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 Choosing an Experimental Design (Engineering Statistics Handbook) This section of the Engineering Statistics Handbook, created by authors Alan Heckert and James Filliben of the National Institute of Standards and Technology, describes in detail the process of choosing an experimental design to obtain the results you need. The basic designs an engineer needs to know about are described in detail. Overall, this is a great resource for anyone interested in either... http://www.itl.nist.gov/div898/handbook/pri/section3/pri3.ht...
 Probability Problems from Interactive Mathematics Miscellany and Puzzles Here one finds a collection of applets and famous problems in probability (as well as other areas of mathematics such as calculus and geometry). Some of the topics/problems include: Bertrand's Paradox, Birthday Coincidence, Buffon's Needle (Noodle), Lewis Carroll's Problem, Monty Hall Dilemma, Parrondo Paradox, and Three pancakes problem. This is a great introductory package of materials for... http://www.cut-the-knot.org/probability.shtml
 Full Factorial Example (Engineering Statistics Handbook) This section in the Engineering Statistics Handbook takes a data set and walks the user through analysis and experimental design based on the data. The site is created by authors Alan Heckert and James Filliben, together they intertwine text and images, just like a textbook, to better illustrate this topic. Overall, this is a good resource for teachers and students interested in either... http://www.itl.nist.gov/div898/handbook/pri/section4/pri471....
 Can You Beat Randomness: The Lottery Game This is the description and instructions for the Can You Beat Randomness? : The Lottery Game applet. It is a simulation of flipping coins. Students are asked to make conjectures about randomness and how certain strategies affect randomness. It strives to show the "growth of order out of randomness." This is a great resource for any mathematics classroom interested in statistics and... http://polymer.bu.edu/java/java/winning/WinningStreak.html
 Monte Carlo Estimation for Pi This is the description and instructions for the Monte Carlo Estimation of Pi applet. It is a simulation of throwing darts at a figure of a circle inscribed in a square. It shows the relationship between the geometry of the figure and the statistical outcome of throwing the darts. http://polymer.bu.edu/java/java/montepi/MontePi.html
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