Abstract Details
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Activity Number:
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10
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Type:
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Invited
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Date/Time:
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Sunday, August 3, 2014 : 2:00 PM to 3:50 PM
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Sponsor:
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Host Chapter-Boston
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Abstract #310675
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Title:
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Simulation-Based Methods in Statistics Education, and Google Tools
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Author(s):
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Tim Hesterberg*+
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Companies:
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Google
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Keywords:
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bootstrap ;
permutation test ;
randomization test ;
big data
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Abstract:
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I'll speak first about the enormous potential of simulation-based tools such as bootstrap, permutation/randomization tests, and MCMC for statistics education. Sampling distributions, P-values, confidence intervals, and posterior distributions are hard concepts for students, especially when obfuscated by myriad cookbook formulas. They are far easier to understand using actual sets of numbers that students can visualize using histograms and scatterplots. Those numbers are obtained using a consistent set of simulation methods that apply in a wide range of applications.
I'll also talk about some Google tools useful for statistical education - Google Docs, and BigQuery (for hands-on experience with huge data).
Finally, I'll talk about demands that technological innovation places on statistics education.
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Authors who are presenting talks have a * after their name.
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