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

Using an Applet to Demonstrate a Sampling Distribution part of Interactive Lectures:Examples
Introducing sampling distribution through cooperative learning among students using a group activity. Afterwards, use the sampling distribution applet to illustrate.

Count the Fs: Why a Sample instead of a Census? part of Interactive Lectures:Examples
This interactive lecture activity motivates the need for sampling. "Why sample, why not just take a census?" Under time pressure, students count the number of times the letter F appears in a paragraph. The activity demonstrates that a census, even when it is easy to take, may not give accurate information. Under the time pressure measurement errors are more frequently made in the census rather than in a small sample.

Psychic test part of Interactive Lectures:Examples
Show relative frequency converging to true probability by testing the psychic ability of your students.

Using an Applet to Demonstrate Sampling Distributions of Regression Coefficients part of Interactive Lectures:Examples
This applet simulates a linear regression plot and the corresponding intercept and slope histograms. The program allows the user to change settings such as slope, standard deviation, sample size, and more.

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.

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.

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.