A collection of Statistics related Haikus collected by Nicholas Horton from his Math 190 (statistical Methods for Undergraduate Research) course at Smith College in Spring, 2005. These are included in the Statistics Haiku Project at http://www.math.smith.edu/~nhorton/haikustat.html
A collection of Statistics related Haikus collected by Nicholas Horton from his Math 190 (statistical Methods for Undergraduate Research) course at Smith College in Spring, 2010. These are included in the Statistics Haiku Project at http://www.math.smith.edu/~nhorton/haikustat.html
A joke to teach the meaning of type I error by University of Texas at El Paso professor of Mathematical Sciences, Lawrence Mark Lesser (1964-) and Ohio State Unviersity PRofessor of Statistics Dennis K. Pearl (1951-).
A joke to use when teaching about choices of binary response data models like the Logistic or Probit models by University of Texas at El Paso professor of Mathematical Sciences, Lawrence Mark Lesser (1964-).
...statisticians are the new sexy vampires, only even more pasty. A quote by American playwright, columnist, and humorist Paul M. Rudnick (1957 - ) from his November 19, 2012 essay "A Date with Nate" in "The New Yorker". The essay arose after the correct prediction of the winner of the presidential race in all 50 states in 2012 by statistician Nate Silver
A joke that can be used when teaching six sigma process control ideas or chi-squared goodness-of-fit tests. The joke was written in 2013.
The song may be used to teach the importance of a good graphical display in presenting statistical data. May be sung to the tune of "Hit Me With Your Best Shot" (Eddie Schwartz, Pat Benatar, 1980). An earlier version appeared in Spring 2011 issue of Teaching Statistics. Lyrics by Lawrence Lesser, University of Texas at El Paso. version here introduced at the 2013 U.S. Conference On Teaching Statistics.
If you think that statistics has nothing to say about what you do or how you could do it better, then you are either wrong or in need of a more interesting job. is a quote by Swiss Statistician Professor Stephen John Senn (1953 - ). The quote is from his 2003 book "Dicing with Death: Chance, Risk, and Health" published by Cambridge University Press.