High School

  • A song about the fit of linear regression, describing the difference between observed and fitted values and related aspects. May be sung to the tune of "Mexican Hat Dance" (traditional). Recorded June 26, 2009 at the OSU Whisper Room: Larry Lesser, vocals/guitar; Justin Slauson, engineer. This song is part of an NSF-funded library of interactive songs that involved students creating responses to prompts that are then included in the lyrics (see www.causeweb.org/smiles for the interactive version of the song, a short reading covering the topic, and an assessment item).

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  • Song calls for the importance of chance, juxtaposed a variety of statistical terms. May be sung to the tune of "Give Peace a Chance" (John Lennon). Musical accompaniment realization and vocals are by Joshua Lintz from University of Texas at El Paso.
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  • Song contains concepts and terms associated with linear regression. May be sung to the tune of "I Walk the Line" (Johnny Cash). Musical accompaniment realization and vocals are by Joshua Lintz from University of Texas at El Paso.

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  • A cartoon that can be used in teaching about the efficiency of using simulation in statistics. Cartoon 2006 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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  • He uses statistics as a drunken man uses lamp-posts ... for support rather than illumination. A quote attributed to scottish writer Andrew Lang (1844-1912) in Evan Esar's "The Dictionary of Humerous Quotations". Dell Publishing, 1943. The quote also appears in "Statistically Speaking: A dictionary of quotations" compiled by Carl Gaither and Alma Cavazos-Gaither.
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  • Thirty years ago I was diagnosed with motor neurone disease, and given two and a half years to live. I have always wondered how they could be so precise about the half. A quote from a BBC interview (February 18, 1996) of theoretical physicist Stephen William Hawking (1942 - 2018).

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  • This page discusses the differences in parametric and nonparametric tests and when to use then.
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  • This page discusses the proper procedures for multiple comparison tests and reasons behind them.
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  • This collection of tutorials covers many statistical applications such as Pearson's Correlation Coefficient, Simple Linear Regression, One and Two Sample t-tests, Paired t-test, One-way Analysis of Variance (ANOVA), Mann-Whitney Test, Kruskal-Wallis Test, Friedman's Test, Interpreting p-values, Comparing two groups, Parametric and Nonparametric analyses, and Multiple Comparisons. The tutorials refer to the WINKS statistical software program, but they are useful for those who do not have access to WINKS.
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  • This website is provides an online text version of Grinstead & Snell's "Introduction to Probability" as well as supplemental reference information.

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