Resource Library

This dataset comes from a study of 23 healthy male subjects in a five period crossover study. Each subject followed a randomly allocated sequence of five treatments. Blood samples were collected and serum ethanol levels were recorded. Questions from this study refer to the drug-alcohol interaction. A text file version of the data is found in the relation link.

This dataset comes from a study of 16 healthy males allocated to 1 of 2 treatment sequences: wafer/tablet or vice versa. Blood samples were taken and plasma levels were recorded. Questions from this study refer to whether the wafer treatment and the tablet treatment are equivalent. A text file version of the data is found in the relation link.

This resource explains margin of error using an example on presidential popularity polls.

This resource discusses sample sizes and how they are chosen.

This site presents may articles on current events and issues that challenge statistics reported in the news. Each article encourages readers to think critically about statistics reported by the media and to look at the whole picture before believing conclusions presented in the news. "Our goals are to correct scientific misinformation in the media resulting from bad science, politics, or a simple lack of information or knowledge."

This site contains links to journals on probability and statistics published around the world. "Some publishers require registration to browse abstracts. Others require a current subscription to the journal by you or your institution. Most browsable titles, abstracts and papers are only for the past year or so."

This collection of datasets, posted by UCLA, is divided into 6 groups: Datasets for Teaching; Data from Books; Data from Consulting Projects; Data from National Statistics Agencies; Social Science Data Archives; Data from US Governmental Agencies. The data from books come from the following authors: Petruccelli, Nandram and Chen; Freedman, Pisani, and Purves; Andrews and Herzberg; Carlson and Thorn; Cox and Snell; Hand, Daly, Lunn, McConway and Ostrowski; and Moore.

This applet allows students to explore three methods for measuring "goodness of fit" of a linear model. Users can manipulate both the data and the regression line to see changes in the square error, the absolute error, and the shortest distance from the data point to the regression line.

This lesson poses a series of questions designed to challenge students' possible misconceptions of statistical inference and hypothesis testing. The lesson uses the statistical software, Fathom, and three datasets with information on the number of chips per canister distributed by a snack maker. The data can found at the relation address below.

This JAVA applet assists the user in developing skills to classify a problem as one of the various types of confidence intervals, hypethesis tests and Chi Squared tests. This is not an easy application, but the comprehensive hints provided will improve the users skills in making such classifications.