Statistical Inference & Techniques

  • September 14, 2010 T&L webinar presented by Thomas Moore(Grinnell College) and hosted by Jackie Miller(The Ohio State University). Permutation tests and randomization tests were introduced almost a century ago, well before inexpensive, high-speed computing made them feasible to use. Fisher and Pitman showed the two-sample t-test could approximate the permutation test in a two independent groups experiment. Today many statistics educators are returning to the permutation test as a more intuitive way to teach hypothesis testing. In this presentation, I will show an interesting teaching example about primate behavior that illustrates how simple permutation tests are to use, even with a messier data set that admits of no obvious and easy-to-compute approximation.
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  • An animated video for use in a biostatistics or consulting class to spark a discussion about collaborative research. The animation was created using the free software available at www.xtranormal.com and distributed here with permission for non-profit use by statistics teachers in their classes or course websites. The script for the animation was written August 4, 2010 by xtranormal user "JosiesJavaMoma". Requests for commercial use should be directed to xtranormal.com
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  • OStats is a simple tool for data visualisation and statistical analysis, particularly aimed at helping students learn statistics.

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  • This site is a collection of interesting stories in the news that relate to statistics, major league baseball standings, links to textbooks, and links to applets. It also contains some reflections on statistical issues from retired professor John Marden (from University of Illiois at Urbana-Champaign).

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  • This site is a collection of resources related to experiments. The site includes references, resources, and articles related to the scientific method, experimental research, ethics in research, and research design. It also includes tips on writing scientific papers, and there are several statistics tutorials on the site. Another interesting feature of the site is a collection of case studies that include descriptions of famous research studies in fields like social psychology, sociology, physics, biology, and medicine.

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  • Conducting data analysis is like drinking a fine wine. It is important to swirl and sniff the wine, to unpack the complex bouquet and to appreciate the experience. Gulping the wine doesn't work. is a quote by British quantitative cognitive psychologist Daniel B. Wright. The quote is found in his 2003 article "Making friends with your data: Improving how statistics are conducted and reported" in the "British Journal of Educational Psychology", volume 73 page 123-136.
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  • Most real life statistical problems have one or more nonstandard features. There are no routine statistical question; only questionable statistical routines. is a quote by British Statistician Sir David R. Cox (1924 - ). The quote may be found on page 240 in Christopher Chatfield's 1991 article "Avoiding Statistical Pitfalls" in "Statistical Science".
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  • Do not make things easy for yourself by speaking or thinking of data as if they were different from what they are; and do not go off from facing data as they are, to amuse your imagination by wishing they were different from what they are. Such wishing is pure waste of nerve force, weakens your intellectual power, and gets you into habits of mental confusion. is a quote by English mathematician and mathematics educator Mary Everest Boole (1832-1916). The quote is found on page 7 of her 1909 book "Philosophy and Fun of Algebra", (C.W. Daniel, Ltd.) written to bring then modern mathematical ideas to children. The book is available online through Project Gutenberg at www.gutenberg.org/files/13447/13447-pdf.pdf
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  • A cartoon to use when talking about confidence intervals. 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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  • A cartoon to use in teaching about the dangers of extrapolation in the context of predicting the future. 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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