# Reference Material

• ### The Heart of a Statistician's Career: Relationships and Interactions

A statistician who works as a consultant shares information about his career and how he has learned to be more effective in the professional world in this September 2009 article in AMSTAT News.

• ### Webinar: Mites and Wilt Disease - Using Simulation to Examine a 2 x 2 Table

January 26, 2010 webinar presented by Alicia Gram, Smith College, and hosted by Leigh Slauson, Capital University. This webinar describes an activity that uses data collected from an experiment looking at the relationship between two categorical variables: whether a cotton plant was exposed to spider mites; and did the plant contract Wilt disease? The activity uses randomization to explore whether there is a difference between the occurrence of the disease with and without the mites. The webinar includes a discussion of the learning goals of the activity, followed by an implementation of the activity then suggestions for assessment. The implementation first uses a physical simulation, then a simulation using technology. (Extra materials, including Fathom instructions for the simulation, available for download free of charge).
• ### Quote: Reasoner on Statistics

Statistics are to baseball what a flaky crust is to Mom's apple pie. is a quote by American television journalist Harry Reasoner (1923 - 1991). The quote was said in a story on the news magazine show, "60 minutes."
• ### Quote: Canning on Proof

I can prove anything by statistics except the truth is a quote by British politician George Canning (1770 - 1827). The quote is found on page 587 of the 1908 book "Dictionary of Thoughts" edited by Tryon Edwards. The quote may be used to illustrate the idea that statistical inference is often geared toward demonstrating what is unlikely to be true rather than proving what is true.
• ### Webinar: Foundations in Probability to Support Statistical Reasoning

February 9, 2010 T&L webinar presented by Hollylynne Lee (North Carolina State University) and Todd Lee (Elon University), and hosted by Jackie Miller (The Ohio State University). A model for probabilistic reasoning will be discussed that may support students' statistical reasoning. The development of the model and instructional implications are based on theoretical considerations and empirical results from work with middle grades students. Significant time for discussion is planned to get reactions to the model as well as to discuss aspects of probability that participants believe are foundational to building statistical literacy or reasoning.
• ### Song: It's .05

Song about the need to show a significant result in order to have a manuscript published. May be sung to the tune of Robert Feldman, Gerald Goldstein and Richard Gottehrer's 1963 song "My Boyfriend's Back," popularized by The Angels. Lyrics by Marc Coram and Matthew Finkelman (December, 2003). This song is part of the "Stanford Statistics Songbook" found at www.bscb.cornell.edu/~hooker/StanfordStatisticsSongbook.pdf Free to use for non-commercial educational purposes. Contact author to use in publications or for commercial purposes. Musical accompaniment realization and vocals are by Joshua Lintz from University of Texas at El Paso.
• ### Song: X-Y-Z, Theta-Pi

Song about the difficulty of graduate courses in statistics ad probability. May be sung to the tune of John Lennon and Paul McCartney's 1968 song "Ob-La-Di Ob-La-Da." Lyrics by Armin Swartzman and Matthew Finkelman (December, 2003). This song is part of the "Stanford Statistics Songbook" found at www.bscb.cornell.edu/~hooker/StanfordStatisticsSongbook.pdf Free to use for non-commercial educational purposes. Contact author to use in publications or for commercial purposes. Musical accompaniment realization and vocals are by Joshua Lintz from University of Texas at El Paso.
• ### Song: The Bootstrap Begins

Song about bootstrap resampling methods and their history. May be sung to the tune of Don McLean's 1971 song "American Pie." Lyrics by Giles Hooker (May, 2004). This song is part of the "Stanford Statistics Songbook" found at www.bscb.cornell.edu/~hooker/StanfordStatisticsSongbook.pdf Free to use for non-commercial educational purposes. Contact author to use in publications or for commercial purposes. Musical accompaniment realization and vocals are by Joshua Lintz from University of Texas at El Paso.
• ### Song: Bayesian Believer

Song advocating a preference for Bayesian inferential procedures. May sing to the tune of Neil Diamond's 1966 song "I'm a Believer" made popular by the Monkees. Lyrics by Bradley Carlin (2002). Free to use for non-commercial educational purposes. Contact author to use in publications or for commercial purposes. Accompanying musical track was recorded Sunday September 16, 2002. The lyrics were written by Brad for the Valencia 7 conference, Tenerife, Spain, June 2002;and was first performed there by the Bayesian Band (Brad Carlin, Mark Glickman, and David Heckerman). The lyrics may be found in volume 37, issue 1 of "IMS Bulletin" and in the "Bayesian Songbook" (www.biostat.umn.edu/~brad/cabaret.html).