A cartoon to spark a discussion about the normal equations in the matrix approach to linear models. The cartoon was created by Kylie Lynch, a student at the University of Virginia. The cartoon won first place in the non-song categories of the 2023 A-mu-sing competition.
A song presenting common hypothesis tests and the steps in doing them with lyrics by Jamie Tan Xin Yee, Joelyn Chong, Deston Tang, Christine Sia, Nellie Lee, Josiah Tan, and Lee Yi Yuan who were all students at Singapore Management University taught by Rosie Ching Ju Mae. May be sung to the tune of "LOVE" by Bert Kaempfert and Milt Gabler and recorded by Nat King Cole in 1965. The vocals and guitar soundtrack on the audio were done by Joelyn. Editing of the soundtrack was done by the entire student team.The song placed tied for second in the 2023 A-mu-sing competition (see associated publicity).
A song about the value of ANCOVA in adjusting for a covariate. The lyrics were written by Greg Crowther (Everett Community College) and Leila Zelnick (University of Washington) and may be sung to the tune of "You're the One That I Want" by John Farrar and performed by Olivia Newton-John and John Travolta in the movie version of Grease. This parody was performed at the UW Division of Nephrology Grand Rounds on March 18, 2022 and placed tied for second in the 2023 A-mu-sing competition. Backing track purchased from Karaoke-Version.com
A song for teaching about the multiplication rule. Using the popular topic among young adults of relationships, the multiplication principle is memorably illustrated by having Paul Simon's #1 hit song (which states only a half-dozen ways to leave your lover, not 50) revisited to show 50 literal paths for ending a relationship: (5 reasons for the decision) X (5 methods to relay the decision) X (2 options for handling acquired stuff). The lyrics were written by Larry Lesser from The University of Texas at El Paso to the tune of Simon’s same-titled 1975 song. The audio recording features vocals by Abeni Merryweather and production by Abeni Merryweather from UTEP's commercial music program. The song tied for second place in the 2023 A-mu-sing contest.
A poem for encouraging discussion on aspects of making predictions using regression models (e.g. treating possible non-linearity). The poem was written in 2023 by Dane C Joseph from George Fox University in Oregon.
A cartoon to show the misleading nature of graphs with a y-axis scale that does not start at zero (here real data is plotted to make it appear that the population of Dublin, Ireland doubled in a single year between 2021 and 2022). The cartoon was based on an idea by Larry Lesser from The University of Texas at El Paso in May, 2023.
A humorous cartoon by American cartoonist Jon Carter in 2018 which may be used for in-class discussions about interpreting time series plots. The drawing indicates confusion about what each axes represents, since the plot itself indicates the x-axes labels time, but the axes itself says "customer intelligence" and there is no scale on either axesThe cartoon is free to use in non-profit educational settings.
A cartoon that can be helpful as a vehicle to discuss how finding a good data visualization to tell the story of a study’s results is an art – even if it must be combined with the science of statistics to give an appropriate impression. The cartoon was used in the July 2022 CAUSE cartoon caption contest and the winning caption was submitted by John Montagu, a student at University of Colorado, Boulder.. An alternative caption: "While each plot was from a different perspective, it was the aggregation of the plots that told the whole story." was submitted by Jim Alloway from EMSQ Associates, and reinforces the idea that it may take several graphs to give a full picture of a data set.The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.
"WON OVeR" is a poem by Lawrence Mark Lesser from The University of Texas at El Paso. The poem was written in 2022 and originally published in the January 2023 Journal of Humanistic Mathematics. The poem highlights the unexpected occurrence of the constant 1/e in two classic probability problems: “secretary problem”/”marriage problem” and “hats derangement problem”. The poem could be used either to motivate students to learn about those particular problems or to cap things off after working through them.
A joke to teach the idea that the average of independent measurements are more reliable than individual measurements from the same process. The joke should help start a discussion of the importance of the independence assumption in this idea. The joke was written by Dennis Pearl, Penn State University and Larry Lesser, The University of Texas at El Paso in September, 2022.