Resource Library

Song about the pleasure of teaching statistics when the class is engaged. May be sung to the tune of John Lennon and Paul McCartney's 1963 song "I Want to Hold Your Hand." Lyrics by Armin Schwartzman (December, 2003). This song is part of the "Stanford Statistics Songbook" found at www.bscb.cornell.edu/~hooker/StanfordStatisticsSongbook.pdf Free to use for non-commercial educational purposes. Contact author to use in publications or for commercial purposes. Musical accompaniment realization and vocals are by Joshua Lintz from University of Texas at El Paso.

Song covering a variety of statistical topics. May be sung to the tune of John Lennon's 1969 song "Give Peace a Chance." Lyrics by Armin Schwartzman (December, 2003). This song is part of the "Stanford Statistics Songbook" found at www.bscb.cornell.edu/~hooker/StanfordStatisticsSongbook.pdf Free to use for non-commercial educational purposes. Contact author to use in publications or for commercial purposes. Musical accompaniment realization and vocals are by Joshua Lintz from University of Texas at El Paso.

Song about the benefits of the Bayesian approach to statistics. May be sung to the tune of Sonny and Cher's 1965 song "I Got You Babe." Lyrics by Matthew Finkelman (December, 2003). This song is part of the "Stanford Statistics Songbook" found at www.bscb.cornell.edu/~hooker/StanfordStatisticsSongbook.pdf Free to use for non-commercial educational purposes. Contact author to use in publications or for commercial purposes. Musical accompaniment realization by Joshua Lintz male vocals by Joshua Lintz and female vocals by Marianna Sandoval from University of Texas at El Paso.

A joke about the tendency for Math and Statistics textbooks to have an abundance of homework style problems.

A cartoon to teach about the value of confidence intervals compared with just giving a point estimate. 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.

A cartoon to teach the idea that patterns will appear in data if you observe enough data at random. The cartoon plays on the famous "million monkeys typing Shakespeare" problem. Extensions of that problem have many applications. For example, allowing for random letters to be randomly changed and then fixed when they agree with the desired text have applications to modeling molecular evolution. 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.

A cartoon to teach about one difficulty in conducting education research arising from problems in obtaining reliable and valid endpoints. 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.

A cartoon to teach about the interpretation of confidence statements. The cartoon plays on the idea of what would happen if the same process was repeated over-and-over again. 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.

A cartoon to teach about the need for statistical techniques in drawing out the salient features in massive data sets. 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.

A sketch by Anastasia Mandel reinterpreting "Boy Viewing Mount Fuji" by Katsushika Hokusai (1839) with the statistical caption "Laplace distribution in the Far East." This is part of a collection of sketches by Anastasia Mandel and their accompanying statistical captions written by Stan Lipovetsky and Igor Mandel that took first place in the cartoon & art category of the 2009 A-Mu-sing contest sponsored by CAUSE. The collection and their accompanying statistical captions discussed in the paper "How art helps to understand statistics" (Model Assisted Statistics and Applications, 2009) by Stan Lipovetsky and Igor Mandel in volume 4 pages 313-324. Free to use in classrooms and on course websites.