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  • CAST contains three complete introductory statistics courses, one advanced statistical methods course, and additional modules. Each introductory course presents the same topics, but with different applications. The first is a general version, the second is a biometric version with examples relating to biological, agricultural and health sciences, and the third is a business version. Each course comes in a student version and a lecture version. The additional modules cover Multiple and Nonlinear Regression, Quality Control, and Simulation. Registration is required, but free. Individuals or classes can register.
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  • This page gives a history of notation and symbols and who developed them for combinatorial analysis, the normal distribution, probability, and statistics. Quotes from the first papers to use these symbols are also given.
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  • This tutorial opens with a survey on polling. Upon completing the survey, students are taken through an election example which uses polling to explain random sampling, bias, margin of error, and confidence intervals.
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  • This applet introduces the concept of confidence intervals. Select an alpha level, sample size, and the number of experiments, and click "Play." For each sample, the applet will show the data points as blue dots and the confidence interval as a red, vertical line. The true population mean is shown as a horizontal purple line, and green ovals indicate which intervals do not contain the true mean.
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  • This page provides a t-table with degrees of freedom 1-30, 60, 120, and infinity and seven levels of alpha from .1 to .0005.

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  • This page provides a z-table with alpha levels from .00 to .09.

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  • This page provides a table of Chi-square distribution probabilities with degress of freedom 1-45.
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  • This page provides a table of F distribution probabilities for alpha = 0.10, 0.05, 0.025, and 0.01.

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  • This table shows the critical values values of the Wilcoxon-Mann-Whitney statistics (Us) for various sample sizes (N1 and N2) and p-values (p).
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  • This collection of datasets from Princeton University each come with detailed descriptions of the data's history, how it was collected, and the data quality. Scroll down to "OPR Data Catalog Search" and either type your search terms into the search box or click "complete listings" to browse the archive. Data is available in text format.
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