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  • A poem for encouraging discussion on aspects of making predictions using regression models (e.g. treating possible non-linearity).  The poem was written in 2023 by Dane C Joseph from George Fox University in Oregon.

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  • A humorous cartoon by American cartoonist Jon Carter in 2018 which may be used for in-class discussions about interpreting time series plots. The drawing indicates confusion about what each axes represents, since the plot itself indicates the  x-axes labels time, but the axes itself says "customer intelligence"  and there is no scale on either axesThe cartoon is free to use in non-profit educational settings.

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  • A cartoon that can be helpful as a vehicle to discuss how finding a good data visualization to tell the story of a study’s results is an art – even if it must be combined with the science of statistics to give an appropriate impression.  The cartoon was used in the July 2022 CAUSE cartoon caption contest and the winning caption was submitted by John Montagu, a student at University of Colorado, Boulder.. An alternative caption:  "While each plot was from a different perspective, it was the aggregation of the plots that told the whole story." was submitted by Jim Alloway from EMSQ Associates, and reinforces the idea that it may take several graphs to give a full picture of a data set.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 to teach about the graphical displays of discrete data - especially using bar charts. Cartoon by John Landers (www.landers.co.uk) based on an idea from Dennis Pearl (The Ohio State University). Free to use in the classroom and on course web sites.Cartoon was revised in March, 2023 to include a histogram amongst the graphs on the wall.

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  • An interesting sestina poem to discuss measurement scales and can also be used while discussing spurious correlations if the teacher provides a guiding question such as “What part of the poem describes the relationship between quantitative variables, rather than just descriptions of quantitative variables? Are those relationships examples of 'Spurious Correlations' (per the title of the poem)? Explain briefly."   If the students need further help, the instructor might suggest that they focus on the second to last stanza.  The was written by Jules Nyquist, the founder of Jules' Poetry Playhouse, a place for poetry and play and published in the Journal of Humanistic Mathematics (2022) v. 12 #2 p.554.

     

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  • A joke relating the voting preferences of certain states with the shape of a map of the states (i.e. the shape they take if viewed as a histogram).  The joke was written in 2019 by Larry Lesser from The University of Texas at El Paso.

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  • A song to be used in discussing the value of visualizations in telling a data story along with the importance of using "clean" data in doing so.   The lyrics were written by Dennis K Pearl from Penn State University in July, 2022.  May be sung to the tune of "Maxwell's Silver Hammer" written by Paul McCartney and released by the Beatles in 1969.

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  • A song about regression to the mean written by Dennis K Pearl from Penn State University in February 2022.  May be sung to the tune of the Scottish folk song "My Bonnie Lies Over the Ocean.  The audio recording was produced by Nicolas Acedo with vocals by Alejandra Nunez Vargas, both students in the Commercial Music Program at The University of Texas at El Paso.

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  • Song celebrates Bayesian inference, includes verbal form of Bayes theorem. The lyrics were written by David Blackwell, University of California at Berkeley. May be sung to the tune of "Who (Stole My Heart Away)?" (Jerome Kern).  The audio was produced by Nicolas Acedo with vocals by Abeni Merriweather, both students in the Commercial Music Program at The University of Texas at El Paso.

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  • A song describing how sample means will follow the normal curve regardless of how skewed the population histogram is, provided n is very large.  The lyrics were written by Dennis Pearl and Peter Sprangers, both then at The Ohio State University.  The audio recording was produced by The University of Texas at El Paso student Nicolas Acedo who also performed the vocals

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