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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.).

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.

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.

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.

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

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.

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.

Interpreting Graphical Displays of Univariate Distributions part of Gallery Walks:Examples
Students give practical interpretation of graphs based on shape, center, and spread.

Creating a Spam Filter part of Inventing and Testing Models:Examples
This activity asks students to work in a team to develop a set of rules that can be used to program a SPAM filter for a client. The rules are based on characteristics of the subject lines of emails. Students are ...

Judging a Paper Airplane Contest part of Inventing and Testing Models:Examples
This model-eliciting activity has students determine how to create a fair judging scheme for a paper airplane contest while considering both the most accurate paper airplane and the best floater. Students are given ...