be testable
A scientific hypothesis must be testable and falsifiable in order for it to be valid.
The experiment must be redone and checked for potential errors; does the conclusion of the experiment continuously disprove the hypothesis, the latter must be changed to fit.
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".
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.
The Hypothesis Must Be Supported In Order For It To Become A Theory
A hypothesis is a question or a statement that you must prove or disprove through an experiment. Whether or not something can be tested by an experiment determines whether or not you can form a hypothesis.
Scientists first create an hypothesis. They develop methods to prove their hypothesis. In order for other scientists to replicate the findings and prove or disprove another scientist's outcome, the original scientist MUST describe the methods used and the findings.
A scientific hypothesis must be testable and falsifiable in order for it to be valid.
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.
It must be possible to observe whether the hypothesis is true.
The experiment must be redone and checked for potential errors; does the conclusion of the experiment continuously disprove the hypothesis, the latter must be changed to fit.
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".
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.
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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.
"A hypothesis is a proposed answer to a question. To answer the question raised by your observations, the hypothesis must be testable." it means that you need to be able to prove that your hypothesis is true or not by creating an experiment and collect/analyze the data
A 'testable' hypothesis is one in which you are able to conduct experiments in able to prove right or wrong.