This song extols the value of Bayesian thinking. The song was written by Mark Glickman and may be sung to the tune of The Zombie's 1968 song "Time of the Season" written by Rod Argent. The mp3 was recorded on May 24 2008 (Mark Glickman - vocals). This song was first performed live in June 2006 at "Eighth Valencia World Meeting on Bayesian Statistics" in Benidorm, Spain, by Mark Glickman, Brad Carlin, Jennifer Hill, and David Heckerman.
A cartoon to teach about the need to think carefully about the assumptions underlying a statistical model (also uses the idea that you can multiply chances for independent events to find the chance that they all occur). Drawn by British cartoonist John Landers based on an idea from Dennis earl. Free to use in the classroom and on course websites.
A cartoon to teach ideas about sample surveys. Cartoon by John Landers (www.landers.co.uk) based on an idea from Dennis Pearl (The Ohio State University). Free to use in the classroom and on course web sites.
Oops! ... I Picked the Wrong Test is a 4 minute, 12 second video that provides a fun review of common mistakes made in conducting hypothesis tests. The video was first sung for students in a Psychology class at the University of Oregon. The singer is Jennifer Simonds, Ph.D. of Westminster College in Salt Lake City Utah (where the video was filmed). The song is a parody of "Oops ... I did it again" by Britney Spears (2000). Characters: Britney Spearman - Jennifer Simonds, Chuck - Chuck Tate, Frustrated Professor - Bill Bynum, Dancers - Cressa Perloff (dance captain), Kathleen Ware, and Mariah Mercer. Credits: Lyrics, vocals, directions, and production by Jennifer Simonds; Recording and Sound Engineering by Ted Sablay; Final Cut Consulting by Zelda Randazzo; Audio Sync Assistance by Lizzie Randazzo; Camera Work and Props by Amy Fairchild. This video won the overall Grand Prize in the 2009 CAUSE A-Mu-sing contest.
A statistics scramble that might be used in teaching goodness-of-fit significance tests. A set of five anagrams must be solved to reveal the letters that provide the answer to the clue in the cartoon. The cartoon was drawn by British cartoonist John Landers based on an idea by Dennis Pearl. Free for use on course websites, or as an in-class, or out-of class exercise.
Statistics are the food of love. A quote by American editor and author Roger Angell from his 1982 book "Late Innings: a Baseball Companion", published by Simon & Schuster. Also to be found in "Statistically Speaking the dictionary of quotations" compiled by Carl Gaither and Alma Cavazos-Gaither p. 213
Rejection Detection is a poem by Patricia McCann of Franklin University. It may be used in teaching about p-values in hypothesis testing.
There are two possible outcomes: If the result conforms the hypothesis, then you've made a measurement. If the result is contrary to the hypothesis, then you've made a discovery. A quote of Italian physicist and Nobel laureate Enrico Fermi. This quote appears on page 395 of "Nuclear Principles in Engineering" (2005) by Tatjana Jeveremovic.
February 13, 2007 webinar presented by Jim Albert, Bowling Green State University, and hosted by Jackie Miller, The Ohio State University. An introductory statistics course is described that is entirely taught from a baseball perspective. This class has been taught as a special section of the basic introductory course offered at Bowling Green State University . Topics in data analysis are communicated using current and historical baseball datasets. Probability is introduced by describing and playing tabletop baseball games. Inference is taught by distinguishing between a player's "ability" and his "performance", and then describing how one can learn about a player's ability based on his season performance. Baseball issues such as the proper interpretation of situational and "streaky" data are used to illustrate statistical inference.
January 9, 2007 webinar presented by Sterling Hilton, Brigham Young University, and hosted by Jackie Miler, The Ohio State University. Beginning in January 2005, the ASA (with support from the National Science Foundation) started a series of three workshops for statisticians and mathematics education researchers. The purpose of these workshops was to make recommendations on ways to promote high-quality education research that can stand up under the scrutiny of other scientific communities and that will allow work to be compared and combined across research programs. A draft version of the final report from these workshops entitled "Using Statistics Effectively in Mathematics Education Research" has been written. This webinar summarizes the major points of this report and discuss their relevance to researchers in statistics education.