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In order to prove or disprove your hypothesis you must?
be testable
What should be A good hypothesis?
A correct or good hypothesis includes if then and because. A hypothesis must be a possible answer and must be testable
What is meaning by saying that a hypothesis must be testable?
In Karl Popper's terminology there must be a way to prove a hypothesis false. That is what it means when scientists say that a specific hypothesis is a "testable hypothesis".
Why is it important to write a conclusion to prove a hypothesis?
it is important to write a conclusion to prove a hypothesis because then you have no evidence if your hypothesis was tested or correct or not. from Rezwan Haque I.S.204 Academy Harvord. class 620
Why do scientists repeat experiments?
Scientists repeat experiments for reliability. The experiment must be repeated for the scientist to develop a theory. One experiment does not prove your hypothesis correct; therefore, it must be done a several times.
In order to prove or disprove your hypothesis you must?
be testable
What should be A good hypothesis?
A correct or good hypothesis includes if then and because. A hypothesis must be a possible answer and must be testable
What is meaning by saying that a hypothesis must be testable?
In Karl Popper's terminology there must be a way to prove a hypothesis false. That is what it means when scientists say that a specific hypothesis is a "testable hypothesis".
Why is it important to write a conclusion to prove a hypothesis?
it is important to write a conclusion to prove a hypothesis because then you have no evidence if your hypothesis was tested or correct or not. from Rezwan Haque I.S.204 Academy Harvord. class 620
Why do scientists repeat?
Scientists repeat experiments for reliability. The experiment must be repeated for the scientist to develop a theory. One experiment does not prove your hypothesis correct; therefore, it must be done a several times.
Why do scientists repeat experiments?
Scientists repeat experiments for reliability. The experiment must be repeated for the scientist to develop a theory. One experiment does not prove your hypothesis correct; therefore, it must be done a several times.
If a hypothesis is proven wrong why is it still important?
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.
What does it mean to say that if a hypothesis is scientific then there must be a means to prove it wrong?
Your grammar.......
Can a hypothesis be proven 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.
What if your hypothesis is correct?
Your hypothesis is supported by the data. You cannot prove a hypothesis because somebody may do some other experiments and disprove it eventually. You can only disprove a hypothesis or indicate that it is supported by the data.
Why must an hypothesis must be testable?
If a hypothesis does not generate any observational tests, there is nothing that a scientist can do with itRead more: Explain_why_a_hypothesis_must_be_testableANS2:If an hypothesis is not testable, it cannot be provable false. If it cannot be provable false it cannot be supported. If it cannot be supported, it adds nothing to science. An hypothesis is a "no-win" proposition. You need to try to prove it false. That being the case, you either prove it false (lose) or you fail to prove it false (lose). Failing to prove an hypothesis false is the basis for supporting it.
Can a hypothesis become wrong?
Yes. The term means best guess. Data can prove that is not correct.
