Many times, complex models are not enough (or too heavy), or not necessary, to get great, robust, sustainable insights out of data. Deep analytical thinking may prove more useful, and can be done by people not necessarily trained in data science…
ideas.ted.com
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Kate Torgovnick May
– Aug 22, 2018, 5:29 AM
A jellyfish that flashes rainbows as it moves. A worm with twisting yellow tentacles that it uses to take in food. A carnivorous fish with its own built-in fishing rod. Welcome to the ocean's wondrous twilight zone. In this barely explored region…
Determining sample sizes is a challenging undertaking. For simplicity, I've limited this picture to the one of the most common testing situation: testing for differences in means. Some assumptions have been made (for example, normality and equal…
