Resource Library

This Electronic Statistics Textbook offers training in the understanding and application of statistics ... and covers a wide variety of applications, including laboratory research (biomedical, agricultural, etc.), business statistics and forecasting, social science statistics and survey research, data mining, engineering and quality control applications, and many others. Quoted from the index page of the text.

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

This collection of applets simulate many different statistical concepts such as: distributions, correlation, hypothesis testing, regression, and ANOVA.

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 site gives an explanation, a definition and an example of inference in linear regression. Topics include confidence intervals for intercept and slope, significance tests, mean response, and prediction intervals.

This site gives an explanation, a definition and an example of multiple linear regression. Topics include confidence intervals, tests of significance, and squared multiple correlation.