If after multiple trials you still get the same data or information
performing the experiment multiple times
they need to know so they can record their results accuratley and get a result that is reliable.
So the experiment's results are more reliable
A reliable experiment is one that can be proven or has been worked out several times giving valid or dependable results.
True
performing the experiment multiple times
they need to know so they can record their results accuratley and get a result that is reliable.
So the experiment's results are more reliable
A reliable experiment is one that can be proven or has been worked out several times giving valid or dependable results.
True
to make your results more reliable
An experiment in which the results are repeatable....apex
performing the experiment multiply times.
How accurate data is in the sense that you've repeated an experiment a number of times. I.e., one would answer the question 'how reliable were your results?' with something like 'they were very reliable as the experiment was repeated 67 times'.
A well-designed experiment with a large sample size and controlled variables typically produces the most reliable results. Additionally, experiments that are repeated multiple times to account for variability and ensure consistency tend to yield reliable outcomes.
An experiment's results are considered reliable when they can be consistently reproduced in multiple trials by different researchers. Additionally, when the experiment's methodology is sound, and the results can be verified by peer review and further experimentation, the reliability of the findings is strengthened.
Repeating an experiment helps to ensure the results are reliable and not just due to chance. Consistent results across multiple trials strengthen the conclusions drawn from the study and increase confidence in the findings.