Want this question answered?
The hypothesis must be able to be proved true or false.
They draw inferrences or conculution whether the theory is true or false. They validate or disapprove the 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.
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.
The hypothesis must be able to be proved true or false.
A hypothesis is a statement.
They draw inferrences or conculution whether the theory is true or false. They validate or disapprove the hypothesis.
false
They draw inferrences or conculution whether the theory is true or false. They validate or disapprove the 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.
It is true.
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.
False, your hypothesis has fallacies.
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.
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.