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What does it mean for a hypothesis to be testable?

The hypothesis must be able to be proved true or false.


A hypothesis is a statement of fact true or false?

A hypothesis is a statement.


What do scientist do after an experiment?

They draw inferrences or conculution whether the theory is true or false. They validate or disapprove the hypothesis.


True or false A theory is a hypothesis that has been proven true?

false


WHat do scientist do after doing an experiment?

They draw inferrences or conculution whether the theory is true or false. They validate or disapprove the hypothesis.


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.


Is A hypothesis is a statement that can be tested true or false?

It is true.


What makes hypothesis testable?

A hypothesis is testable when we can determine experientially whether it is likely to be false or more likely to be true. That means we must be able to distinguish between it being true or false observationally. Thus, equally important to finding observations that confirm the hypothesis, we must be able to specify what it is we expect to see in the case that the hypothesis is false: the hypothesis must be falsifiable in order to be testable.It must be able to be proved right or wrong.


If a hypothesis is proven false something is wrong with the experiment. true false?

False.


True or false If your experiment does not support your hypothesis you should change your data to give support to the hypothesis?

False- The hypothesis is your prediction of what you expect to happen. If the data does not agree with your hypothesis you simply explain why your hypothesis did not come true and possibly investigate variable which would allow your hypothesis to come true.


If your experiment does not support your hypothesis you should change your data to give support to the hypothesis. true or false?

False- The hypothesis is your prediction of what you expect to happen. If the data does not agree with your hypothesis you simply explain why your hypothesis did not come true and possibly investigate variable which would allow your hypothesis to come true.


If the null hypothesis is true and the researchers do not reject it then a correct decision has been made?

True because the point of the hypothesis test is to figure out the probability of the null hypothesis being true or false. If it is tested and it is true, then you do not reject but you reject it, when it is false.