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.
If you repeat your experiment and obtain similar results, your experiment is referred to as being "reliable" or demonstrating "reliability." This consistency in results suggests that your findings are reproducible and not due to random chance. Such experiments contribute to the credibility of the scientific conclusions drawn from them.
Yes, an experiment can be reliable but not valid. Reliability refers to the consistency of the results when the experiment is repeated under the same conditions, while validity assesses whether the experiment measures what it is intended to measure. For instance, a poorly designed experiment may produce consistent results (reliable) but may not accurately reflect the true relationship between the variables being studied (not valid). This highlights the importance of both concepts in research design.
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.