Resource Library

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.

This online application allows the user to import data from online resources such as Facebook, Google Analytics, GitHub, as well as spreadsheets on their own computers. They can then drag-and-drop variables to make graphs automatically. The basic version is free, but you can upgrade to a paid version which allows combining data across services and, if the data come from an online resource, the user has the choice to have Data Hub keep the graphs updated as the data changes.

The Census Bureau has made many data visualizations of the data it collects. It is a good collections of maps, treemaps, an age/sex pyramid, and of course more familiar graphs, like bar graphs.

This site did a lot of data visualization on many hot button topics. They provide the raw data that they used to create their graphs at this page. These data sets are kept in Google Doc spreadsheets.

A quote to be used in discussing how sufficient data should be able to trump an hypothesis. The quote is by English philosopher and pioneering feminist Mary Wollstonecraft (1759 – 1797) from her 1792 book "A Vindication of the Rights of Woman." .

A quote that might be used in discussing the research cycle where data is gathered in order to reduce uncertainty, which in turn leads to refinement of models and a new quest to reduce remaining uncertainty. The quote is by American educator and classicist Edith Hamilton (1867 – 1963) from her book Spokesmen for God (1949). The quote may also be found at www.quotationsbywomen.com.

A quote to aid in discussing the idea that uncertainty is undesirable but knowledge of it is desirable in statistics. The quote is by British actress and writer Frances Anne Kemble (1809 – 1893) written in 1838 and quoted in the 1972 book Fanny Kemble Wister, editor, "Fanny: The American Kemble: her journals and unpublished letters."

A quote to aid in discussing the foundational idea in statistics of the importance of understanding the nature of uncertainty. The quote is by Israeli-American educator, computer scientist, and co-founder of the Coursera online platform Daphne Koller (1968 - ). The quote is found in the May 3, 2008 New York Times story on Dr. Koller.

A quote to aid in discussing drawing meaning out of data and the ethical presentation of results. The quote is from Susan Etlinger (1962 - ) an industry analyst for the Altimeter Group from her September 2014 TED talk.

A quote to aid in discussing the ideas of adaptive experimental designs. The quote is by Statistician, and pioneer in adaptive design, Nancy Flournoy (1947 - ) from her 2015 interview by William Rosenberger in Statistical Science: "A Conversation with Nancy Floury."