If the data from an investigation does not support the original hypothesis then either:
Write your conclusion, your hypothesis was wrong, which really doesn't matter, your hypothesis is the guess you have about what is going to happen in an experiment.
Then they should say that their hypothesis is incorrect and write down the conclusion.
the data are revised and another experiment conducted
You can throw out the hypothesis, reimagine it, or make a brand new guess.
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.
Recheck data and if still valid, scrap hypothosis
An experiment tests a hypothesis; an investigation mainly collects data.
an experiment tests an hypothesis while an investigation is collecting data
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.
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.
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.
it gets thrown out because it is irrelivant
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.
Drawing Conclusions
Recheck data and if still valid, scrap hypothosis
Recheck data and if still valid, scrap hypothosis
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.
If your hypothesis is totally incorrect then it is quite likely that the data will not support it.