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What tells if the data supports the hypothesis?
i think its a theory
When enough experimental data supports a hypothesis it becomes what?
none
Why is it important to test your hypothesis and collect evidence?
A hypothesis is a testable statement. To check the accuracy of your statement, you need to design an experiment to test it and collect data. Then you analyze your data to see how well it supported your hypothesis.
What does it mean to draw a conclusion?
Scientists decide whether their data supports or refutes their hypothesis or prediction; they look for possible errors...
Is the null hypothesis considered correct until proven otherwise?
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."
