With regard to journal results, it is even worse than that.
A published result with p < 0.05 means that: if the given hypothesis is false, but the underlying model and experimental design is otherwise correct, then there is at least a 95% chance that we don’t see results like this.
There are enough negations and qualifiers in there that even highly competent scientists get confused on occasion.
With regard to journal results, it is even worse than that.
A published result with p < 0.05 means that: if the given hypothesis is false, but the underlying model and experimental design is otherwise correct, then there is at least a 95% chance that we don’t see results like this.
There are enough negations and qualifiers in there that even highly competent scientists get confused on occasion.