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What does develop a hypothesis mean in science?
A hypothesis is an attempt to explain a phenomenon, based on partial information. Developing a hypothesis is finding a method for testing it: identifying something which is more likely to happen if the hypothesis were true and not if it were not. The next part of developing it is to design an experiment which can be used to test these outcomes.
What is null hypothsis?
It is the hypothesis that is presumed true until statistical evidence in the form of a hypothesis test proves it is not true.
What is Hypothesis Testing of Type I Error?
Rejecting a true null hypothesis.
What is a hypothesis that has been tested many times and found to be true?
If a hypothesis has been tested many times (using approved experimental methods), and each test has proven the hypothesis to be true, the hypothesis can be taken to be a fact, or truth.
When do we reject a hypothesis?
When we've proven that the hypothesis is false !
Does a scientist consider a hypothesis to be a fact?
Scientist consider hypothesis to be an educated guess on what they are studying. If that scientist researches and experiments more, he will see if his hypothesis is true or false.
Is a scientific hypothesis set in stone?
No, a "hypothesis" is a geuss. In an expirement, a scientist will come up with a hypothesis, and then see if it is true. Therefore, a hypothesis is NOT set in stone until proven.
What does it mean if a scientist can't reject a hypothesis?
It means that she or he has to accept that the existing hypothesis appears to be true.
Why does peer review make scientific data sound more reliable?
Peer reviewing involves other scientists testing the data that one scientist has produced and finding it either true or false. If more than the original scientist proves the hypothesis, then the answer is considered more reliable.
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.
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.
A scientist who performs an experiment has no idea what the outcome of the experiment is going to be true or false?
True. In an experiment, a scientist formulates a hypothesis, designs the experiment, collects data, and then analyzes the results to draw conclusions. The outcome of the experiment is not known beforehand, and it is the results of the experiment that will either support or refute the hypothesis.
How can finding out that a hypothesis is not true be for scientists?
Remember that a hypothesis is a 'good' guess about a question. If a scientist comes up with a hypothesis, she will test it and then see if the testing will say 'yes'. She will then do these many times and if the answer still is 'yes' she will have it published. Many others in the same field will then review that data and they will add to the information or they may not agree.
What does develop a hypothesis mean in science?
A hypothesis is an attempt to explain a phenomenon, based on partial information. Developing a hypothesis is finding a method for testing it: identifying something which is more likely to happen if the hypothesis were true and not if it were not. The next part of developing it is to design an experiment which can be used to test these outcomes.
What do scientists design to test a hypothesis?
A hypothesis is a tentative explanation for an observation, phenomenon, or scientific problem that can be tested by further investigation. Basically, it's an educated guess to a question. Testing a hypothesis is the only way to prove this statement correct or incorrect. A scientist conducts an experiement, using constants and variables, and draws conclusions against the hypothesis. This will prove it to be true or untrue.
A hypothesis is a statement of fact true or false?
A hypothesis is a statement.
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.
