Statistical Inference & Techniques

  • A song that may be used in discussing the meaning and interpretation of the confidence level for a confidence interval. The lyrics were written by Mary McLellan from Aledo High School in Aledo, Texas as one of several dozen songs created for her AP statistics course. The song may be sung to the tune of the Beatles 1965 hit song Can’t Buy Me Love, written by Paul McCartney. Also, an accompanying video may be found at
    https://www.youtube.com/watch?v=vc6gJAm3cMY

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  • A song that may be used in discussing the value of blocking (or matching) in reducing variation in an experiment.  The lyrics were written by Mary McLellan from Aledo High School in Aledo, Texas as one of several dozen songs created for her AP statistics course. The song may be sung to the tune of the 1966 Beach Boys hit "Good Vibrations".  Also, an accompanying video may be found at https://www.youtube.com/watch?v=TPCnjwyH8As

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  • A song to be used in discussing the idea that the null hypothesis represents the model of no effect (with several common examples). The original music and lyrics were written in 2017 by Greg Crowther from Everett Community College. The song won an honorable mention in the 2017 A-mu-sing contest. In the current 2018 version the music is by Greg Crowther and the revised lyrics and vocals are by Greg Crowther and Larry Lesser from University of Texas at El Paso.

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  • "This page contains data sets provided by UCLA faculty members in the Social Sciences, OBEE, and Economics departments. The purpose of the page is to provide vivid, real-life examples of how raw data is analyzed using computer programs such as STATA for introductory statistics classes such as Stat 11, Stat 12 and Stat 13." The format of the data is .dta.
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  • This collection of data can be used for many useful statistical analyses. Data and description are in a separate file and useful for SAS data analysis too. Data are categorized by analysis type, hence easy to pic relevant data sets accordingly. The data can be used for many analysis such as, Categorical data analysis, Polynomial Linear, Nonlinear, Logistic, Poisson, Negative Binomial Regression analysis, Response Surface Regression, Binary Response Regression, Time Series Data,1-Way ANOVA/ Independent Samples t-test, Multi-Factor ANOVA, and many other data analysis.
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  • Data sets were submitted by the authors of articles in JSE. Each data set is presented along with a link to the article that references the data.
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  • "The purpose of this electronic service is to provide access to a collection of datasets suitable for teaching statistics. The datasets are stored either locally or on other computers throughout the world. The datasets have been organized by statistical technique to make it easier for you to find a dataset appropriate for your pedagogical needs. When a dataset is appropriate for several statistical techniques, it will appear under several categories. Each dataset consists of three files: one is a description of the data; the others are an ascii (text) file of the data and an Excel file of the data."
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  • Many data sets useful for modeling bivariate relationships. The data sets are formatted for use in Fathom, but text versions are also available.
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  • This site presents 19 videos of statisticians summarizing a project that they did. Each video is accompanied by a dataset so that viewers can try to recreate the statistics in the video. Video runtimes vary from about 8 minutes to as many as 35 minutes.
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  • This is a collection of data sets that were part of R packages. The data set page includes information on which package the data set comes from, the name of the data set, and the number of rows and columns included. Each set is given in .csv form with a documentation file also.
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