Statistics

Globe Toss Icebreaker

For the STAT104 first class of the semester, Lecturer Michael Parzen throws an inflatable globe of the world into the class audience to get the class excited about learning future topics of experimentation, randomness, and estimation.

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iPython Notebook Lecture

Students used an ipython notebook to teach students about Neural Networks, Support Vector Machines, and Agglomerative Hierarchical Clustering.

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Statistics Mini-Assignments

In EMR16 and Stat139, students periodically do very brief "mini-assignments" which require them to submit or consider something that the instructor incorporates into lecture.

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Statistics Twitter Account

Professor Joe Blitzstein uses Twitter to share articles and other tidbits with his students in Statistics 110.

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Statistics Video Project

In EMR16, for the midterm and the final project, students have the choose of creating a 2 minute video that explains three statistical concepts to a novice.

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Stock Market Game

In past offerings of EM-16: Real-Life Statistics, students virtually invested in the stock market in order to apply statistics concepts.

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Strategic Practice Problems

In Statistics 110, Professor Joe Blitzstein provides students "strategic practice problems," arranged by topic which help then do the problem set.

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Teaching Statistics with Modules

EMR16: Real-Life Statistics: Your Chance for Happiness (or Misery) is taught around real-life modules, and all major assignments apply statistical topics directly to the real-life topics.

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The Candy Weighing Demonstration or The Unwisdom of Crowds

This activity uses a bag of differently-sized candies to get at the concept of bias in sampling.

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Wine (or Chocolate) Tasting Experiment

In EMR16, students design their own wine or chocolate-tasting experiment in order to use the principles of experimental design and data analysis.

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