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  • A cartoon that can be used in the classroom to highlight different approaches to research. The cartoon was used in the April 2019 CAUSE cartoon caption contest and this winning caption was written by Jennifer Ann Morrow from The University of Tennessee. 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 April 2019 contest was "Since the dawn of time, some were meant to draw pictures. Others were meant to draw conclusions... based on statistics!" written by Joe Brickman, a student at John Carroll University.

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  • A cartoon with a neat pun on the generation of data and a way to discuss the changing landscape of technologies for dealing with data. The cartoon was used in the March 2019 CAUSE cartoon caption contest and the winning caption was written by Laila Poisson from The Henry Ford Health System. 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 with a neat double pun that can be a nice vehicle to discuss how the expectations of non-linear functions of a random variable is not the same as the function of the expectations. The cartoon was used in the February 2019 CAUSE cartoon caption contest and the winning caption was written by Joseph Gerda from College of the Canyons. 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 suitable for use in teaching about confidence intervals and the quality of estimates made by a model. The cartoon is number 2311 (May, 2020) from the webcomic series at xkcd.com created by Randall Munroe. Free to use in the classroom and on course web sites under a Creative Commons attribution-non-commercial 2.5 license.

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  • A cartoon suitable for use in teaching about Type I and Type II errors as well as providing a comical take on other kinds of errors that can occur with statistical inference. The cartoon is number 2303 (May, 2020) from the webcomic series at xkcd.com created by Randall Munroe. Free to use in the classroom and on course web sites under a Creative Commons attribution-non-commercial 2.5 license.

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  • A cartoon suitable for use in teaching about how the precision of measurements propagate when mathematical operations are applied to them . The cartoon is number 295 (April, 2020) from the webcomic series at xkcd.com created by Randall Munroe. Free to use in the classroom and on course web sites under a Creative Commons attribution-non-commercial 2.5 license.

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  • A cartoon suitable for use in introducing the topic of classification. The cartoon is number 2273 (February, 2020) from the webcomic series at xkcd.com created by Randall Munroe. Free to use in the classroom and on course web sites under a Creative Commons attribution-non-commercial 2.5 license.

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  • A cartoon suitable for use in teaching about interpreting graphs (e.g. ask: “what does the shaded area in this graph really represent?”). The cartoon is number 2271 (February, 2020) from the webcomic series at xkcd.com created by Randall Munroe. Free to use in the classroom a

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  • A cartoon suitable for use in introducing the topic of data ethics. The cartoon is number 2239 (December, 2019) from the webcomic series at xkcd.com created by Randall Munroe. Free to use in the classroom and on course web sites under a Creative Commons attribution-non-commercial 2.5 license.

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  • A cartoon suitable for use in teaching about how context matters for interpreting events (there’s a wide latitude for interpreting this cartoon). The cartoon is number 2233 (November, 2019) from the webcomic series at xkcd.com created by Randall Munroe. Free to use in the classroom and on course web sites under a Creative Commons attribution-non-commercial 2.5 license.

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