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 Experimental Design (Industrial DOE) This site, created by StatSoft, Inc., provides detailed discussions of many different types of experimental designs and examples with tables, graphs, and links to other detailed sites. The page combines text and images to help users better understand the theories presented. Overall, this is a complex website with many different areas to explore in the world of statistics. http://www.statsoft.com/Textbook/Experimental-Design/button/...
 Probability Sampling This site, created by author William M.K. Trochim, describes in detail five different types of random sampling. Some of these types include: simple random, stratified random, systematic random, cluster random, multi-stage sampling. The author provides examples, definitions, and the procedures behind the methods. Overall, this site provides a nice overview of probability sampling. http://www.socialresearchmethods.net/kb/sampprob.htm
 Understanding ANOVA Visually Visual ANOVA is a program, created by Professor Tom Mallory of the University of Utah, that puts the theory on ANOVA into a simple visual whole. It assumes that you've read the instruction, but even if your understanding is incomplete at this time, it is worth playing with Visual ANOVA since that may clear up the big picture for you. http://www.psych.utah.edu/stat/introstats/anovaflash.html
 The t-test Tutorial: Comparing Cultures This tutorial, created by Dale Berger of Claremont Graduate University, takes the learner step-by-step in applying descriptive and inferential statistics using a real world situation. The site focuses on the cultural differences in child rearing in the countries of Belize and Samoa. Overall, this is a great site for applied statistical theories. http://wise.cgu.edu/wise-tutorials/tutorial-t-test/
 Design Case Study: Planning a Study This worksheet, created by Beth Chance and Allan Rossman, provides students with four exercises in designing a case study. Each exercise presents a difference scenario and asks a series of questions about study design. This is a great introduction to applied statistics for any mathematics classroom. http://statweb.calpoly.edu/chance/inspire/salk.doc
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