A humorous cartoon to initiate a conversation about time series plots. The cartoon was drawn by American cartoonist Jon Carter in 2017.
A humorous cartoon to initiate a conversation about time series plots. The cartoon was drawn by American cartoonist Jon Carter in 2017.
A humorous cartoon to initiate a conversation about the appropriate graphic to use in printing different types of data. In the cartoon, the prisoner objects to only being allowed to use bar graphs in prison data projects. Looking at the graphic on the poster on the wall, a teacher might ask their students what type of data would be appropriate for what the bar graph is trying to show. The cartoon was drawn by American cartoonist Jon Carter in 2017.
A humorous cartoon to initiate a conversation about interpreting a time series plot (e.g. discussing trend versus random components). The cartoon was drawn by American cartoonist Jon Carter in 2014.
A humorous cartoon to initiate a conversation about the importance of using graphics for a purpose in order to show important features of data and not just to add sizzle. The cartoon was drawn by American cartoonist Jon Carter in 2015.
A humorous cartoon to initiate a conversation about how graphs are an efficient "language" for describing data. The cartoon is drawn by American cartoonist Jon Carter in 2015.
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.
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.
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.
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.
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.