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Statistical methods should enable data to answer scientific questions: Ask ‘why am I doing this?’, rather than focusing on which particular technique to use. Signals always come with noise: It is trying to separate out the two that makes the subject interesting. Variability is inevitable, and probability models are useful as an abstraction. Plan ahead, really ahead: This includes the idea of pre-specification in confirmatory experiments – avoiding researcher degrees of freedom Worry about data quality: Everything rests on the data. Statistical analysis is more than a set of computations: Do ...more
The Art of Statistics: Learning from Data
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