A cartoon that highlights the importance of details in designing an experiment that have important repercussions for one’s ability to interpret the results. The cartoon was used in the May 2022 CAUSE cartoon caption contest and the winning caption was written by Jim Alloway from the EMSQ Associates. 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 that invites conversation about the type of biases that may result from the way a pollster handles the logistics of taking a survey and thus the importance of careful planning. The cartoon was used in the February 2022 CAUSE cartoon caption contest and the winning caption was written by Don Bell-Souder a student at University of Colorado, Boulder. Two alternative captions with the same basic learning object are “Selection bias is in the eye of the beholder” written by Sarah Arpin and “ACME polling finds that bootstrapping still reflects self-reporting bias.” Written by Rosie Garris who are also both students at University of Colorado, 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 that invites conversation about the importance of data in today's society and how it is used as a currency amongst businesses. The cartoon was used in the December 2021 CAUSE cartoon caption contest and the winning caption was written by Brian King, a student at Rice 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.
A cartoon that can be used to help start a class conversation both about the statistical paradigm as well as about the importance of collaborative efforts in carrying out a study. The cartoon was used in the November 2021 CAUSE cartoon caption contest and the winning caption was written by Jim Alloway of EMSQ Associates. 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 that can be used to help start a class conversation about the importance of avoiding the removal of outliers without appropriate cause. The cartoon was used in the October 2021 CAUSE cartoon caption contest and the winning caption was written by Erik Svenneby a student at University of Colorado 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 that can be used to help start a class conversation about when it is proper to generalize a conclusion to a broader population. The cartoon was used in the August 2021 CAUSE cartoon caption contest and the winning caption was written by John Bailer from Miami 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.
A cartoon that can be used to introduce the value of cross-over designs for reducing variability. The cartoon was used in the March 2021 CAUSE cartoon caption contest and the winning caption was written by Kelly Spoon from San Diego Mesa College. 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 that can be used to discuss designs when one factor is harder to vary than others (and the root of the term "split-plot design" in agriculture). The cartoon was used in the December 2020 CAUSE cartoon caption contest and the winning caption was written by Larry Lesser from the 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.
A cartoon to initiate a discussion about cleaning data. The cartoon was created by American cartoonist Jon Carter.
A cartoon to facilitate discussion of designing a useful data dashboard. The cartoon was drawn by American cartoonist Jon Carter in 2014.