Fun

  • A cartoon that  can be used to discuss the importance of investigating and understanding the outliers in data sets. The cartoon was used in the January 2023 CAUSE cartoon caption contest and the winning caption was written by Amelia Williams, a student at University of Toronto. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.

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  • A cartoon that  can be used to discuss the value of visualizations for displaying time series data. The cartoon was used in the December 2022 CAUSE cartoon caption contest and the winning caption was written by Dashiell Young-Saver, from IDEA Public Schools. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.

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  • A cartoon that can be used in a discussion about ethical guidelines in reporting data and the importance of avoiding manipulations that represent what we hope to show while hiding opposing results also seen in the data.  The cartoon was used in the November 2022 CAUSE cartoon caption contest and the winning caption was written by Kim Bennett, from Georgia 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.

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  • 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.

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  • A cartoon that can be a vehicle to discuss the old GIGO adage (Garbage In Garbage Out) indicating how poor data may well produce poor results. The cartoon was used in the September 2022 CAUSE cartoon caption contest and the winning caption was written by Jonathan Boucher, a student at Colorado University 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.

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  • A cartoon that can be a vehicle to discuss how finding an appropriate data visualization may require multiple revisions to ensure it is aligned with what is important in the data. The cartoon was used in the August 2022 CAUSE cartoon caption contest and the winning caption was written by Elise Lahiere, a student at Montclair 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.

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  • A cartoon that highlights how the right visualization can communicate complex patterns in data more easily than written descriptions. The cartoon was used in the June 2022 CAUSE cartoon caption contest and the winning caption was written by Rob Carver from Stonehill 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.

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  • 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.

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  • A cartoon that provides a reminder of the ubiquitous importance of data in Statistics & Data Science. The cartoon was used in the April 2022 CAUSE cartoon caption contest and the winning caption was written by Larry Lesser 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.

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  • A cartoon that provides a good way to introduce the Law of Large Numbers using the negative expectation for games of chance at a casino. The cartoon was used in the March 2022 CAUSE cartoon caption contest and the winning caption was written by Rich Einsporn from the University of Akron.  The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.

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