A cartoon to aid in the discussion of volunteer sampling and response bias in surveys. The cartoon was created in 2017 by Sabrina Cappella, a student at the University of Toronto at Mississauga and took the grand prize in the 2017 A-mu-sing competition.

A cartoon to be used for discussing the importance of efficiency in sampling. The cartoon was used in the April 2017 CAUSE Cartoon Caption Contest. The winning caption was submitted by Mickey Dunlap from University of Georgia. The drawing was created by British cartoonist John Landers based on an idea from Dennis Pearl of Penn State University. Three honorable mentions that rose to the top of the judging in the April competition included “Better to ask for help BEFORE you're drowning in data!,” written by Larry Lesser from University of Texas at El Paso; “I guess I should have asked for more details before signing up for this "Streaming Data" workshop,” written by Chris Lacke from Rowan University; and “On reflection, random sampling WITH replacement might not have been appropriate in this scenario,” written by Aaron Profitt from God’s Bible School and College.

A cartoon to be used for discussing the advantages and disadvantages of random assignment when n is small and there are clear confounders (here the assignment might be to which product is tested first). The cartoon was used in the May 2017 CAUSE Cartoon Caption Contest. This caption was written by John Bailer from Miami University and took honorable mention in the contest. The drawing was created by British cartoonist John Landers based on an idea from Dennis Pearl of Penn State University. The winning caption in the May competition may be found at www.causeweb.org/cause/resources/fun/cartoons/product-testing-i (written by Jim Alloway of EMSQ Associates) and an honorable mention may be found at www.causeweb.org/cause/resources/fun/cartoons/product-testing-ii written by Larry Lesser from The University of Texas at El Paso.