Data Collection

  • 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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  • January 9, 2007 webinar presented by Sterling Hilton, Brigham Young University, and hosted by Jackie Miler, The Ohio State University. Beginning in January 2005, the ASA (with support from the National Science Foundation) started a series of three workshops for statisticians and mathematics education researchers. The purpose of these workshops was to make recommendations on ways to promote high-quality education research that can stand up under the scrutiny of other scientific communities and that will allow work to be compared and combined across research programs. A draft version of the final report from these workshops entitled "Using Statistics Effectively in Mathematics Education Research" has been written. This webinar summarizes the major points of this report and discuss their relevance to researchers in statistics education.

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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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  • March 13, 2007 webinar presented by Andrew Zieffler, University of Minnesota, and hosted by Jackie Miller, The Ohio State University. The interdisciplinary field of inquiry that is statistics education research spans a diverse set of disciplines and methodologies. A recent review of a subset of this literature, the research on teaching and learning statistics at the college level, was used to raise some practical issues and pose some challenges to the field of statistics education. These are addressed in this CAUSE webinar. In addition, a recent doctoral dissertation study is used to illustrate some of these challenges and offer suggestions for how to deal with them.

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  • May 26, 2009 Activity webinar presented by Dennis Pearl, The Ohio State Unversity, and hosted by Leigh Slauson, Otterbein College. This webinar describes a computer lab activity using the Flash-based applet at www.causeweb.org/mouse_experiment to teach key principles regarding the value of random assignment. These include: 1) how it helps to eliminate bias when compared with a haphazard assignment process, 2) how it leads to a consistent pattern of results when repeated, and 3) how it makes the question of statistical significance interesting since differences between groups are either from treatment or by the luck of the draw. In this webinar, the activity is demonstrated along with a discussion of goals, context, background materials, class handouts, and assessments.
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  • June 23, 2009 Activity webinar presented and hosted by Leigh Slauson, Otterbein College. This webinar describes an activity that uses the playlist from an iPod music player to teach the concept of random selection, the various sampling techniques, and the use of simulation to estimate probability. The webinar includes a discussion of the background of this activity, the learning goals of the activity, how this activity can be adapted to different levels of technology, suggestions for assessment, and other supplemental reference materials. (handouts and other materials available for free download)
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  • A sketch by Anastasia Mandel reinterpreting "Mont Sainte-Victoire" by Paul Cezanne (1898) with the statistical caption "A skewed distribution, but the same mountain (always look at things from different angles)." This is part of a collection of sketches by Anastasia Mandel and their accompanying statistical captions written by Stan Lipovetsky and Igor Mandel that took first place in the cartoon & art category of the 2009 A-Mu-sing contest sponsored by CAUSE. The collection and their accompanying statistical captions discussed in the paper "How art helps to understand statistics" (Model Assisted Statistics and Applications, 2009) by Stan Lipovetsky and Igor Mandel in volume 4 pages 313-324. Free to use in classrooms and on course websites.
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  • A sketch by Anastasia Mandel reinterpreting "Field with Flowers" by Vincent Willem van Gogh (1883) with the statistical caption "Experimental Design, decades before Fisher." This is part of a collection of sketches by Anastasia Mandel and their accompanying statistical captions written by Stan Lipovetsky and Igor Mandel that took first place in the cartoon & art category of the 2009 A-Mu-sing contest sponsored by CAUSE. The collection and their accompanying statistical captions discussed in the paper "How art helps to understand statistics" (Model Assisted Statistics and Applications, 2009) by Stan Lipovetsky and Igor Mandel in volume 4 pages 313-324. Free to use in classrooms and on course websites.
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  • The idea that the examination of a relatively small number of randomly selected individuals can furnish dependable information about the characteristics of a vast unseen universe is an idea so powerful that only familiarity makes it cease to be exciting Is a quote from American Educational Statistician Helen Mary Walker (1891 - 1983). Helen Walker was the first women to serve as the president of the American Statistical Association and this quote is from her December 27, 1944 presidential address at the 104th annual meeting of the ASA in Washington, D.C. The full address may be found in the "Journal of the American Statistical Association" (1945; vol. 40, #229 p. 1-10).

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  • A cartoon to teach the idea that sampling variability depends on the size of the sample, and not on the size of the population (as long as the sample is a small part of the population). Cartoon drawn by British cartoonist John Landers based on an idea from Dennis Pearl. Free to use in the classroom and for course websites.

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