Fun

  • A game to help with the active learning of the kinds of applied scenarios that are appropriately modeled by distributions covered in an upper division undergraduate or masters level probability course. The game is part of the Distributome.org probability resources developed by Ivo Dinov (University of Michigan), Dennis Pearl (Penn State University), and Kyle Siegrist (University of Alabama).
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  • A game to help students learn to visualize the relationship between a scatterplot and the associated correlation coefficient. The Correlation Guessing Game provides panels of four scatterplots and challenges you to match them with four potential values of Pearson's correlation. The game is offered by Wiley Publishing as an online supplement to the introductory statistics book by Prem Mann. The game is a Flash version of a popular game originally created in the 1990's by John Marden at University of Illinois Urbana-Champaign.
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  • A pun to familiarize students with Anscombe's Quartet - the group of 4 data sets with the same means, standard deviations, correlations, and regression lines for X and Y that were produced by British statistician Frank Anscombe in a 1973 paper in the American Statistician. The joke was written in 2016 by Larry Lesser from The University of Texas at El Paso. This joke should be used in a written form since students will not "get" the joke if they have never heard of Anscombe's Quartet - the value for teaching coming from having them look it up. Alternatively, it can be used in an oral presentation following an activity on this topic.

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  • A joke for discussing how transformations can make data more normal and stabilize variances across groups with different means (here the square root transformation for Poisson data). The joke was written in 2016 by Larry Lesser from The University of Texas at El Paso.

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  • A "haiku" poem written by Larry Lesser from The University of Texas at El Paso. The poem is a playful vehicle to help introduce the chi-square test for contingency tables.
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  • A pun to be used in discussing the concept of regression to the mean. The joke was co-authored in 2017 by Larry Lesser (The University of Texas at El Paso) and Dennis Pearl (Penn State University).

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  • A joke to use discussing the broad types of research that might go under the name "Survey". The joke was written by Larry Lesser (The University of Texas at El Paso) and Dennis Pearl (Penn State University).
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  • A joke written by Larry Lesser from The University of Texas at El Paso to highlight the difference between concepts of central tendency and variation.
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  • A cartoon to be used for discussing the meaning of probability statements in the media such as when you hear there's a 25% chance of rain in the forecast. The cartoon was used in the July 2016 CAUSE Cartoon Caption Contest. The winning caption was submitted by Michael Huberty from University of Minnesota., a student at Belgrade High School. The drawing was created by John Landers using an idea from Dennis Pearl. Other honorable mentions for captions that rose to the top of the judging that month included "A data set with seasonality" written by Larry Lesser from University of Texas at El Paso; "ANOVA – Analysis of Varied Atmospheres," written by Deb Sedik from Bucks County Community College: and "Variability matters!" written by Debmalya Nandy, a student at Penn State University. (to use this cartoon with an alternate caption simply download and replace the caption using a bolded comic sans font)
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  • A cartoon to be used for discussing the value of data visualizations. The cartoon was used in the August 2016 CAUSE Cartoon Caption Contest. The winning caption was submitted by Barb Osyk from the University of Akron, while the drawing was created by John Landers using an idea from Dennis Pearl. Other honorable mentions that rose to the top of the judging included "I told you exploded pie charts are dangerous!" written by Aaron Profitt from God’s Bible School and College; "Liar liar, data on fire," written by Mickey Dunlap from University of Tennessee at Martin: and "I warned you about using hot deck imputation when you have so much missing data!" written by Elizabeth Stasny, from The Ohio State University. (to use this cartoon with an alternate caption simply download and replace the caption using a bolded comic sans font)
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