A video from the 2019 US Conference On Teaching Statistics where Dennis Pearl from Penn State University is introducing the winner of that year's CAUSE/USCOTSLifetime Achievement Award in Statistics Education. He tells a story that can be useful in teaching the lesson that linear regression is inappropriate for making predictions well outside the range of the data. The story is loosely based on the phone call he made in ordering the trophy for the award.
A joke to initiate a conversation about the importance of understanding your Sampling Frame when conducting surveys. The joke was written by Larry Lesser from The University of Texas at El Paso in 2021.
A cartoon that can be used in discussing how choosing an appropriate sample size must balance budget and logistics along with statistical power. The cartoon was used in the April 2023 CAUSE cartoon caption contest and the winning caption was written by retired AP Statistics teacher Jodene Kissler. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University. An alternate caption for the cartoon might be “The Negative Correlation Moving Company had trouble holding on to their shorter employees,” that can be used to discuss the difference between positive and negative associations.
A cartoon that can be used in discussing how data visualizations help in thinking about the interpretation of data and stimulate critical thinking about the topic of the plot. The cartoon was used in the March 2023 CAUSE cartoon caption contest and the winning caption was written by Larry Lesser at 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 introduce ideas of the bias (degree of being on target) and reliability (degree of deviation) of estimators. The cartoon was used in the February 2023 CAUSE cartoon caption contest and the winning caption was written by Laurie Baker at the College of the Atlantic. 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 investigating and understanding the outliers in data sets. The cartoon was used in the January 2023 CAUSE cartoon caption contest and the winning caption was written by Amelia Williams, a student at University of Toronto. 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 value of visualizations for displaying time series data. The cartoon was used in the December 2022 CAUSE cartoon caption contest and the winning caption was written by Dashiell Young-Saver, from IDEA Public Schools. 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 about ethical guidelines in reporting data and the importance of avoiding manipulations that represent what we hope to show while hiding opposing results also seen in the data. The cartoon was used in the November 2022 CAUSE cartoon caption contest and the winning caption was written by Kim Bennett, from Georgia 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 a vehicle to discuss the value of approximations in statistical inference and the need to check the fit of models. The cartoon was used in the October 2022 CAUSE cartoon caption contest and the winning caption was written by Eric Vance, from University of Colorado in 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 a vehicle to discuss the old GIGO adage (Garbage In Garbage Out) indicating how poor data may well produce poor results. The cartoon was used in the September 2022 CAUSE cartoon caption contest and the winning caption was written by Jonathan Boucher, a student at Colorado University in 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.