Resource Library

Statz 4 Life is a 5 minute, 13 second video that provides a fun review of statistical inference topics (for example, the theme of examining observed differences in the numerator and error in the denominator). The video was first shown on May 18, 2006 in Chuck Tate's research methods course, while he was a graduate student in the Department of Psychology at the University of Oregon. The rappers are (in order of appearance): Jeph Loucks, Chuck Tate, Chelan Weaver, and Cara Lewis. Jennifer Simonds provides the singing talent. Credits: Concept, lyrics, and cinematography by Chuck Tate, audio mixing by Jeph Loucks, and video editing by Chuck Tate and Jeph Loucks. The background beat is Nelly's song "Grillz," of which this video is a parody.

A cartoon that can used to help discuss the difference between large and small datasets and the kinds of issues involved in analyzing them and the questions that can be answered with them. The cartoon was used in the April 2020 CAUSE cartoon caption contest and the winning caption was written by Eric Vance from the University of Colorado Boulder. 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 that can be used in a discussion of prediction – and the difference between the accuracy of a single prediction and quantifying the level of accuracy for a prediction method. The cartoon was used in the May 2019 CAUSE cartoon caption contest and the winning caption was written by Mickey Dunlap from the University of Georgia. 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 May 2019 contest was “I see you come from a long line of statisticians," written by Douglas VanDerwerkenz from the U.S. Naval Academy. Doug's clever pun can be related to the multiple testing problem by talking about how a fortune teller will get some predictions right if they make a long line of them.

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.

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.

A cartoon suitable for use in teaching about the variability in estimates (including estimates of the variability of estimates). The cartoon is number 2110 (February, 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.

This limerick was written by Dr. Nyaradzo Mvududu of the Seattle Pacific University School of Education. The poem was given an honorable mention in the 2007 A-Mu-sing competition.

This poem was written by Peter E. Sprangers while he was a graduate student in the Department of Statistics at The Ohio State University and published in "CMOOL: Central Moments Of Our Lives" (volume 1; 2006, issue 2). The poem took second place in the poetry category of the 2007 A-Mu-sing competition.

A cartoon suitable for use in teaching about various graphic displays. The cartoon is number 688 (January, 2010) 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.

A cartoon to help in teaching the importance of labeling the axes of a graph. The cartoon is number 833 (December 2010)  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.