This music video describing the problem with extrapolating beyond the range of the data in making predictions was created by Mary McLellan, a teacher at Aledo High School in Texas, who wrote the lyric and performed and produced the video. The song is sung to the tune of the 1984 Bruce Springsteen hit “Born in the U.S.A.” The song was part of a pair of songs that took third place in the 2019 A-mu-sing Contest.
The lyrics and music for this rap were written by Parker Kain, an undergraduate student at Northern Kentucky University, that took second place in the Song/Video category of the 2019 A-mu-sing contest (Parker Kain also performed the song at the banquet of the 2019 USCOTS). The song facilitates discussion of the different components of a confidence interval (estimate, margin of error, and confidence multiplier) and interpreting the interval properly and in the context of the real world problem under study.
This cartoon was created by Jashandeep Nijjar and Ajandan Nandakumar, undergraduate students from the University of Toronto at Mississauga, and took second place in the 2019 A-mu-sing Contest. The cartoon is designed to help in teaching about a type of bias in sample surveys. It depicts a situation when a satisfaction survey about a restaurant is given out on the grand opening night when they are giving out free food and thus, spuriously gives highly positive results about the restaurant's quality.
This cartoon was created by Martha Pienkowski, an undergraduate student at the University of Toronto at Mississauga, and won an honorable mention in the 2019 A-mu-sing Contest. The cartoon reviews a comparison about the assumptions and use among various hypothesis test methods. The cartoon compares the z-test, the t-test, and nonparametric alternatives like the sign test and the Wilcoxon test in paired and unpaired situations.
This poem was written by undergraduate students Gill Marjorie Onate and Muzaffar Bhatti from University of Toronto Mississauga, and was given an honorable mention in the poetry category of the 2019 A-mu-sing competition. The poem is designed to aid discussions about when a nonparametric test might be used instead of a normal theory test and the difference between paired and unpaired data.
This cartoon is a meme created by Amy Finnegan from Duke University that received an honorable mention in the 2019 A-mu-sing Contest. The meme can be used to facilitate class discussions of the difference between an estimate being precise versus being accurate. The dog represents an estimate and the dog bed represents the target (parameter). When the dog is curled up that would indicate high precision and when the dog is spread out that would represent low precision. When the dog is in the bed that would indicate accuracy and when the dog is not in the bed, that would indicate lack of accuracy. (Note: in classes where the language of “reliability” is used instead of “precision,” the meme can be renamed Accuracy vs Reliability and the representations in discussions should then be changed accordingly.)
The lyrics and music for this video were written by Greg Crowther, from Everett Community College in Washington and the performance in the video is by Monty Harper and Friends © 2019. The video took first place in the 2019 A-mu-sing Contest. The lyrics were inspired by the blog post "Reading Clickbait | Stats Chat" and is designed to encourage students to think about whether a study makes sense and is giving believable results.
This cartoon was drawn in the style of Randall Munroe's xkcd web comic by Tubba Babar, a student from University of Toronto Mississauga and won second place in the cartoon category of the 2019 A-mu-sing Contest. The cartoon can be used in discussing the difference between correlation and causation and the fact that observational relationships can often not distinguish between "A implies B" and "B implies A". The graphic in the cartoon shows two things rising in prevalence over the same period of time. Thus, it can be used to discuss how many things have changed in the same direction over time, forming a vast number of spurious correlations.
This cartoon was created Jona Gjevori and Ahmed Salam, when they were undergraduate students at the University of Toronto at Mississauga. The cartoon won an honorable mention in the 2019 A-mu-sing Contest and is designed to humorously facilitate the discussion of issues of generalizing to the population of interest (e.g. in generalizing results in animal students to assume validity for humans without further testing).
This cartoon was created by Austin Boyd from University of Tennessee and took first place in the cartoon category of the 2019 A-mu-sing Contest. The cartoon provides a humorous way to facilitate conversation about the multiple comparisons caveat (that the chance of getting at least one significant result grows with the number of things being tested) and the large sample caveat (that it is more likely to see small p-values with smaller effect sizes when you have a larger sample size).