Resource Library

This resource contains a broad range of information concerning statistics. It is divided up into 18 chapters and also includes links to other resources pertaining to statistics.

The applets in this section of Statistical Java allow you to see how the Central Limit Theorem works. The main page gives the characteristics of five non-normal distributions (Bernoulli, Poisson, Exponential, U-shaped, and Uniform). Users then select one of the distributions and change the sample size to see how the distribution of the sample mean approaches normality. Users can also change the number of samples. To select between the different applets you can click on Statistical Theory, the Central Limit Theorem and then the Main Page. At the bottom of this page you can make your applet selection. This page was formerly located at http://www.stat.vt.edu/~sundar/java/applets/

This website helps students learn concepts underlying statistical inference, through the simulation software, Sampling SIM. This software lets students explore sampling distributions by building population distributions, taking random samples, and exploring the behavior of sampling distributions and confidence intervals. The site includes instructional modules and assessment instruments. Key words: measures of center, sampling, sampling distribution, confidence interval, p-values, power

This chapter of the HyperStat Online Textbook presents six sections on probability including conditional probability, unions, intersections, and the Binomial distribution. A link to exercises for the chapter is available, as well as a link to an applet that demonstrates the approximation of the binomial with a normal distribution (in section 5).

A slideshow presentation with two good examples on using the Z-test for the difference between two means. Gives some good "plain language" interepretations of what "statistically significant difference" means.

Textbook-like example showing the independent t-test. Gives a nice way for students to think through the problem and interpret results.

Gives a basic explanation with diagrams of the one and two-tailed t-tests.

Gives some examples of two sample proportions. Shows how to answer using formulas and minitab.

This activity allows users to create and manipulate boxplots for either built-in data or their own data. Discussion, exercise questions, and lesson plans regarding boxplots are linked to the applet.

An explanation of scatter plots, their use, purpose and interpretation. It provides examples of the various relationships described by scatter plots as well as case studies and related techniques.