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College --Undergrad Lower Division

  • A song for teaching about the importance of penalized regression methods (ridge regression, LASSO, etc...). The song was written by Bradley Turnbull, Joe Usset, Sidd Roy, and Kyle White who, along with Kristin Linn and Jason Osborne, form the North Carolina State University Statistics Department Graduate Student band, "The Fifth Moment". The lyrics may be sung to the tune of the 2008 hit "Shake It" by the American pop group "Metro Station". "Shrink It" also won an honorable mention in the 2013 CAUSE A-Mu-sing competition. Available for free use in non-profit education settings.
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  • A song for teaching about the Cramer Rao Lower Bound for the variance of an unbiased estimate. The lyrics were written by Kyle White and Bradley Turnbull from North Carolina State University as a parody of the 2003 track "Jerk It Out" by the Swedish band "Caesars". The song won first prize in the song category in the 2013 CAUSE A-Mu-sing competition and is performed by "The Fifth Moment", an NCSU graduate student band (Kristin Linn, Jason Osborne, Siddharth Roy, Bradley Turnbull, Joseph Usset, and Kyle White). Free for use in non-profit education settings.
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  • A song to help students confront the "equiprobability bias". Lyrics and music were written by Lawrence Mark Lesser of University of Texas at El Paso. The song won an honorable mention in the 2013 CAUSE A-Mu-sing competition. Free for use in non-profit education settings.
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  • A song to teach about Benford's Law for the probability distribution of first digits in real data. The lyrics are copyright by Lawrence Mark Lesser as a parody of Harry Nilsson's "One" made popular in 1969 by "Three Dog Night". "One is the Likeliest Number" was first published in the Spring 2011 issue of "Teaching Statistics". Free for use in non-profit education settings. Musical accompaniment realization and vocals are by Joshua Lintz from University of Texas at El Paso.
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  • A cartoon for use in celebrations of Random Acts of Kindness Day which is an unofficial holiday in many countries typically celebrated in Febraury. Cartoon by John Landers (www.landers.co.uk) based on the suggested illustrating text and concept from Larry Lesser (The University of Texas at El Paso). The cartoon was first displayed on the website http://www.worldofstatistics.org on Random Acts of Kindness day in February 2014. Free to use in the classroom and on course web sites or other non-profit teaching uses.
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  • This simulation illustrates least squares regression and how the least squares solution minimizes the sum of the squared residuals. The applet demonstrates, in a visual manner, various concepts related to least squares regression. These include residuals, sum of squares, the mean line, how the line of best fit is determined, and how the line of least squares solution minimizes the sum of the squared residuals.

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  • The WISE Bootstrapping Applet can be used to demonstrate bootstrapping by creating a confidence interval for a population mean or median. The user can manipulate the population distribution, sample size, and number of resamples. An associated guide gives suggestions for teaching bootstrapping.
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  • A collection of Statistics related Haikus collected by Nicholas Horton from his Math 190 (statistical Methods for Undergraduate Research) course at Smith College in Spring, 2010. These are included in the Statistics Haiku Project at http://www.math.smith.edu/~nhorton/haikustat.html

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  • A joke to use when teaching about choices of binary response data models like the Logistic or Probit models by University of Texas at El Paso professor of Mathematical Sciences, Lawrence Mark Lesser (1964-).
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  • The conception of chance enters in the very first steps of scientific activity in virtue of the fact that no observation is absolutely correct. I think chance is a more fundamental conception that causality; for whether in a concrete case, a cause-effect relation holds or not can only be judged by applying the laws of chance to the observation. is a quote by German and British nobel prize winning physicist Max Born (1882 - 1970). The quote appears in his 1949 book "Natural Philosophy of Cause and Chance" published by Clarendon Press.
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