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Bayes for undergrads

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  • Philip Ender

Abstract

Teaching markov chain monte carlo bayesian methods to undergraduates can be challenging because they, for the most part, are not familiar with advanced methodologies such as multilevel models, IRT or other analytical methods that are commonly found in bayesian analyses. Â However, almost every undergraduate is familiar with the t-test. Â This presentation will use Stata's bayesmh command to perform a two-sample independent t-test. Â We will discuss the advantages to using a bayesian approach to perform t-test type analyses and compare the output/results to the traditional frequentist t-test.

Suggested Citation

  • Philip Ender, 2018. "Bayes for undergrads," 2018 Stata Conference 1, Stata Users Group.
    • Handle: RePEc:boc:scon18:1
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    File URL: http://fmwww.bc.edu/repec/scon2018/columbus18_Ender.pdf
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