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  • This archive contains datasets from articles in the Journal of the American Statistical Association.
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  • These are MIT's epidemiology database pages. Mortality data for the United States from 1890-1997, Japan from 1951-1994, and Massachusetts, New York, Pennsylvania, Illinois, California, Texas and Florida dating back to the late 1950's are provided.
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  • This short article gives a basic outline of Bloom's Taxonomy and writing learning objectives. It includes a brief description of what types of verbs to use in writing learning objectives and links these verbs to the levels of Bloom's Taxonomy.
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  • As quoted on the site, "The National Center for Catastrophic Sport Injury Research collects and disseminates death and permanent disability sports injury data that involve brain and/or spinal cord injuries." Links to data, annual reports, and definitions of injury are included.
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  • This site offers a list of sample questions that can be used when teaching basic probability concepts, probability distributions, data collection methods, inferential statistics, hypothesis testing, analysis of variance, regression analysis, or problem sensing related to descriptive statistics. Links to the answers are also provided. Application is not limited to business.
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  • In this handout, students are asked to compare the ages of terminated employees to the ages of retained employees. Students will use the comparison to decide if the data supports the conclusion of age discrimination.
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  • This site provides links to tests and quizzes for the Statistics and Data Analysis for Public Policy and Sociology course at Duke University for 1992 through 1995.
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  • MacAnova is a free, noncommercial, interactive statistical analysis program for Windows 95/98/NT, Windows 3.1 with Win32s, Macintosh and Unix. MacAnova has many capabilities but its strengths are analysis of variance and related models, matrix algebra, time series analysis (time and frequency domain), and (to a lesser extent) uni-variate and multi-variate exploratory statistics.
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  • Lisp-Stat is an extensible statistical computing environment for data analysis, statistical instruction and research, with an emphasis on providing a framework for exploring the use of dynamic graphical methods. The object-oriented programming system is also used as the basis for statistical model representations, such as linear and nonlinear regression models and generalized linear models. Many aspects of the system design were motivated by the S language.
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  • This web page contains concise historical information from the Census Bureau in either pdf or Excel format.
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