Reliable results are results that are reasonably the same. e.g. if you did the same test 3 times and you got 13.1, 13.3, 13.3. this would be reliable
it gets them reliable results.
A reliable experiment is one that can be proven or has been worked out several times giving valid or dependable results.
No, it won't change the results so they are still reliable
result
To assess the reliability of results using mean volumes, first calculate the mean volume from multiple trials or samples. Then, examine the standard deviation or confidence interval around the mean to determine the variability and consistency of the data. If the mean is stable with low variability, it suggests that the results are reliable; however, significant fluctuations may indicate potential issues with the measurement process or sample consistency. Additionally, comparing the mean to known benchmarks or expected values can further validate the reliability of the results.
The results are more reliable for interpolation .
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'.
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A test may be reliable yet not valid, The results can end up being reliable, in other words certain to have yielded properly based on input. But the results may not be trustworthy.
Standardization of NaOH is necessary for accurate and reliable experimental results because it ensures that the concentration of the NaOH solution is known and consistent. This allows for precise measurements and calculations in experiments, leading to more reliable and reproducible results.
A reliable test is one that has the same results over time. This means you can trust the test and its outcome.
Scientists do multiple trials and find the mean of the trials to make their results reliable-this eliminates the impact any anomalies may have.