Sometimes results of a particular experiment do not match our hypothesis. Most of the time in such a case hypothesis is modified to agree to the experimental data. Another approach can be repeating the same experiment again and comparing the the values form the second trial to the first one.
it gets thrown out because it is irrelivant
You can throw out the hypothesis, reimagine it, or make a brand new guess.
You can throw out the hypothesis, reimagine it, or make a brand new guess.
If the data from an investigation does not support the original hypothesis then either:The method of investigation may be flawed and may need to be changed and repeated.The interpretation of the data may be incorrect and should be reviewed.The hypothesis needs to be reevaluated to possibly conform to the data.
Recheck data and if still valid, scrap hypothosis
You can throw out the hypothesis, reimagine it, or make a brand new guess.
You can throw out the hypothesis, reimagine it, or make a brand new guess.
Recheck data and if still valid, scrap hypothosis
If the data from an investigation does not support the original hypothesis then either:The method of investigation may be flawed and may need to be changed and repeated.The interpretation of the data may be incorrect and should be reviewed.The hypothesis needs to be reevaluated to possibly conform to the data.
1, The hypothesis may have to be revised. 2. The method of accumulating data may be flawed 3. The data may have been contaminated by other sources.
Revise or discard your hypothesis.
Science is based on the principle of falsifiability. It is necessary to develop a hypothesis based on the current understanding. You then make a prediction and design tests or experiments which will either disprove the hypothesis or add support in favour of the scientific theory.