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  • 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.

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  • December 12, 2006 webinar presented by Michelle Everson, University of Minnesota, and hosted by Jackie Miller, The Ohio State University. This webinar focuses on describing an introductory statistics course that is taught completely online. The structure of this course is described, and samples of different student assignments and activities are presented. Assessment data and student feedback about the course are also presented. Discussion focuses on issues that must be considered when developing and administering an online course, such as the instructor's role in the online course and ways to create an active learning environment in an online course.

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  • 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.

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  • 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.

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  • You must never tell a thing. You must illustrate it. We learn through the eye and not the noggin. A quote on June 25, 1933 by American humorist, social commentator, and actor, Will Rogers (1879 - 1935) found in "The Will Rogers Book" Texian Press, 1972. The quote also appears in Statistically Speaking: A dictionary of quotations compiled by Carl Gaither and Alma Cavazos-Gaither.

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  • In this 20 minute video, doctor and researcher Hans Rosling uses his fascinating data-bubble software to burst myths about the developing world. The video includes new analysis on China and the post-bailout world, mixed with classic data shows.

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  • It is easy to lie with statistics, but it is easier to lie without them. Quote attriuted to Frederick Mosteller (1916 - 2006)

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  • 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.

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  • 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.

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  • 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.

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