Why Statistics Is Slippery
Why Statistics Is Slippery
Easy Algorithms Fail in Biology
The chapter evaluates the well-known statistical-significance rule for discovering hypotheses and shows that, because scientists routinely misuse this rule, especially with observational and not experimental data, they can miss discovering important causal hypotheses in statistics. In particular, scientists forget how subjective the rule is, and that the rule tells nothing about scientific significance, only mathematical significance
Keywords: experiential data, observational data, statistical significance, statistics
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