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You are moving into metaphysics and including stuff that is not covered by Null Hypothesis Significance Testing. But on the original point "Likewise, in the lon
by Paradigma11 9y ago
You are moving into metaphysics and including stuff that is not covered by Null Hypothesis Significance Testing. But on the original point "Likewise, in the long run, using a p threshold of 0.05 (which many journals do) will generate 5% false positive results" is just plain wrong. P(A|B) != P(A)
- lisper 9y ago> P(A|B) != P(A) It is if P(A) is 1, which is what you stipulated when you asked "How can u get a wrong positive result if you only test correct H1s?" > "... using a p threshold of 0.05 ... will generate 5% false positive results" is just plain wrong No, it's not wrong, it just makes a tacit assumption that most hypotheses that get experimentally tested are incorrect. Which is a reasonable assumption. If it were not true, making scientific progress would be a lot easier.