A cartoon that can be a vehicle to discuss the nature of convenience samples and how they are likely to differ from probability-based samples. The cartoon was used in the January, 2018 CAUSE cartoon caption contest and the winning caption was submitted by Larry Lesser from The University of Texas at El Paso. 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 provide a nice avenue for facilitating discussions of planning for adequate sample sizes in experiments.The cartoon was used in the October, 2017 CAUSE cartoon caption contest and the winning caption was written by Greg Snow from Grigham Young University. 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 initiate a class discussion about the value of matched designs in reducing variability (the people in the cages in the cartoon being matched by color of clothes and by gender).The cartoon was used in the June, 2017 CAUSE cartoon caption contest and the winning caption was submitted by Larry Lesser from The University of Texas at El Paso. 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 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 joke to help in discussing Latin Square experimental designs. The joke was written by Larry Lesser from The University of Texas at El Paso in November, 2018.
A cartoon to be used for in discussing human subjects issues during a unit on designing experiments. The cartoon was used in the August 2018 CAUSE Cartoon Caption Contest. This winning caption was submitted by Greg Snow from Brigham Young University. The drawing was created by British cartoonist John Landers based on an idea from Dennis Pearl of Penn State University. An honorable mention for a caption that also rose to the top of the judging in the August competition was "The Poisson model for rare events was about to be tested," which may be found at https://www.causeweb.org/cause/resources/fun/cartoons/twins-ii
A joke to aid in discussing Confirmation Bias (bias introduced in surveys because respondents tend to interpret things in a way that confirms their preexisting beliefs). The joke was written by Larry Lesser from The Universisty of Texas at El Paso and Dennis Pearl from The Pennsylvania State University in October, 2018.
A joke to help in discussing Latin Square experimental designs. The joke was written by Larry Lesser from The University of Texas at El Paso in October, 2018.
Explore the Hubble Deep Fields from a statistical point of view. Watch out for the booby traps of bias, the vagueness of variability, and the shiftiness of sample size as we travel on a photo safari through the Hubble Deep Fields (HDFs).
This resource provides information on all of the astronauts that have been a part of the U.S. space program (as well as some facts about other countries' space programs), including how many flights each has participated in, where they are from, where they attended college, and many more fun facts. This material contacts a great deal of data on these individuals and could be used as data sets for teaching basic statistics concepts.