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Searched for: Statistical Topic is Statistical Inference and Techniques -- Estimation Principles
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View Resource Song: Call It Maybe

A song for teaching concepts of estimating a population mean and addressing uncertainty in the estimate. The lyrics were written by Lawrence Mark Lesser from University of Texas at El Paso as a parody of the 2011 song "Call Me Maybe" written by Carly Rae Jepsen, Tavish Crowe, and Josh Ramsay). The lyrics were awarded second prize in the 2013 CAUSE A-Mu-sing competition. Free for non-profit...

http://www.causeweb.org/resources/fun/db.php?id=502
View Resource Song: The C-R Lower Bound

A song for teaching about the Cramer Rao Lower Bound for the variance of an unbiased estimate. The lyrics were written by Kyle White and Bradley Turnbull from North Carolina State University as a parody of the 2003 track "Jerk It Out" by the Swedish band Caesars. The song won first prize in the song category in the 2013 CAUSE A-Mu-sing competition and is performed by The Fifth Moment, an NCSU...

http://www.causeweb.org/resources/fun/db.php?id=505
View Resource Cartoon: The Ground Hog's Prediction

A cartoon to use in discussing the importance of indicating the variability associated with any prediction. The cartoon is the work of Theresa McCracken and appears as #5756 on McHumor.com (appearing here with a statistics-based caption change suggested by Dennis Pearl). Free for non-profit use in statistics course such as in lectures and course websites.

http://www.causeweb.org/resources/fun/db.php?id=433
View Resource Webinar: A Guitar Hero Based Project in Mathematical Statistics

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...

http://www.causeweb.org/webinar/activity/2010-05/
View Resource **Confidence Interval Tutorial

This tutorial introduces students to the basics of confidence intervals in a Q & A format with options for entering answers to questions and having those answers checked.

http://people.hofstra.edu/stefan_waner/realworld/finitetopic...
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