No. Not being able to prove something is NOT the same as it being true.
"refute" means to prove to be false or erroneous. Therefore you should abandon your hypothesis because it is wrong.
Generally, creating a hypothesis is a no-win situation. The hypothesis you devise must be provable false. Your data will either prove your hypothesis false or it will fail to prove the hypothesis false. You can never prove a proper hypothesis true. Science does not prove truth, it simply discards the false.
Yes. The term means best guess. Data can prove that is not correct.
it depend if the hypothesis is good or wrong. depends if the hypothesis is correct. An hypothesis is, in simple terms, a "guess" based on observed data. For this reason, the data to support any hypothesis can be manipulated to prove it either "right" or "wrong". Neither is more helpful. All scientific endeavour should be tested and retested.
No. Not being able to prove something is NOT the same as it being true.
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.
A hypothesis is a prediciton you make before you carry out and investigation. The investigation should prove your hypothesis right or wrong.
Your grammar.......
"refute" means to prove to be false or erroneous. Therefore you should abandon your hypothesis because it is wrong.
Generally, creating a hypothesis is a no-win situation. The hypothesis you devise must be provable false. Your data will either prove your hypothesis false or it will fail to prove the hypothesis false. You can never prove a proper hypothesis true. Science does not prove truth, it simply discards the false.
A 'testable' hypothesis is one in which you are able to conduct experiments in able to prove right or wrong.
Its important to prove a hypotheses is wrong as it is to prove it right because when you set out to do a lab, you must make your prediction before you start. When you are finished with the lab, you write your report, and that is the time to either prove or disprove your theory. Science isn't all about getting the right hypothesis or answer; it's more about thinking and understanding.
Yes. The term means best guess. Data can prove that is not correct.
it depend if the hypothesis is good or wrong. depends if the hypothesis is correct. An hypothesis is, in simple terms, a "guess" based on observed data. For this reason, the data to support any hypothesis can be manipulated to prove it either "right" or "wrong". Neither is more helpful. All scientific endeavour should be tested and retested.
To prove the hypothesis. To disprove the hypothesis.
By testing your results, and explain in your conclusion what went wrong