Data Presentation

  • 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 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 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 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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  • A cartoon to be used for discussing z-scores. The cartoon was used in the September 2016 CAUSE Cartoon Caption Contest. The winning caption was submitted by Amy Nowacki from Cleveland Clinic/Case Western Reserve University, while the drawing was created by John Landers using an idea from Dennis Pearl. A second winning caption "Even a crash course in model-fitting will need to consider distributions other than normal," was by Eugenie Jackson, a student at University of Wyoming, is well-suited for starting a conversation about the normality assumption in statistical models.(see "Cartoon: Pile-UP I") Honorable mentions that rose to the top of the judging in the September caption contest included "Big pile-up at percentile marker -1.96 on the bell-curve. You might want to take the chi-square curve to avoid these negative values," written by Mickey Dunlap from University of Tennessee at Martin; "Call the nonparametric team! This is not normal!” written by Semra Kilic-Bahi of Colby-Sawyer College; "I assumed the driving conditions today would be normal!" written by John Vogt of Newman University; and "CAUTION: Z- values seem smaller than they appear. Slow down & watch for stopped traffic reading these values,” written by Kevin Schirra, a student at University of Akron.
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  • A song to encourage students to use critical thinking skills in evaluating a statistic published in the media. The 2002 JSM paper (http://www.statlit.org/pdf/2002BestASA.pdf) of sociologist Joel Best and feedback from Milo Schield gave Lawrence Lesser (The University of Texas at El Paso) inspiration to explore what it means to say statistics are socially constructed. The song is a parody of the Beatles' "Lucy in the Sky with Diamonds." The lyrics were originally published in the August 2016 Amstat News. Audio of the parody was produced and sung by students in the commercial music program of The University of Texas at El Paso.

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  • This software makes it easier to use the R language. It includes a code debugger, editing, and visualization tools.

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  • This is a web application framework for R, in which you can write and publish web apps without knowing HTML, Java, etc. You create two .R files: one that controls the user interface, and one that controls what the app does. The site contains examples of Shiny apps, a tutorial on how to get started, and information on how to have your apps hosted, if you don't have a server.

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  • These slides from the 2014 ICOTS workshop describe a minimal set of R commands for Introductory Statistics. Also, it describes the best way to teach them to students. There are 61 slides that start with plotting, move through modeling, and finish with randomization.
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  • This online booklet, Start Teaching with R, by Randall Pruim, Nicholas J. Horton, and Daniel T. Kaplan comes out of the Mosaic project. It describes how to get started teaching Statistics using R, and gives teaching tips for many ideas in the course, using R commands.

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