A song for teaching concepts about regression and correlation written by Alan Reifman, Department of Human Development and Family Studies, Texas Tech University. The lyrics may be sung to the tune of Tommy James and Bod King's 1971 song "Draggin' the Line." Musical accompaniment realization and vocals are by Joshua Lintz from University of Texas at El Paso.
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.
A set of twenty statistics anagrams that might be used for an end of semester terminology review. This collection of anagrams appeared in the article "Even More Fun Learning Stats" by Lawrence M. Lesser in issue #49 (2007) of "Stats" magazine (pp.5-8,19, 27).
A song about the important contributions of Karl Pearson, Charles Spearmen, William S. Gosset, and Ronald Fisher. Lyrics written by Nyaradzo Mvududu from Seattle Pacific University. May sing to the tune of John Lennon's 1971 song "Imagine." The lyrics were awarded third place in the song category of the 2011 CAUSE A-Mu-sing competition. Musical accompaniment realization are by Joshua Lintz and vocals are by Mariana Sandoval from University of Texas at El Paso.
Three Haiku related to regression including the topics of checking assumptions, dealing with non-linear patterns, and partitioning sums of squares. The Haiku were written by Elizabeth Stasny of The Ohio State University and were awarded a tie for second place in the poetry category of the 2011 CAUSE A-Mu-sing competition.
It's Just STATA Code To Me is a song written by Dorry Segev of Johns Hopkins University that reflects on a number of issues in biostatistical data analysis. The song may be sung to the tune of Billy Joel's 1980 hit song "It's Still Rock and Roll To Me." The lyrics were written for Marie DIener-West's Biostatistics 653 course at Johns Hopkins that regularly asks students to create songs, videos, and poetry with biostatistics themes.
This activity uses student's own data to introduce bivariate relationship using hand size to predict height. Students enter their data through a real-time online database. Data from different classes are stored and accumulated in the database. This real-time database approach speeds up the data gathering process and shifts the data entry and cleansing from instructor to engaging students in the process of data production.
A cartoon for use in discussing the issues of causation versus correlation and the assumptions underlying Structural Equations Modeling (SEM) for students who have been introduced to that technique. The idea for the cartoon came from David Lane of Rice University and the cartoon was drawn by Ben Shabad, a student at the Chicago School of Professional Psychology. The cartoon was awarded a tie for first place in the cartoon category of the 2011 CAUSE A-Mu-sing competition. For for use in statistics courses at non-profit institutions.
This program has been written to explore the relationship between the data points and the error surface of the regression problem. On one hand you can learn how to represent a line in two different spaces ({x,y} and {k,d}), and on the other hand you see that solving the regression problem is nothing else than finding the minimum in the error surface.