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  • 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)

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  • 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.

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  • 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).

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  • 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.

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  • 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.

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  • 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.

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  • 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).

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  • 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-)

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  • February 13, 2007 webinar presented by Jim Albert, Bowling Green State University, and hosted by Jackie Miller, The Ohio State University. An introductory statistics course is described that is entirely taught from a baseball perspective. This class has been taught as a special section of the basic introductory course offered at Bowling Green State University . Topics in data analysis are communicated using current and historical baseball datasets. Probability is introduced by describing and playing tabletop baseball games. Inference is taught by distinguishing between a player's "ability" and his "performance", and then describing how one can learn about a player's ability based on his season performance. Baseball issues such as the proper interpretation of situational and "streaky" data are used to illustrate statistical inference.

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  • December 12, 2006 webinar presented by Michelle Everson, University of Minnesota, and hosted by Jackie Miller, The Ohio State University. This webinar focuses on describing an introductory statistics course that is taught completely online. The structure of this course is described, and samples of different student assignments and activities are presented. Assessment data and student feedback about the course are also presented. Discussion focuses on issues that must be considered when developing and administering an online course, such as the instructor's role in the online course and ways to create an active learning environment in an online course.

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