Maru Kun

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In contrast, the Neyman–Pearson approach, which as we have seen was known as ‘inductive behaviour’, was very much focused on decision-making: if you decide the true answer is in a 95% confidence interval, then you will be right 95% of the time, and you should control Type I and Type II errors when hypothesis testing.
The Art of Statistics: Learning from Data
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