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In scientific method An hypothesis is accepted when it is above the cut-off value and it is rejected when it is below the cut-off value. If our statistical analysis shows that the significance level i?
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Is a scientific hypothesis accepted as true after an experiments conclusion seems to support it?
Not always. This is kind of hard to explain but sometimes, one of your variables will make the whole expirement kinda slide and the data might be wrong. Just asking, is this a science fair project :D
How are a theory and a set of hypotheses related?
As long as you haven't scientifically proven that a statement you make or a phenomenon you describe is actually true and repeatable all over the world, then you may call this statement a hypothesis. It is something you personally believe in, but the rest of the world will not believe you unless you test your hypothesis and prove it right. (Needless to say, if your test results prove your hypothesis wrong, then you need to start over and rephrase the hypothesis.) After repeated empirical testing with getting the same results every time, and when you believe your hypothesis is right, then you might announce your findings to the world by presenting a theory. This theory is accepted by your peers, but only if they get the same results under similar conditions in their own labs. And if your theory is truly revolutionary, resulting in a so-called change of paradigm, then you may expect a Nobel prize at some point.Answer 2:A hypothesis is a guess or proposed explanation for an observed phenomenon. It's a starting point for further investigation. A theory is much more substantial. To become a theory, after the hypothesis is proposed it is tested in various ways. For example, theories can be used to make predictions which can then be tested. And, a after testing a theory has not been contradicted by these tests.
Why are Darwins ideas widely accepted today?
Probably because they're very scientific, rely upon the hypothetico-deductive method, and have stood against disproof for many years.
What is the autogenic hypothesis of the origin of the eukaryotic cell?
Autogenic means produced from within, or self-generating. Therefore the 'autogenic hypothesis' is most likely to be that the organelles and structures of a Eukaryotic cell were self-generated by a Prokaryotic cell - and this is how Eukaryotic cells were created. The theory of Endosymbiosis is much more widely accepted.
Is evolution a theory?
Yes, by definition evolution is a theory (hence it is called the 'theory of evolution').Despite what some would try to argue, this is not a statement against evolution's credibility and the concepts involved. Rather, it is a statement of complete and unanimous support by the scientific community, which finds evolution to be the simplest and most logical explanation for the phenomena involved, as well as fitting the evidence, providing predictions which can be tested and passing all tests that ever attempted to break it.Another answerIt is also a hypothesis, a fact and a process, and none of these are a problem either.However, as much as some would like to see this as a problem, we must first note what a theory is. In scientific terms, a theory is a hypothesis which has been experimentally confirmed, has made accurate predictions about phenomena, accommodates all known facts about the subject, and is widely accepted as correct.We must contrast this definition with that often used by those who don't understand it; in that case, a theory would be more correctly referred to by the term hypothesis, which is an explanation of something but which has yet to be experimentally confirmed.So in basic terms, a theory is an idea which - after a lot of testing and experimentation and criticism and debate - has been determined to fit all the facts, explain those facts consistently, and make reliable predictions.In short, it's about as close as you can get to certainty. The vast majority of the scientific community - about 99.9% of all qualified scientists - accept it as such. There is no better explanation of how life on earth came to be the way it is now.
Why null hypothesis it is tested at 0.05 level of significance?
A significance level of 0.05 is commonly used in hypothesis testing as it provides a balance between Type I and Type II errors. Setting the significance level at 0.05 means that there is a 5% chance of rejecting the null hypothesis when it is actually true. This level is widely accepted in many fields as a standard threshold for determining statistical significance.
Is a scientific hypothesis accepted if there is no way to demonstrate that it is wrong?
It is accepted if the data support it.
Is a scientific hypothesis a accepted if there is no way to demonstrate that the hypothesis is wrong?
If you develop an experiment that truly demonstrates that the hypothesis is wrong*, then the hypothesis will lose its acceptance in the scientific community.* Such an experiment would have to be repeatable by other scientists AND accepted by interested scientists as a proof that the hypothesis is wrong.
What happens if more than one hypothesis is put forward to explain the same observations?
For a hypothesis to be put forward as a scientific hypothesis, the scientific method requires that one can test it. A working hypothesis is a provisionally accepted hypothesis proposed for further research.
Why a new scientific hypothesis might be accepted or rejected?
Observational evidence
When should you accept a null hypothesis?
The null hypothesis cannot be accepted. Statistical tests only check whether differences in means are probably due to chance differences in sampling (the reason variance is so important). So if the p-value obtained by the data is larger than the significance level against which you are testing, we only fail to reject the null. If the p-value is lower than the significance level, the null hypothesis is rejected in favor of the alternative hypothesis.
How does a scientific hypothesis become an accepted theory?
when there s proof to back it up with evidence or an experiment to test the hypothesis
Is a scientist hypothesis accepted if there is no way to prove that they hypothesis is wrong?
If you develop an experiment that truly demonstrates that the hypothesis is wrong*, then the hypothesis will lose its acceptance in the scientific community. * Such an experiment would have to be repeatable by other scientists AND accepted by interested scientists as a proof that the hypothesis is wrong.
Is a scientific hypothesis accepted if there is no way way to prove that the hypothesis is wrong?
No. Not being able to prove something is NOT the same as it being true.
Is a well-tested and widely accepted view that best explains certain scientific observations?
A well-supported hypothesis is a theory that appears to have a lot of evidence behind it. This evidence helps to make it seem likely that the hypothesis is true, but it is still just a theory until it has been proven.
Is a scientific hypothesis accepted if there is no way to demonstrate the hypothesis wrong?
A scientific hypothesis is not accepted if there is no way to demonstrate the hypothesis wrong. In fact, if there is no way to demonstrate the hypothesis wrong, then it is unfalsifiable and unscientific. For example, if I hypothesize that an all-powerful being created the Universe, there is no way to demonstrate that this hypothesis is wrong. One might argue that none of the natural laws of science require the intervention of an all-powerful being, but then I would simply argue that is because the being designed things that way. Because I can come up with any unfalsifiable explanation for any objection not only is there no way to demonstrate that my hypothesis is wrong, there is also no scientific reason or evidence to believe it is right.
What is the difference between a scientific theory and a hunch?
A hunch is unsubstantiated. Scientific theory is theory in which an idea or even a hunch has been thouroughly tested- thru a hypothesis, testing the hypothesis, and results based on the scientific method. It is supported by other experiments and generally accepted by professionals in the field
