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
The results are more reliable for interpolation .
by not going on this website
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 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.
A reliable test is one that has the same results over time. This means you can trust the test and its outcome.
when there are errors in sampling design, such as biases in selecting participants or a non-representative sample, which can lead to inaccurate results.
It made his actual results approach the results predicted by probability
it made his actual results approach the results predicted by probability.