatment group when measured at the end of a randomized experiment but animal age and size should not be). Typically people choosing haphazardly will tend to pick larger/older animals for the treatment group and thus create a bias against the treatment.
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  • This JAVA applet assists the user in developing skills to classify a problem as one of the various types of confidence intervals, hypethesis tests and Chi Squared tests. This is not an easy application, but the comprehensive hints provided will improve the users skills in making such classifications.
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  • This tutorial exposes students to conducting chi-square tests in SPSS. This html based tutorial provides extensive screen shots and an example data set.
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