Resource Library

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 help in discussing the Geometric and Hypergeometric probability distributions.  A version of the joke was submitted to AmStat News by Sara Venkatraman, a student at Cornell University and appeared in the October, 2018 issue.  The joke was modified to relate the hypergeometric distribution to sampling without replacement by the CAUSEweb fun collection editors (Dennis Peaaerl and Larry Lesser).

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.

A light bulb joke that can be used in discussing how the choice of model might affect the conclusions drawn.  The joke was submitted to AmStat News by Robert Weiss from UCLA and appeared on page 48 of the October, 2018 edition.

A statistics realted lightbulb joke connected to a key percentile of the normal curve.

This case study starts by the simple comparison of the prices of houses with and without fireplaces and extends the analysis to examine other characteristics of the houses with fireplace that may affect the price as well. The intent is to show the danger of using simple group comparisons to answer a question that involves many variables. The lesson shows the R code for doing this analysis; however, the data and the model could be used with another statistical software.

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).

The information in this resource provides an overview of ISS utilization up to the end of March 2013.