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Session D-1: Lies, Damn Lies, And Statistics, Peter Dong, Joseph Traina
Session D-1: Lies, Damn Lies, And Statistics, Peter Dong, Joseph Traina
Professional Learning Day
The crucial and sometimes difficult areas of data analysis and statistics can be made clearer by looking at examples of how they can be done badly - examples which, unfortunately, are easy to find. We share our experience teaching a short course which examines disingenuous graphs, biased surveys, deliberately misworded statements, and other methods of misrepresenting data. The negative examples provide an opportunity to discuss how statistics should properly be done, and explain what can happen when statistics are used incorrectly. We include a discussion of the failure of polls to predict the outcome of the presidential election.
Session D-5: Informal Comparative Inference: What Is It?, Karen Togliatti
Session D-5: Informal Comparative Inference: What Is It?, Karen Togliatti
Professional Learning Day
Come and experience a hands-on task that has middle-school students grapple with informal inferential reasoning. Three key principles of informal inference – data as evidence, probabilistic language, and generalizing ‘beyond the data’ will be discussed as students build and analyze distributions to answer the question, “Does hand dominance play a role in throwing accuracy?” Connections to the CCSSM statistics standards for middle-school will be highlighted.