Resource Library

This site has the data and shows the code you would use to replicate the examples in Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence, by Judith D. Singer and John B. Willett. It has code in SAS, R, Stata, SPSS, HLM, MLwiN, and Mplus.

This site is an interactive, online tutorial for R. It asks the user to type in commands at an R prompt, which are then evaluated. Typing the right thing allows the user to continue on, typing the wrong thing yields an error. The user cannot skip the easier lessons. Lessons are: Using R; Vectors; Matrices; Summary Statistics; Factors; Data Frames; Real-World Data; and What’s Next.

This is an e-book tutorial for R. It is organized according to the topics usually taught in an Introductory Statistics course. Topics include: Qualitative Data; Quantitative Data; Numerical Measures; Probability Distributions; Interval Estimation; Hypothesis Testing; Type II Error; Inference about Two Populations; Goodness of Fit; Analysis of Variance; Non-parametric methods; Linear Regression; and Logistic Regression.

The Comprehensive Epidemiologic Data Resource is a collection of data sets. It includes definitions of each variable in the data set. It requires a login to retrieve the data sets. Registering involves giving your name and address and the name of the study and a detailed description of the intended use of the data.

This complete lesson plan, which includes assessments, is based upon a data set partially discussed in the article "Female Hurricanes are Deadlier than Male Hurricanes." The data set contains archival data on actual fatalities caused by hurricanes in the United States between 1950 and 2012. Students analyze and explore this hurricane data in order to formulate a question, design and implement a plan to collect data, analyze the data by measures and graphs, and interpret the results in the context of the original question.

Lest men suspect your tale untrue, Keep probability in view. is a quote by English poet and playwright John Gay (1685 - 1732). The quote is the first two lines of the poem "The Painter who pleased Nobody and Everybody," which is fable number 18 from the from the 1727 collection "Fables" volume 1.

On this site, students can practice classifying statistics problems. They first click to check the statistical methods that they want to practice classifying. Then they click the "Submit" button to get a description of a research project that involves a statistical technique. Students then click on the technique that will most likely be used in the project. If they choose the incorrect answer, they must read the hint and try again. When they get something correct, they click on the "Next" button to try another problem.

The WISE Bootstrapping Applet can be used to demonstrate bootstrapping by creating a confidence interval for a population mean or median. The user can manipulate the population distribution, sample size, and number of resamples. An associated guide gives suggestions for teaching bootstrapping.

A statistical analysis, properly conducted, is a delicate dissection of uncertainties, a surgery of suppositions. is a quote from Statistician Michael J. Moroney (1940 - ). The quote appears in his 1951 book "Facts from Figures".

This is a song suitable for middle school level statistics in reinforcing key elements of the scientific method. College-level use might include playing before a lecture to lighten the mood while setting up. The song's lyrics and music were composed by Jeff Hall audio file is a performance by the scientific jam band (see www.scientificjam.com/scijam2.htm)