Resource Library

This online, interactive lesson on special distributions provides examples, exercises, and applets covering normal, gamma, chi-square, student t, F, bivariate normal, multivariate normal, beta, weibull, zeta, pareto, logistic, lognormal, and extreme value distributions.

This site give a definition and an example of boxplots. Topics include outliers, medians, as well as lower and upper quartiles.

This site links to the article "Use of R as a Toolbox for Mathematical Statistics Exploration," to activities demonstrating the use of R programming language, and to the site where users can download R. Activities cover the following topics: calculation of a running variance, maximization of a non-linear function, resampling of a statistic, simple Bayesian modeling, sampling from multivariate normal, and estimation of power.

This site gives a definition and an example of scatterplots. Topics include positive and negative association.

This site gives a definition and an example of numerical summaries. Topics include mean, median, quantiles, variance, and standard deviation.

This site gives a definition and an example of normal distributions. Topics include assessing normality and normal probability plots.

This site gives a definition and an example of categorical data. Topics include two-way tables, bar graphs, and segmented bar graphs.

This website provides lesson plans, activities, a problem bank, and links to references that meet NCTM standards for probability.

This section of the Engineering Statistics Handbook describes in detail the process of choosing an experimental design to obtain the results you need. The basic designs an engineer needs to know about are described in detail.

The GAISE project was funded by a Strategic Initiative Grant from ASA in 2003 to develop ASA-endorsed guidelines for assessment and instruction in statistics in the K-12 curriculum and for the introductory college statistics course.