A reliable experiment is one that can be proven or has been worked out several times giving valid or dependable results.
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'.
to make the experiment more reliable
performing the experiment multiple times
So the experiment's results are more reliable
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'.
to make the experiment more reliable
performing the experiment multiple times
So the experiment's results are more reliable
what does it mean when they mean "design for your experiment"
what does it mean when they mean "design for your experiment"
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.
Scientists do multiple trials and find the mean of the trials to make their results reliable-this eliminates the impact any anomalies may have.
The Experiment
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to make your results more reliable
In an experiment, a mean needs to be determined if the experiment is quantifiable. The mean usually indicates the variation in the results.