Data Collection

  • CHANCE is copublished quarterly by the American Statistical Association and Springer Science + Business Media, LLC. The magazine is designed for anyone who has an interest in the analysis of data, informally highlighting sound statistical practice. CHANCE is not a technical magazine, but rather a cultural record of an evolving field, intended to entertain as well as inform. Since its creation in 1988, CHANCE has covered such topics as the 1990 census adjustment and the redesigned population survey, sports, the environment, DNA evidence in the courts, a variety of medical issues -- even how to win on "Jeopardy." -- CHANCE offers a unique opportunity to reach beyond statistics professionals to a more general audience.
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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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  • 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.
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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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  • A joke to introduce the idea of asymptotic distributions. The joke was written by Dennis Pearl of The Ohio State University.
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  • 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.
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  • This is an extensive collection (and a continuously expanding collection) of applets on topics that include probability, descriptive statistics, sampling distributions, Monte Carlo simulation, Buffon's coin problem, chi-square, p-values, correlation, and more. There is even a random number generator that is part of the collection.
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  • TeachingWithData.org is portal of teaching and learning resources for infusing quantitative literacy into the social science curriculum. A Pathway of the National Science Digital Library, TwD aims to support the social science instructor at secondary and post-secondary schools by presenting user-friendly, data-driven student exercises, pedagogical literature, and much more! Resources are available on a wide range of topics and disciplines.
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  • You can't fix by analysis what you bungled by design. is a quote by American education researchers Richard J. Light, Judith D. Singer, and John B. Willett. The quote is found in the preface of their 1990 book "By Design: planning research on higher education".
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  • December 14, 2010 T&L webinar presented by Dianna Spence & Brad Bailey (North Georgia College & State University) and hosted by Jackie Miller (The Ohio State University). When instructors have their students implement "real-world" projects in statistics, a number of questions arise: Where can students locate real data to analyze? What kinds of meaningful research questions can we help students to formulate? What aspects of statistical research can be covered in a project? What are reasonable methods for evaluating the student's work? The presenters will share resources developed during an NSF-funded study to develop and test curriculum materials for student projects in statistics, using linear regression and t-test scenarios.
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