This cartoon caption illustrates the idea that statistical procedures based on the normality assumptions are often sensitive to heavy tailed populations and outliers. The cartoon was used in the June 2024 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.
This cartoon caption illustrates the idea that the value of a regression predictions may be sensitive to noise and outliers. The cartoon was used in the May 2024 CAUSE cartoon caption contest and the winning caption was written by retired AP statistics teacher Jodene Kessler. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.
This cartoon caption illustrates the idea that the normal approximation works better for larger samples. The cartoon was used in the April 2024 CAUSE cartoon caption contest and the winning caption was written by Grant Zou a student at the University of Virginia. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.
This cartoon caption illustrates the idea that an inappropriate process of collecting data may be a confounder in its interpretation. The cartoon was used in the March 2024 CAUSE cartoon caption contest and the winning caption was written by Grant Zou a student at the University of Virginia. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.
This cartoon caption illustrates the dangers of extrapolation beyond the range of the data and that making reliable predictions from models requires an adequate sample size to estimate parameters. The cartoon was used in the February 2024 CAUSE cartoon caption contest and the winning caption was written 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.
This cartoon caption can help students remember to use data to check model assumptions when they make them. The cartoon was used in the January 2024 CAUSE cartoon caption contest and the winning caption was written by Mike Lueke from St Louis Community 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.
This cartoon caption is intended to help discuss how outliers in linear regression models are worth studying and can lead you to further research questions. The cartoon was used in the December 2023 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.
This cartoon caption is intended to emphasize the identification of seasonal effects in time series plots. The cartoon was used in the November 2023 CAUSE cartoon caption contest and the winning caption was written by Regina Lisinker, a student at the University of Minnesota. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.
This cartoon caption is intended to emphasize the theme that whether we're looking at climate data or any other field, recognizing and managing variation is key to drawing meaningful insights from data and making reliable forecasts. The cartoon was used in the October 2023 CAUSE cartoon caption contest and the winning caption was written by Ian Bang, a student at the Friends Seminary in New York City. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.
This cartoon caption might be used in announcing hackathon style events and in discussing the importance of collaboration in a team-based search for meaning in data. The cartoon was used in the September 2023 CAUSE cartoon caption contest and the winning caption was written 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.