Experimental design, data analysis, and statistical tooling for modern teams. No hype, just the math.
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A comprehensive guide to statistical assumptions in hypothesis testing. Learn which assumptions matter most, how to diagnose violations, and what to do when your data doesn't fit the textbook requirements.
