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Searched for: Statistical Topic is Statistical Inference and Techniques -- Estimation Principles
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View Resource Gallery: Reinterpreting Michelangelo Merisi da Caravaggio

A sketch by Anastasia Mandel reinterpreting The Cardsharps by Michelangelo Merisi da Caravaggio (c. 1594-1596) with the statistical caption "A naive Bayes estimation." 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...

http://www.causeweb.org/resources/fun/db.php?id=300
View Resource Webinar: Introduction to Estimation - The German Tank Problem

September 22, 2009 Activity Webinar presented by Diane Evans, Rose-Hulman Institute of Technology and hosted by Leigh Slauson, Capital University. This webinar is based on an activity found at www.lhs.logan.k12.ut.us/~jsmart/tank.htm and other on-line resources (see references). During World War II, the British and U.S. statisticians used estimation methods to deduce the productivity of...

http://www.causeweb.org/webinar/activity/2009-09/
View Resource Quote: Kay on Prediction

"The best way to predict the future is to invent it." This is a quote by American computer scientist Alan C. Kay (1940 - ). The quote was said at a 1971 meeting of Xerox Corporation's Palo Alto Research Center.

http://www.causeweb.org/resources/fun/db.php?id=326
View Resource Webinar: Bayes Goes to Bat: using baseball to introduce Bayesian estimation

July 28, 2009 Activity webinar presented by Jo Hardin, Pomona College, and hosted by Leigh Slauson, Otterbein College. Based on an activity by John Spurrier, this webinar uses a baseball example to introduce students to Bayesian estimation. Students use prior information to determine prior distributions which lead to different estimators of the probability of a hit in baseball. The webinar also...

http://www.causeweb.org/webinar/activity/2009-07/
View Resource Cartoon: Entering Chicago

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.

http://www.causeweb.org/resources/fun/db.php?id=292
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