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Statistical Topic

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  • A song that reviews several statistical topics written by University of Texas at El Paso professor Lawrence M. Lesser. The song is a parody of "We Are the Champions" written by Freddy Mercury that was popularized by the British rock group Queen in their 1977 Album "ewe of the World."
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  • Partial to You (A multiple Regression Love Song) is an original song about partial correlation in multiple regression by University of Texas at El Paso Professor Lawrence Mark Lesser. The song won third place in the song category in the 2013 CAUSE A-Mu-sing contest. Dr. Lesser sings the song in the accompanying MP3 audio file.
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  • A song that might be used in pre-service courses for statistics teachers (or professional development workshops) to point out why using technology is preferred to training students to use Normal Probability Tables. The lyrics were composed by Robert Carver of Stonehill College. May be sung to the tune of the "Empty Chairs at Empty Tables" written by Schoenberg and Kretmer for the play Les Miserables. The lyrics won an honorable mention in the CAUSE 2013 A-Mu-sing contest. Musical accompaniment realization and vocals are by Joshua Lintz from University of Texas at El Paso.
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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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  • Data is the sword of the 21st century, those who wield it well, the Samurai. is a quote from American businessman Jonathan Rosenberg, the Senior Vice President of Product Management at Google Inc. The quote appeared in "The Official Google Blog" on February 16, 2009
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  • Averages don't always reveal the most telling realities. You know, Shaquille O'Neal and I have an average height of 6 feet. is a quote from American political economist and former Secretary of Labor, Robert B. Reich (1946 - ). The quote was first published on October 6, 1994 in the Business section of "The Chicago Tribune". Robert Reich is 4 foot 10 inches tall. (Picture of Robert Reich is by Michael Collopy)
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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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  • A cartoon to help in teaching the importance of labeling the axes of a graph. The cartoon is number 833 from the webcomic series at xkcd.com created by Randall Munroe. Free to use in the classroom and on course web sites under a creative commons attribution-non-commercial 2.5 license.
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  • 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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  • October 12, 2010 T&L webinar presented by George Cobb(Mount Holyoke College) and hosted by Leigh Slauson (Capital University). What's the best way to introduce students of mathematics to statistics? Tradition offers two main choices: a variant of the standard "Stat 101" course, or some version of the two-semester sequence in probability and mathematical statistics. I hope to convince participants to think seriously about a third option: the theory and applications of linear models as a first statistics course for sophomore math majors. Rather than subject you to a half-hour polemic, however, I plan to talk concretely about multiple regression models and methodological challenges that arise in connection with AAUP data relating faculty salaries to the percentage of women faculty, and to present also a short geometric proof of the Gauss-Markov Theorem.
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