Resource Library

The applets in this section of Statistical Java allow you to see how levels of confidence are achieved through repeated sampling. The confidence intervals are related to the probability of successes in a Binomial experiment. The main page gives the equation for finding confidence intervals and describes the parameters (p, n, alpha). Each applet allows you to change a different parameter and simulate sampling to demonstrate the long run proportion of intervals that contain the true probability of success. The applets are available from a pull-down menu at the bottom of the page. This page was formerly located at http://www.stat.vt.edu/~sundar/java/applets/CI.html

This resource includes problem-based teaching and learning materials for statistics that are based around specific problems arising in biology, business, geography and psychology. The STEPS modules are intended to be used as problem-based lab material that may support existing coursework.

This resource is a collection of links for students and teachers of statistics. For students, it includes links to find statistical data. For teachers, it includes links to assist in statistics instruction.

This applet allows students to manipulate a histogram and observe changes in the mean and median. The site includes links to exercises and descriptions of measures of center and spread.

This worksheet gives students 4 excercises in designing a case study. Each exercise presents a difference scenario and asks a series of questions about study design.

Statistics is a poem by Canadian physician Neil Harding McAlister (1952 - ). The poem contains material that can help with class discussions about sample surveys, medical experiments, and significance testing.

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 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.

This activity allows the user to create and manipulate histograms with built-in or user-specified data, and provides links to discussion and exercise questions. The mean and standard deviation of each data set are also calculated and the bin width of each histogram can be changed by the user.

This tutorial illustrates the basic principles of the Central Limit Theorem and enhances conceptual understand of why the Central Limit Theorem is important to inferential statistics.