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Statistical Topic

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  • A cartoon designed to support a discussion of using dummy variables to code for categories of a categorical variable in a regression model (e.g. 5 are needed when there are 6 categories). The cartoon was used in the February 2020 CAUSE cartoon caption contest and the winning caption was written by Dominic Matriccino, 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. A second winner in the February 2020 contest was "The grass really is greener on the homogeneity side," written by Jennifer Ann Morrow, an instructor from University of Tennessee. Jennifer's cartoon caption can be used in discussing the importance of within-group variability in judging differences between groups and the difficulty when the groups being compared have different levels of variability.

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  • A cartoon that can be used to motivate the importance of statistics in making decisions. The cartoon was used in the January 2020 CAUSE cartoon caption contest and the winning caption was written by  Douglas VanDerwerken, an instructor at the United States Naval Academy. 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 supports the importance of coding, and the how statistical computations and simulations using technology has created a variety of new possibilities in statistics. The cartoon was used in the December 2019 CAUSE cartoon caption contest and the winning caption was written by Nicholas Varberg, a student at the 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.

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  • A cartoon that can be used to motivate the importance of statistics in gleaning understanding from the large amounts of data in the modern world. The cartoon was used in the November 2019 CAUSE cartoon caption contest and the winning caption was written by Shawn Orton, an instructor at the Waterford School. 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 links well with the famous Isaac Newton apple tree fable and can be used for discussing the importance of data to speed innovation in any discipline from science to business to public policy. The cartoon was used in the October 2019 CAUSE cartoon caption contest and the winning caption was written by Eric Vance from 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.

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  • A cartoon that can be used for discussing data wrangling issues involved with bringing together data of varying file formats, naming conventions, and columns and transforming it into one cohesive data set. The cartoon was used in the September 2019 CAUSE cartoon caption contest and the winning caption was written by Larry Lesser from 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 can be used for discussions that compare and contrast survey samples versus a census. The cartoon was used in the August 2019 CAUSE cartoon caption contest and the winning caption was written by Jim Alloway from 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 can be used for discussing the difference between a bar graph and a histogram and how they are used. The cartoon was used in the July 2019 CAUSE cartoon caption contest and the winning caption was written by Greg Crowther from Everett Community 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 can be used for discussing the traditional theme of "Correlation does not imply Causation" as well as what observational evidence does provide the most convincing evidence of a causal relationship. The cartoon was used in the June 2019 CAUSE cartoon caption contest. 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 of prediction – and the difference between the accuracy of a single prediction and quantifying the level of accuracy for a prediction method. The cartoon was used in the May 2019 CAUSE cartoon caption contest and the winning caption was written by Mickey Dunlap from the University of Georgia. 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 co-winning caption in the May 2019 contest was “I see you come from a long line of statisticians," written by Douglas VanDerwerkenz from the U.S. Naval Academy. Doug's clever pun can be related to the multiple testing problem by talking about how a fortune teller will get some predictions right if they make a long line of them.

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