College --Undergrad Upper Division

  • This is the homepage for the Reserve Bank of Australia. Browse data by Alphabetical Index of Statistics, Statistics by Frequency of Publication, or Bulletin Statistical Tables.
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  • These datasets come from the book "STAT LABS: Mathematical Statistics Through Applications." Below the link for each dataset are descriptions of the variables for that dataset. Datasets are in text format and address topics such as maternal smoking and infant health, video games, radon, cytomegalovirus DNA, HIV, crab molting, voting, snow gauge calibration, down syndrome, and tape drive quality.
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  • This site links to social science data archives all over Europe. By clicking "The Cataloge" users can search for datasets from any country's data archive or go directly to a data archive website by clicking the name of the country. By clicking "The Map" users can see a map of the locations of European data archives and click the country whose archive they would like to see. Some archives require registration to access the datasets.

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  • This collection of datasets addresses social science issues and is housed at the University of Wisconsin. Free registration is required to access the datasets.
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  • This page from the Bureau of Labor Statistics provides data and statistics on Inflation & Consumer Spending, Wages, Earnings, & Benefits, Productivity, Safety & Health, International Labor, Occupations, and Demographics. Data is in Excel, html, or pdf format.
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  • This tutorial introduces the statistical software SPSS for Windows users. Topics covered include: The Basics, Data, Descriptive Statistics, Chi-square & T-tests, Correlations & Regression, Oneway ANOVA, Factorial ANOVA.
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  • This collection of datasets from Harvard University covers many ecological topics from insects to hurricanes. Each dataset's description includes the name of the investigator, dates of collection, location, abstract, and method of collection. The metadata file for each dataset provides descriptions of the variables. Please read the terms of agreement before use.
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  • Song includes vocabulary from fitting models, including outliers and assumptions. May be sung to tune of "You've Got Your Models" (The Fortunes). Musical accompaniment realization and vocals are by Joshua Lintz from University of Texas at El Paso.
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  • Song playfully celebrates Bayesian inference and includes various vocabulary such as coherence, prior, and exchangeable. May be sung to the tune of "Strangers in the Night" (Kaenpfert/Singleton/Snyder). Musical accompaniment realization and vocals are by Joshua Lintz from University of Texas at El Paso.
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  • Song celebrates Bayesian inference, includes verbal form of Bayes theorem. The lyrics were written by David Blackwell, University of California at Berkeley. May be sung to the tune of "Who (Stole My Heart Away)?" (Jerome Kern).  The audio was produced by Nicolas Acedo with vocals by Abeni Merriweather, both students in the Commercial Music Program at The University of Texas at El Paso.

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