Resource Library

This issue contains an interview with Sallie Keller-McNulty and an article about which came first -- the chicken or the egg. Other articles include a discussion related to an AP Statistics example of seeing the trees for the forest (this focuses on understanding variability between groups and within groups), a discussion of how high r can go, a simulation piece focused on shrinking students, poisoned children, and bootsraps, and an example of a permutation test of the Challenger O-Ring data.

This issue contains articles about microarray data and the partnership between statisticians and biologists, ASA Stat Bowl at JSM 2005, an interview with Stat Bowl 2004 champion Jesse Frey, USCOTS 2005 plans, cluster sampling, an analysis of Civil War intelligence sleuth's Alan Pinkerton's incompetence.

This issue contains articles about the birthday problem probabilities using simulation analysis using R; making money on eBay using multiple regression to estimate prices of violins; McDonald's French fry actual mass vs. industry standard mass student project; PC vs. Mac computers survey of Harvard students; EESEE electronic story and exercise encyclopedia; 12 types of variables used in statistical analysis; the history of probability in the Enlightenment for rational decisions in law, science, and politics.

This issue contains articles about statistics in sports, including batting average, using scatterplots to predict the winners of long-distance races, regression analysis and the NFL, determining the greatest cyclist ever, simulation in public opinion polls, and determining the "best" athletes for cycling and baseball.

This issue contains articles about binomial confidence intervals; the team effect in stock car racing; using multiple tests (one-sample t-test and sign test); the "two-envelope exchange paradox" (similar to the Monty Hall problem) with discussions of expectation, likelihood, and inference; regression line vs. trend line; calculations of standard normal table values and pi; teaching at a small liberal arts college; modeling extreme events.

This issue contains articles about steroids in baseball; finding ways to make learning statistics fun; an interview with Joan Garfield about Statistics Education; an introduction to response surface methodology; and a look at the vocabulary used in experimental design.

A sketch by Anastasia Mandel reinterpreting Government Bureau by George Tooker (1956) with the statistical caption "Queuing theory and implementation." This is part of a collection of sketches by Anastasia Mandel and their accompanying statistical captions discussed in the paper "How art helps to understand statistics" (Model Assisted Statistics and Applications, 2009) by Stan Lipovetsky and Igor Mandel in volume 4 pages 313-324. Free to use in classrooms and on course websites.

A sketch by Anastasia Mandel reinterpreting Fortune-Teller by Michail Vrubel (1895) with the statistical caption "It helps when other statistical techniques fail." This is part of a collection of sketches by Anastasia Mandel and their accompanying statistical captions discussed in the paper "How art helps to understand statistics" (Model Assisted Statistics and Applications, 2009) by Stan Lipovetsky and Igor Mandel in volume 4 pages 313-324. Free to use in classrooms and on course websites.

A sketch by Anastasia Mandel reinterpreting View of Mount Fuji by Utagawa Hiroshige (1859) with the statistical caption "Survival analysis." This is part of a collection of sketches by Anastasia Mandel and their accompanying statistical captions discussed in the paper "How art helps to understand statistics" (Model Assisted Statistics and Applications, 2009) by Stan Lipovetsky and Igor Mandel in volume 4 pages 313-324. Free to use in classrooms and on course websites.

A sketch by Anastasia Mandel reinterpreting Valencian Fisherman by Joaquin Sorolla y Bastida (1895) with the statistical caption "Networking, not neural yet." This is part of a collection of sketches by Anastasia Mandel and their accompanying statistical captions discussed in the paper "How art helps to understand statistics" (Model Assisted Statistics and Applications, 2009) by Stan Lipovetsky and Igor Mandel in volume 4 pages 313-324. Free to use in classrooms and on course websites.