It means that the experiment is consistent with the hypothesis. It adds to the credibility of the hypothesis.
the hypothesis has not been proven wrong.
the hypothesis has not been proven wrong.
There is not sufficient evidence to reject an hypothesis so the null hypothesis stands.
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.
the hypothesis has not been proven wrong.
the hypothesis has not been proven wrong.
It means that she or he has to accept that the existing hypothesis appears to be true.
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.
alternitive hypothesis
It means that he or she does not find the hypothesis to be plausible.
That he either found it to be incorrect or heard from a majority of other scientists working in the same field of study that the hypothesis isn't true. Though it's almost always the first one I said.