No, an hypothesis is a tentative conjecture explaining an observation, phenomenon or scientific problem that can be tested by further observation, investigation and/or experimentation. As a scientific term of art, see the attached quotation. Compare to theory, and quotation given there. No a hypothesis must be tested, proven to be true No. A hypothesis is a best guess based on available information and observation.
You can not prove it true.
hypothesis
A scientific law is one that has been tested throughout hypothesis and theory and proven to be true all the time.
A hypothesis is a prediction.
Ido
Ido
Most science uses indutive reasoning
It is impossible to prove a hypothesis. It can only be disproved.
It is impossible to prove a hypothesis. It can only be disproved.
A hypothesis is a statement.
Yes. A hypothesis describes what we expect to happen in an experiment. If we do the experiment and something different happens, then our hypothesis is "falsified", or demonstrated to be false. In that case, we'll need to reconsider our hypothesis to determine how it was wrong. We can revise our hypothesis and then conduct a different experiment to test it. It's easy to demonstrate that a hypothesis is incorrect, but it is impossible to prove that it is true.
False- The hypothesis is your prediction of what you expect to happen. If the data does not agree with your hypothesis you simply explain why your hypothesis did not come true and possibly investigate variable which would allow your hypothesis to come true.
False- The hypothesis is your prediction of what you expect to happen. If the data does not agree with your hypothesis you simply explain why your hypothesis did not come true and possibly investigate variable which would allow your hypothesis to come true.
No. A hypothesis is an educated guess, based on observation. Usually, a hypothesis can be supported or refuted through experimentation or more observation. A hypothesis can be disproven, but not proven to be true.
True because the point of the hypothesis test is to figure out the probability of the null hypothesis being true or false. If it is tested and it is true, then you do not reject but you reject it, when it is false.
in some cases it's true. if it is true in your case, this means your hypothesis was a successful one.