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Hypothesis.
Accounting for errors in an experiment will determine the validity and reliability to the experiment. This, in turn, will either support the experimental results by accepting the null hypothesis or to discard the experimental results by rejecting the null hypothesis
when results from the experiments repeatedly fail to support the hypothesis.
The results can support their hypothesis by comparing the results, or setting them out in a table or graph. Conclusions can also be written to simplify the process.
Then explain why it was wrong
Hypothesis.
Accounting for errors in an experiment will determine the validity and reliability to the experiment. This, in turn, will either support the experimental results by accepting the null hypothesis or to discard the experimental results by rejecting the null hypothesis
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.
You can perform the experiment again to check for errors. The best option is to just state in the conclusion the sources of error and why the experiment didn't support the hypothesis. Remember the hypothesis is only an educated guess.
theory
when results from the experiments repeatedly fail to support the hypothesis.
The results can support their hypothesis by comparing the results, or setting them out in a table or graph. Conclusions can also be written to simplify the process.
The results of his experiments did not support his hypothesis.
Then explain why it was wrong
Change or abandon your hypothesis.
draw conclusions
draw conclusions