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The Pompano lab group meeting topic today: #poweranalysis. PhD student Alex opened with prompt: "How do you choose how many samples to run when testing the effect of X on Y?"

Initial answers:
* Always n = 5
* Whatever # is convenient
* Lots of blank faces

Resources below.
For some reason we don't teach power analysis in Chemistry or most Biology programs (undergrad), nor in grad Chem or most grad Bio. Whereas in social sciences, this is intro-level stuff. #needtoupdatethecurriculum
Yet, we need to learn it to ensure that we can accurately detect small changes between groups in our experiments. In fact, @NIH mandates power analysis to justify proposed animal or human experiments.
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