This cartoon caption can be used to discuss how the interpretation of data must be informed by a knowledge of the how the data was generated. The cartoon was used in the May 2025 CAUSE cartoon caption contest and the winning caption was written by Sara Colando, a student at Carnegie Mellon 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 to discuss concepts about the probability of the intersection of two events. The cartoon was used in the April 2025 CAUSE cartoon caption contest and the winning caption was written by Cigdem Sirin from The University of Texas at El Paso. 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 to illustrate the idea that over-cleaning or over-smoothing messy data may risk the loss of important information and yield a misleading characterization of the data. The cartoon was used in the March 2025 CAUSE cartoon caption contest and the winning caption was written by Jerry Nedelman from the TB Alliance. 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 to illustrate the difference between continuous and discrete distributions. The cartoon was used in the February 2025 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.
This cartoon caption can be used in discussing how simple random sampling can be improved upon by taking obvious explanatory factors into account. The cartoon was used in the October 2024 CAUSE cartoon caption contest and the winning caption was written by high school student Jackson Lin, from North Carolina School of Science and Mathematics. 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 impact of outliers/influential points on inferential procedures. The cartoon was used in the August 2024 CAUSE cartoon caption contest and the winning caption was written by Kylee Regennitter, a student at University of Nebraska in Lincoln. 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 illustrates the idea that an inappropriate process of collecting data may be a confounder in its interpretation. The cartoon was used in the March 2024 CAUSE cartoon caption contest and the winning caption was written by Grant Zou a student at the University of Virginia. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.
The Tidyverse Song 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 the use of R Tidyverse data processing packages 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 Coldplay's 2011 hit “Paradise.”
The script and performances in this video were by students Emelie Andersson and Seongyun (Harry) Lee from the University of Toronto and took an honorable mention in the Song/Video category of the 2019 A-mu-sing Contest. The video is designed to facilitate discussion of the strength of evidence in observational studies.
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.