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."
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the hypothesis has not been proven wrong.
When we've proven that the hypothesis is false !
If a hypothesis has been tested many times (using approved experimental methods), and each test has proven the hypothesis to be true, the hypothesis can be taken to be a fact, or truth.
A theory. If it has been proven and is replicatable, it is a fact.
A valid hypothesis is one that is testable and rejectable, can be proven true as well as verified without external evidence. It also needs to be accepted by public opinion.