Lecture/Presentation

  • This chapter of the NIST Engineering Statistics handbook "presents the background and specific analysis techniques needed to compare the performance of one or more processes against known standards or one another." It contains an introduction and information about comparisons with one process, two processes, and three or more processes or samples. Topics include outliers, trends, confidence intervals for means and proportions for one sample. Also included are materials on ANOVA, Kruskal Wallis tests, tests for equivalence of variances, variance components, chi-square tests for contingency tables and multiple comparisons.
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  • This chapter of the NIST Engineering Statistics handbook "describes the terms, models and techniques used to evaluate and predict product reliability." It contains an introduction, discussions on the assumptions, and sections on reliability data collection and analysis.
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  • The goal of this handbook is to help scientists and engineers incorporate statistical methods in their work as efficiently as possible.
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  • This site provides a PowerPoint presentation of a lesson and examples of relative risks and odds ratios.
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  • A project of the International Association of Statistics Education (IASE). After a first phase of the project led by the outstanding work of Carol Blumberg, where the emphasis was in the development of a series of webpages that will provide users throughout the world with a data bank of international statistical literacy resources for all audiences and in several languages, ISLP is now moving one step ahead. Besides continuing collecting web-based statistical literacy resources from all over the world, ISLP now actively organizes and promotes statistical literacy activities throughout the world and gets actively involved in other worlwide projects. The webpage is a forum where everyone can edit and enter their statistics literacy resources and participate in discussions.
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  • This reference resource explores the use of clickers, or personal response systems, in the classroom. Main points of discussion include what clickers are, who is using them, what makes them unique, why they are considered significicant, the downsides, and teaching and learning implications.
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  • Free access to selected Internet resources covering all subject areas. This statistics research section includes links to journals, articles, data, and statistical associations.
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  • This site contains data sets to help teach a Chance course and help students understand issues that may not be found in a standard statistics text. Topics covered include: mean, median, random walks, regression, correlation, and more.
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  • This page introduces the definition of sufficient statistics and gives two examples of the use of factorization to prove sufficiency.
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  • These slides address point estimation including unbiasedness and efficiency and the Cramer-Rao lower bound.
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