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  • A sketch by Anastasia Mandel reinterpreting Government Bureau by George Tooker (1956) with the statistical caption "Queuing theory and implementation." This is part of a collection of sketches by Anastasia Mandel 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 Fortune-Teller by Michail Vrubel (1895) with the statistical caption "It helps when other statistical techniques fail." This is part of a collection of sketches by Anastasia Mandel 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 View of Mount Fuji by Utagawa Hiroshige (1859) with the statistical caption "Survival analysis." This is part of a collection of sketches by Anastasia Mandel 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 Valencian Fisherman by Joaquin Sorolla y Bastida (1895) with the statistical caption "Networking, not neural yet." This is part of a collection of sketches by Anastasia Mandel 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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  • This is a site that contains a number of types of material that can be used in teaching about chance and probability. Lesson plans, syllabi, suggested activities, and data sets are available. The data sets contain interesting information for students such as: quarterback passing rating data, baseball streaks, and baseball salaries that can be used to illustrate means, medians, etc.. The site also contains a link to the Chance News (which is now a wiki on CAUSEweb).

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  • For anyone who wants to know more about what an actuary does or how to become an actuary (including a comprehensive list of colleges with actuarial programs), this is an excellent resource.

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  • This site is a collection of information about references to mathematics (and probability/statistics) in fiction. Users can see an entire list (sorted by author, title or publication date)and can browse through the database to find references by genre, topic, motif or medium.

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  • In this module, students can test their knowledge of levels of measurement by attempting to determine the the level of measurement of ten different variables. For each variable, a statement is also provided and students can indicate whether the statement about the variable is valid or invalid (given the way in which the variable was measured). There is also a brief "refresher" included here about levels of measurement.

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  • May 25, 2010 Activity webinar presented by Ivan Ramler, St. Lawrence University and hosted by Leigh Slauson, Capital University. This webinar discusses an undergraduate Mathematical Statistics course project based on the popular video game Guitar Hero. The project included: 1) developing an estimator to address the research objective "Are notes missed at random?", 2) learning bootstrapping techniques and R programming skills to conduct hypothesis tests and 3) evaluating the quality of the estimator(s) under certain sets of scenarios.

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  • June 22, 2010 Activity webinar presented by Paul Roback, St. Olaf College and hosted by Leigh Slauson, Capital University. This webinar describes an in-class activity, motivated by Case Study 1.1.1 in The Statistical Sleuth, in which students compose haiku poems about statistics. Their poems are used to introduce two-sample t-tests and randomization tests. In addition, the in-class experiment leads to good discussion about experimental design issues, where students compare our design to the actual experiment described in Amabile et al.(1985) "Motivation and Creativity: Effects of Motivational Orientation on Creative Writers", Journal of Personality and Social Psychology 48(2): 393-399. I use this activity on the first day of our second course in applied statistics (Statistical Modeling), but it could easily be used in an introductory course as well. Examples of haiku poems which have resulted from this activity can be found under CAUSEweb > Resources > Fun > Poem (direct link), or at www.causeweb.org/cwis/SPT--FullRecord.php?ResourceId=1883.

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