A cartoon that can be used to introduce a variety of issues in the regression setting. The cartoon was used in the April 2021 CAUSE cartoon caption contest and the winning caption was written by Christopher Jay Lacke from Rowan 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 that can be used to introduce the value of cross-over designs for reducing variability. The cartoon was used in the March 2021 CAUSE cartoon caption contest and the winning caption was written by Kelly Spoon from San Diego Mesa College. 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 to discuss the importance of using a paired analysis to reduce the variability in the response for a heterogeneous population. The cartoon was used in the February 2021 CAUSE cartoon caption contest and the winning caption was written by Jeremy Case from Taylor 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 that can be used to discuss the importance of graphical displays in drawing meaning from data. The cartoon was used in the January 2021 CAUSE cartoon caption contest and the winning caption was written by Charlie Smith from North Carolina State 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 that can be used to discuss designs when one factor is harder to vary than others (and the root of the term "split-plot design" in agriculture). The cartoon was used in the December 2020 CAUSE cartoon caption contest and the winning caption was written by Larry Lesser from the 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 that can be used to discuss the importance of context in data analysis. The cartoon was used in the November 2020 CAUSE cartoon caption contest and the winning caption was written by Chris Lacke from Rowan 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 that can be used to discuss the importance of proper scaling to give a fair picture in graphical displays. The cartoon was used in the October 2020 CAUSE cartoon caption contest and the winning caption was written by Chris Lacke from Rowan 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 providing a nice way to introduce the Coefficient of Variation as a measure of relative variability in this era of virtual meetings. The cartoon was used in the September 2020 CAUSE cartoon caption contest and the winning caption was written by Larry Lesser from the 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 providing a nice way to introduce the value of statistics in studying the spread of infectious diseases. The cartoon was used in the August 2020 CAUSE cartoon caption contest and the winning caption was written by Jim Alloway of EMSQ Associates. 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 providing a nice way to introduce the value of data mining for finding patterns in data but not as a gold standard for inference. The cartoon was used in the July 2020 CAUSE cartoon caption contest and the winning caption was written by Charles Eugene Smith from North Carolina State 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.