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Using Your Hair to Understand Descriptive Statistics part of Testing Conjectures:Examples
The purpose of this activity is to enhance students’ understanding of various descriptive measures in statistics. In particular, students will gain a visual understanding of means, medians, quartiles, and boxplots without doing any computations by completing this activity.

A ducks story- introducing the idea of testing (statistical) hypotheses part of Testing Conjectures:Examples
The ideas and vocabulary of testing statistical hypotheses, from research question to conclusion, are introduced using a simple story regarding a population proportion and a small sample using the binomial table to find the p-value.

An In-Class Experiment to Estimate Binomial Probabilities part of Testing Conjectures:Examples
This hands-on activity asks students to conduct a binomial experiment and calculate a confidence interval for the true probabiity. It is useful for involving students, and for having a discussion about the interpretation of confidence intervals and the role of sample size in estimation.

Correlation Guessing Game part of Games:Examples
In this game activity, students match correlation values with plots generated by the applet. Competition in this game setting encourages students to become more involved in the classroom and attainment of learning objectives.

Investigating the Modernity of the University Library part of Campus-Based Learning:Examples
Students will investigate the modernity of the university library by designing and implementing a complex survey design.

Histogram Sorting Using Cooperative Learning part of Cooperative Learning:Examples
Intended as an early lesson in an introductory statistics course, this lesson uses cooperative learning methods to introduce distributions. Students develop awareness of the different versions of particular shapes (e.g., different types of skewed distributions, or different types of normal distributions), and that there is a difference between models (normal, uniform) and characteristics (skewness, symmetry, etc.).

Body Measures: Exploring Distributions and Graphs Using Cooperative Learning part of Cooperative Learning:Examples
This lesson is intended as an early lesson in an introductory statistics course. The lesson introduces distributions, and the idea that distributions help us understand central tendencies and variability. Cooperative learning methods, real data, and structured interaction emphasize an active approach to teaching statistical concepts and thinking.

Understanding the standard deviation: What makes it larger or smaller? part of Cooperative Learning:Examples
Using cooperative learning methods, this activity helps students develop a better intuitive understanding of what is meant by variability in statistics.

How well can hand size predict height? part of Cooperative Learning:Examples
This activity is deigned to introduce the concepts of bivariate relationships. It is one of the hands-on activities of the ‘real-time online hands-on activities’. Students collect their own data, enter and retrieve the data in real time. Data are stored in the web database and are shared on the net.

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.