Students construct and modify graphs with direct manipulation, watching statistics adjust to the changes immediately. Correlation and Regression . Students drag a line until it fits a scatterplot to understand least squares regression. They are challenged to construct scatterplots with specified correlations to gain a conceptual feeling for correlation. Surveys and Experiments .
Students learn the importance of randomness in generating valid data.
They draw samples and compare their features to the parent population. Randomness and Probability . ActivStats turns the computer into a laboratory where students learn by discovering key concepts for themselves. Students discover the Law of Large Numbers, the Central Limit Theorem, the concept of sampling distributions, the reasoning of hypothesis testing, and other fundamental concepts. Statistical Inference .