Navigating the Maze of Multiple Hypotheses Testing—Part 1: Essential Jargon and Common Solutions
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Explore the multiple comparisons problem in statistics through a humorous lens, employing Python to elucidate concepts like Bonferroni and Benjamin-Hochberg corrections, null hypotheses, and Type I errors. With entertaining party metaphors, learn how to balance risk and reward in statistical analysis, ensuring more reliable conclusions in data exploration