Resource Library

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.

Many data sets useful for modeling bivariate relationships. The data sets are formatted for use in Fathom, but text versions are also available.

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.

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.

"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.

A song to be used in discussions about the meaning of the correlation coefficient (r) and r^2. The lyrics were written by Mary McLellan from Aledo High School in Aledo Texas and are a parody of the 1989 hip hop song "Ice Ice Baby" by Vanilla Ice. The song won an honorable mention in the 2017 A-mu-sing contest.

A video for use in teaching about the dangers of extrapolating well beyond the range of the data in linear regression. The lyrics and Powerpoint components of the video were written by Michael Posner while the vocals were done by Reena Freedman of Villanova University and won first place in the video category of the 2017 A-mu-sing contest. The lyrics parody the song "How Far I'll Go" from the Disney animated feature film Moana (sung by Alessia Cara for the movie soundtrack).

A game to help students learn to visualize the relationship between a scatterplot and the associated correlation coefficient. The Correlation Guessing Game provides panels of four scatterplots and challenges you to match them with four potential values of Pearson's correlation. The game is offered by Wiley Publishing as an online supplement to the introductory statistics book by Prem Mann. The game is a Flash version of a popular game originally created in the 1990's by John Marden at University of Illinois Urbana-Champaign.

A game to help in the active learning of concepts in experimental design, regression, and significance testing. Shapesplosion is an on-line game in which a person is expected to place specifically shaped pegs into the appropriate holes within a short time period. In this project, students are asked to use the Shapesplosion game to design an experiment and collect data. This game is specifically designed so that students have the opportunity to develop and test their own unique research question. You can leave all the variables blank when you are simply trying out the game, however, if you want to find your score is the database of results, you will need to select the Participant Info box. This resource is particularly suitable for project oriented teaching and is part of the Stat2Labs collection at Grinnell College that includes instructor notes and student handouts created with funding from NSF-DUE grant #1043814 (Shonda Kuiper, PI).

A game for use in the active learning of linear regression and sampling biases. TigerSAMPLING is almost identical to TigerSTAT. However in the TigerSAMPLING game there are additional questions that emphasize BIAS and GENERALIZABILITY. These games collect data and explore models for estimating the age of a Siberian tiger. In this game, students act as researchers on a national preserve where they are expected to catch tigers, collect data, analyze their data (using the simple linear regression on transformed data), and draw appropriate conclusions. The TigetSTAT labs handouts were created by Rod Sturdivant (Ohio State University), Kevin Cummiskey (West Point) and John Jackson (West Point). Tietronix Software developed the game. This resource is part of the Stat2Labs collection.