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."
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.
if the hypothesis is proven to be correct or incorrect
A better explanation might exist.
A better explanation might exist.
A better explanation might exist.
A better explanation might exist.
A better explanation might exist.
This statement is correct because a hypothesis is a proposed explanation that has not been validated through experimentation and evidence. Scientific inquiry aims to test and gather evidence to support or reject a hypothesis, rather than proving it true. It is always possible for new evidence or data to emerge that could challenge or refine a hypothesis.
A better explanation might exist Hypothesis still not considered proven because it is always open to question and to any demonstration of its failure.
the hypothesis has not been proven wrong.
A better explanation might exist Hypothesis still not considered proven because it is always open to question and to any demonstration of its failure.
A hypothesis is a proposition to be proven or disproven by experiment or, in the case of statistics, to be assessed for its likelihood based on the numbers available.
A hypothesis must possess capable of being proven false and testable in order to be considered to be scientific.