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if the hypothesis is proven to be correct or incorrect
in the scientific method the hypothesis is always assumed correct until proven wrong by the experiment that is being performed
It can be proven, you have to do at least 3 experiments to prove your hypothesis.
A hypothesis is only a guess, it doesn't matter if i cant be proven
Hypothesis are theories which are yet to be proven. They are proven when they are proved to be true as in experiments.
When a hypothesis is proven, it is no longer a hypothesis; a proven hypothesis is a theory.
if the hypothesis is proven to be correct or incorrect
the hypothesis has not been proven wrong.
in the scientific method the hypothesis is always assumed correct until proven wrong by the experiment that is being performed
It can be proven, you have to do at least 3 experiments to prove your hypothesis.
A hypothesis is only a guess, it doesn't matter if i cant be proven
Hypotheses can never be totally proven because only portions of populations are used to test them. There are many variables making it likely that results will not always be the same. However, tests with positive outcomes can strongly infer the likelihood that their hypotheses are correct.
In science terms, a hypothesis can only be proven "not wrong". The way it works is that scientists, including the one who stated the hypothesis, try their hardest to demonstrate that the given hypothesis is wrong. If they are successful, then the hypothesis is discarded. If, after many tries, no one can prove the hypothesis is wrong, then it might attain the glorious status of a Theory. As an example, look at the hypothesis of global warming. Almost everyone is running around trying to prove it correct. There are very few following the true scientific process of trying to prove it wrong.
Hypothesis are theories which are yet to be proven. They are proven when they are proved to be true as in experiments.
A scientific theory
No. The null hypothesis is not considered correct. It is an assumption, and hypothesis testing is a consistent meand of determining whether the data is sufficiently strong to say that it may be untrue. The data either supports the alternative hypothesis or it fails to reject it. See examples in links. Also note this quote from Wikipedia: "Statistical hypothesis testing is used to make a decision about whether the data contradicts the null hypothesis: this is called significance testing. A null hypothesis is never proven by such methods, as the absence of evidence against the null hypothesis does not establish it."
this is the final or proven hypothesis