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I would like to choose point 6 (page 341); A null-hypothesis P value greater than 0.05 means
that no effect was observed, or that the absence of an
the effect was shown or demonstrated.
In my opinion, it is not true that a null hypothesis P value greater than 0.05 means that no effect was observed or that the absence of an effect was shown or demonstrated. A P value greater than 0.05 does not indicate the absence of an effect, on the other hand, it suggests that there is not enough evidence to reject the null hypothesis.
The P value is a measure of the strength of the evidence against the null hypothesis, with a P value less than 0.05 typically considered statistically significant, indicating that the observed results are unlikely to have occurred by random chance. Therefore, a P value greater than 0.05 does not imply the absence of an effect but rather a lack of statistical significance in rejecting the null hypothesis.