Because the caculated strength of rock made such movement of earth's crust seemed impossible.
the hypothesis has not been proven wrong.
Depending on the results of that test, either accept or reject that hypothesis.
It means that the experiment is consistent with the hypothesis. It adds to the credibility of the hypothesis.
If a scientist fails to reject a hypothesis, it means that the evidence gathered from their experiments or observations was not strong enough to disprove the hypothesis. This does not confirm the hypothesis as true; instead, it suggests that there is insufficient evidence to support an alternative explanation. It is important to note that failing to reject a hypothesis does not provide proof of its validity, and further research may be needed to draw more definitive conclusions.
It means that she or he has to accept that the existing hypothesis appears to be true.
If a scientist fails to reject a hypothesis, it means that the data collected from experiments or observations did not provide sufficient evidence to disprove that hypothesis. This does not necessarily prove the hypothesis to be true; rather, it indicates that there is not enough support to conclude it is false. The results may suggest that further research is needed to explore the hypothesis more thoroughly. Ultimately, the failure to reject a hypothesis is a part of the scientific process and contributes to the ongoing evaluation of scientific theories.
It means there is no reason why he should reject it, whether because there is no evidence to the contrary or because an experiment set up to test it affirmed that hypothesis.
It means there is no reason why he should reject it, whether because there is no evidence to the contrary or because an experiment set up to test it affirmed that hypothesis.
because he didn't know how the tectonic plates/continents moved
the hypothesis has not been proven wrong.
The null hypothesis will not reject - it is a hypothesis and is not capable of rejecting anything. The critical region consists of the values of the test statistic where YOU will reject the null hypothesis in favour of the expressed alternative hypothesis.
When we've proven that the hypothesis is false !