Resource Library

November 14, 2006 webinar presented by Chrstine Franklin, University of Georgia, and Jessica Utts, University of California and hosted by Jackie Miller, The Ohio State University. In 2005 the American Statistical Association endorsed the recommendations of a report written by leading statistics educators, called "Guidelines for Assessment and Instruction in Statistics Education" (GAISE). The report had two parts - one for K-12 and one for the college introductory statistics course. In this webinar, two members of the report-writing team review the recommendations in the report, and provide suggestions for how to begin to implement them.

A song for teaching concepts about regression and correlation written by Alan Reifman, Department of Human Development and Family Studies, Texas Tech University. The lyrics may be sung to the tune of Tommy James and Bod King's 1971 song "Draggin' the Line." Musical accompaniment realization and vocals are by Joshua Lintz from University of Texas at El Paso.

This song describes the benefits of using a prior distribution to capture information already known about a topic under study. The lyrics are by Mark Glickman and may be sung to the tune of The Shocking Blue's 1969 song "Venus." The accomanying mp3 recording was produced on May 17, 2008 (Mark Glickman - vocal and guitar)

A cartoon to teach the idea that the mean is affected by outliers while the median is not. 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.

This song describes the pitfalls of using a steep prior in a Bayesian analysis that is not based on an underlying understanding of the problem. The lyrics were written by Mark Glickman and may be sung to the tune of The Four Seasons' 1975 song "December, 1963 (Oh What a Night)" written by Bob Gaudio and Judy Parker. The mp3 was recorded July 9, 2008 (Mark Glickman - vocals).

Oops! ... I Picked the Wrong Test is a 4 minute, 12 second video that provides a fun review of common mistakes made in conducting hypothesis tests. The video was first sung for students in a Psychology class at the University of Oregon. The singer is Jennifer Simonds, Ph.D. of Westminster College in Salt Lake City Utah (where the video was filmed). The song is a parody of "Oops ... I did it again" by Britney Spears (2000). Characters: Britney Spearman - Jennifer Simonds, Chuck - Chuck Tate, Frustrated Professor - Bill Bynum, Dancers - Cressa Perloff (dance captain), Kathleen Ware, and Mariah Mercer. Credits: Lyrics, vocals, directions, and production by Jennifer Simonds; Recording and Sound Engineering by Ted Sablay; Final Cut Consulting by Zelda Randazzo; Audio Sync Assistance by Lizzie Randazzo; Camera Work and Props by Amy Fairchild. This video won the overall Grand Prize in the 2009 CAUSE A-Mu-sing contest.

A statistics scramble that might be used in teaching about the relationship between the mean and the median in a skewed distribution. A set of five anagrams must be solved to reveal the letters that provide the answer to the clue in the cartoon. The cartoon was drawn by British cartoonist John Landers based on an idea by Dennis Pearl. Free for use on course websites, or as an in-class, or out-of class exercise.

A statistics scramble that might be used in teaching goodness-of-fit significance tests. A set of five anagrams must be solved to reveal the letters that provide the answer to the clue in the cartoon. The cartoon was drawn by British cartoonist John Landers based on an idea by Dennis Pearl. Free for use on course websites, or as an in-class, or out-of class exercise.

A set of twenty statistics anagrams that might be used for an end of semester terminology review. This collection of anagrams appeared in the article "Even More Fun Learning Stats" by Lawrence M. Lesser in issue #49 (2007) of "Stats" magazine (pp.5-8,19, 27).

Who says a statistics teacher can't play a `mean` guitar ... with X-barre chords? Quote by University of Texas at El Paso professor of Mathematical Sciences, Lawrence Mark Lesser (1964-)