Statistical Inference & Techniques

  • This page from the Bureau of Justice Statistics contains links to statistics about the criminal justice system. Some topics include: crime & victims; law enforcement; courts and sentencing; and expenditure & employment.
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  • This site provides tables of population, GNI per capita, total GNI, PPP GDP, and country classifications which can be used to make regional comparisons for people, environment, economy, states and markets, and global links. The data sets are from the year 2003. The tables are in Adobe Acrobat format.
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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 is an article which contains background information as well as 14 tables for the hate crime statistics in 2000. The document is divided into methodology, hate crime statistics, and jurisdictional hate crime statistics. The file is in Adobe Acrobat format.
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  • This page from the Social Security Administration's website gives links to various tables of data about Medicare, Social Security, Taxes, etc. Data files are available as pdf, html, or Excel files.
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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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  • 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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  • ViSta constructs very-high-interaction, dynamic graphics that show you multiple views of your data simultaneously. The graphics are designed to augment your visual intuition so that you can better understand your data.

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