In this video, we look at the frequentist and Bayesian methods for presenting scientific results. The difference between these methods is a source of confusion for scientists and the general public alike. Often, scientific results are presented using frequentist methods, but are incorrectly interpreted as Bayesian statements.
Here, we discuss what information each of these methods attempts to communicate.
A highly relevant xkcd comic about the sun exploding!:
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Other links mentioned in the video:
Hypothesis Testing Playlist:
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What's a P-Value?:
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Statistical Significance:
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Minicourse on Error Bars, Measurements, and Decision Analysis:
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Bayesian Playlist:
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Coin Flipping, Bayesian Probabilities, and Priors:
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Frequentists vs. Bayesians
Теги
probabilitystatisticsphysicssciencemathlearningeducationdecision makingparticledata sciencedata analysishypothesis testingfrequentistbayesianbayes' theorembayes' rulexkcdnovap-valuestatistical significancepriorposteriora posteriorialphabetaNeyman-Pearsonlikelihoodmedical testsHiggs bosonlhclarge hadron collidergaussianerroruncertaintysigma68-95-99.7test statisticreject hypothesisexclude hypothesiscoin flipping