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How a Cup of Tea Laid the Foundations for Modern Statistical Analysis
A tea-tasting experiment in the 1920s, involving statistician Ronald Fisher and Muriel Bristol, led to the development of key statistical analysis techniques. To test Bristol's claim that she could distinguish between tea poured before or after milk, Fisher designed an experiment with randomized cup order and a null hypothesis. The experiment highlighted the importance of randomization and led to statistical significance concepts.
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