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  • This webpage provides an active learning lesson for linear regression. Resources include an in-class student activity sheet for two different levels of classes (Algebra I and Junior), a PowerPoint showing faces of famous people, and sheet with updated (to the end of current year) actual ages of the celebrities.
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  • This is a lesson plan for 16 to 17 year old students that focuses on developing students' understanding of the relative strengths and weaknesses of various representations of real world univariate statistics. Students work in groups to research different visual representations and create a wiki page of their findings.
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  • On this site, students can practice classifying statistics problems. They first click to check the statistical methods that they want to practice classifying. Then they click the "Submit" button to get a description of a research project that involves a statistical technique. Students then click on the technique that will most likely be used in the project. If they choose the incorrect answer, they must read the hint and try again. When they get something correct, they click on the "Next" button to try another problem.
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  • This simulation illustrates least squares regression and how the least squares solution minimizes the sum of the squared residuals. The applet demonstrates, in a visual manner, various concepts related to least squares regression. These include residuals, sum of squares, the mean line, how the line of best fit is determined, and how the line of least squares solution minimizes the sum of the squared residuals.
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  • StatKey is the analysis package to accompany the textbook "Statistics: Unlocking the Power of Data." StatKey includes interactive applets to describe and graph data, engage in bootstrapping and randomization tests, and explore sampling distributions and theoretical distributions.
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  • This YouTube channel includes a series of video interviews between John McGready and some of his colleagues from Johns Hopkins University. The videos are meant to highlight the importance of biostatistics as a core driver of public health discovery, the importance of statistical reasoning in the research process, and how the fundamentals that are covered in an introductory biostatistics course are the framework for more advanced methodology.
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  • This blog will be about access: access to data and access to analysis tools. This blog will be about data privacy, and data sharing. This blog will be about people who use data to better their lives and the lives of others. This blog is meant for anyone wishing to become a citizen statistician, but in particular for statistics teachers-those who help empower citizens to become citizen statisticians.
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  • A collection of Statistics related Haikus collected by Nicholas Horton from his Math 190 (statistical Methods for Undergraduate Research) course at Smith College in Spring, 2005. These are included in the Statistics Haiku Project at http://www.math.smith.edu/~nhorton/haikustat.html
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  • The WISE Bootstrapping Applet can be used to demonstrate bootstrapping by creating a confidence interval for a population mean or median. The user can manipulate the population distribution, sample size, and number of resamples. An associated guide gives suggestions for teaching bootstrapping.
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  • A collection of Statistics related Haikus collected by Nicholas Horton from his Math 190 (statistical Methods for Undergraduate Research) course at Smith College in Spring, 2010. These are included in the Statistics Haiku Project at http://www.math.smith.edu/~nhorton/haikustat.html
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