Independent Samples t-Test: Chips Ahoy® vs. Supermarket Brand part of Testing Conjectures:Examples
In this hands-on activity, students count the number of chips in cookies in order to carry out an independent samples t-test to compare Chips Ahoy® cookies and a supermarket brand. It can involve discussion of randomness and independence of samples, comparing two parameters with null and alternative hypotheses, and the practical issues of counting chips in a cookie.

Coke vs. Pepsi Taste Test: Experiments and Inference about Cause part of Teaching with Data Simulations:Examples
The Coke vs. Pepsi Taste Test Challenge has students design and carry out an experiment to determine whether or not students are able to correctly identify two brands of cola in a blind taste test. In the first ...

Judging Randomness part of Inventing and Testing Models:Examples
This model-eliciting activity has students create rules to allow them to judge whether or not the shuffle feature on a particular iPod appears to produce randomly generated playlists. Because people's ...

Reese's Pieces Activity: Sampling from a Population part of Teaching with Data Simulations:Examples
This activity uses simulation to help students understand sampling variability and reason about whether a particular samples result is unusual, given a particular hypothesis. By using first candies, then a web applet, and varying sample size, students learn that larger samples give more stable and better estimates of a population parameter and develop an appreciation for factors affecting sampling variability.

Influence of Outliers on Correlation part of Teaching with Data Simulations:Examples
In this visualization activity, students will observe their instructor create a scatterplot and observe how the correlation coefficient changes when outlier points are added. Students are then given a follow up assignment which guides them through the applet. In addition, the assignment provides insight about outliers and their effect on correlation.

Reasoning About Center and Spread: How do Students Spend Their Time? part of Testing Conjectures:Examples
This activity helps students develop better understanding and stronger reasoning skills about distributions in terms of center and spread. Key words: center, spread, distribution

Using an Applet to Demonstrate the Sampling Distribution of an F-statistic part of Interactive Lectures:Examples
This visualization activity combines student data collection with the use of an applet to enhance the understanding of the distributions of mean square treatment (MST), mean square error (MSE) as well as their ratio, an F-distribution. Students will see theoretical distributions of the mean square treatment, mean square error and their ratio and how they compare to the histograms generated by the simulated data.

Developing hypotheses using GeoMapApp part of Inventing and Testing Models:Examples
This lab uses a number of different geologic and geophysical data sets from the free and downloadable program, GeoMapApp to develop a hypothesis about what geologic environment is occurring in the Gulf of Aden in Africa.

Nature of the chi-square distribution part of Cooperative Learning:Examples
Explaining the chi-square and F distributions in terms of the behavior of variables constructed by generating random samples of normal variates and summing the sqaures of the values.

Statistics and Error Rates in Death Penalty Cases part of Cooperative Learning:Examples