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Tip of the day
Check assumptions before applying any test. Violating assumptions like normality or independence can invalidate your results — always run diagnostic checks before hypothesis testing.
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U.S. stats programs now mandate AI ethics courses, focusing on algorithmic fairness. Federal grants surge for "causal AI" research, blending traditional methods with machine learning for robust inference.
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