The significant hypothesis is the one that you will be able to confirm.
The incorrect hypothesis may be discarded, or it can be modified until it is consistent with all the data that has been collected.
This indicates that the hypothesis is probably incorrect and a new hypothesis needs to be developed. A negative result for a scientific experiment is just as important as a positive result and means that the experiment was a success.
whenever an experiment fails to confirm the theory it is no longer a theory ... it becomes a hypothesis
Do the experiment again and again to confirm the data is correct If the data is consistent then your hypothesis is wrong and you need to think of a new one that fits the data.
The significant hypothesis is the one that you will be able to confirm.
They make continuous tests and evaluations until the hypothesis becomes validated and certified.
Stating a conclusion.
hypothesis have bean tested confirm many time by many scientists woth similar results each time
The incorrect hypothesis may be discarded, or it can be modified until it is consistent with all the data that has been collected.
whenever an experiment fails to confirm the theory it is no longer a theory ... it becomes a hypothesis
This indicates that the hypothesis is probably incorrect and a new hypothesis needs to be developed. A negative result for a scientific experiment is just as important as a positive result and means that the experiment was a success.
1 change the hypothesis to meet the facts 2. ignore the facts and loudly condemn anyone who disagrees with you
A result which is consistent with a hypothesis adds weight to the evidence in favour of that hypothesis: it makes it more likely that the hypothesis is true. But you can never ever confirm a scientific hypothesis. The best that you can do is to show that an alternative hypothesis is unlikely. There could be another hypothesis which is better than the one you started with as well as the alternative that you compared it with: but you simply do not know.
whenever an experiment fails to confirm the theory it is no longer a theory ... it becomes a hypothesis
whenever an experiment fails to confirm the theory it is no longer a theory ... it becomes a hypothesis
Do the experiment again and again to confirm the data is correct If the data is consistent then your hypothesis is wrong and you need to think of a new one that fits the data.