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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.
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.
Statistics and Error Rates in Death Penalty Cases part of Cooperative Learning:Examples
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.
Measuring Study Effectiveness part of Inventing and Testing Models:Examples
This model-eliciting activity challenges students to operationally define a construct (study effectiveness). Students are given a survey to review that rates different aspects of study behaviors. They are then ...
Identifying a Theft Suspect part of Inventing and Testing Models:Examples