This cartoon caption can be used in discussing how modern tools in data science might help with drawing inferences from data gathered by nontraditional means. The cartoon was used in the November 2024 CAUSE cartoon caption contest and the winning caption was written by Jim Brumbaugh-Smith from Manchester University. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.
This cartoon caption can be used in discussing the importance of providing information about the variability associated with estimates of effects. The cartoon was used as one of two cartoons in the September 2024 CAUSE cartoon caption contest and the winning caption was written by Charlie Smith from North Carolina State University. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.
This cartoon caption is intended to emphasize the theme that whether we're looking at climate data or any other field, recognizing and managing variation is key to drawing meaningful insights from data and making reliable forecasts. The cartoon was used in the October 2023 CAUSE cartoon caption contest and the winning caption was written by Ian Bang, a student at the Friends Seminary in New York City. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.
This poem by Kelly Godwin from Cal Poly, San Luis Obispo, is a parody of Robert Frost's popular 1915 poem "The Road Not Taken" and took first place in the poetry category of the 2021 A-mu-sing Contest. The poem is designed to facilitate discussions of the advantages of Bayesian inference methodology.
A joke written by Evan Wimpey from Elder Research, Inc. that took first place in the Joke/Cartoon category of the 2021 A-mu-sing Contest. The joke may be used in discussing fundamentals of Bayesian inference and to challenge students to describe what it might mean to have a "weak prior" in the situation in the joke.
The CI Hammer video is part of a series of musical summary reviews of different statistical and data science topics by Professor Rafael de Andrade Moral from Maynooth University in Ireland, including a set of three that won the grand prize in the 2021 A-mu-sing Contest.
The lyrics reviewing Confidence Intervals and associated learning objectives were written and the video was produced and performed by Dr. Moral, while the music may be sung to the tune of Ghost's 2016 hit “Square Hammer.”
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.
A cartoon that can be used in discussing how choosing an appropriate sample size must balance budget and logistics along with statistical power. The cartoon was used in the April 2023 CAUSE cartoon caption contest and the winning caption was written by retired AP Statistics teacher Jodene Kissler. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University. An alternate caption for the cartoon might be “The Negative Correlation Moving Company had trouble holding on to their shorter employees,” that can be used to discuss the difference between positive and negative associations.
A cartoon that can be a vehicle to discuss the value of approximations in statistical inference and the need to check the fit of models. The cartoon was used in the October 2022 CAUSE cartoon caption contest and the winning caption was written by Eric Vance, from University of Colorado in Boulder. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.
A cartoon providing a nice way to introduce the value of data mining for finding patterns in data but not as a gold standard for inference. The cartoon was used in the July 2020 CAUSE cartoon caption contest and the winning caption was written by Charles Eugene Smith from North Carolina State University. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.