A song parody to be sung about one's favorite statistics course. The lyrics won an honorable mention in the song category of the 2011 CAUSE A-Mu-sing contest and were written by Robert Carver of Stonehill College. The song may be sung to the tune of George and Ira Gershwin's 1937 classic "They Can't Take That Away from Me." Musical accompaniment realization and vocals are by Joshua Lintz from University of Texas at El Paso.
A poem by Notre Dame College Mathematics professor Anthony Masci. The poem was awarded an honorable mention in the 2011 CAUSE A-Mu-sing competition.
This site is a collection of resources related to experiments. The site includes references, resources, and articles related to the scientific method, experimental research, ethics in research, and research design. It also includes tips on writing scientific papers, and there are several statistics tutorials on the site. Another interesting feature of the site is a collection of case studies that include descriptions of famous research studies in fields like social psychology, sociology, physics, biology, and medicine.
All life is an experiment. The more experiments you make the better. is a quote by American author and poet Ralph Waldo Emerson (1803 - 1882). The quote was written as a journal entry on November 11, 1842.
Don 't worry about polls, but if you do, don't admit it. is a quote by former First Lady Eleanor Rosalynn Smith Carter (1927 - ).
Theory is a good thing, but a good experiment is forever. is a quote by Russian nobel prize winning physicist Pyotr Leonidovich Kapitsa (1894 - 1984). The quote is found on page 160 of "Experiment, theory, practice, articles and addresses volume 46."
...experiment without mathematics will neither sufficiently discipline the mind or sufficiently extend our knowledge... is a quote by Scottish geophysicist Balfour Stewart (1828 - 1887). The quote is found in a letter from Stewart to Henry Roscoe of Owens College on June 2, 1870.
November 23, 2010 Activity Webinar presented by Stacey Hancock, Reed College, Jennifer Noll, Portland State University, Sean Simpson, Westchester Community College, and Aaron Weinberg, Ithaca College, and hosted by Leigh Slauson, Capital University. Extra materials available for download free of charge. Many instructors ask students to demonstrate the frequentist notion of probability using a simulation early in an intro stats course. Typically, the simulation involves dice or coins, which give equal (and known) probabilities. How about a simulation involving an unknown probability? This webinar discusses an experiment involving rolling (unbalanced) pigs. Since the probabilities are not equal, this experiment also allows the instructor to have students think about the concept of fairness within games.