making data reliable is by trying your answers out at least 3 times and then add them together and divide by how many answers you have.
It depends on WHAT the sd is the same as.
The more data you have, the more accurate your information. If you have a large amount of evidence of one result, it makes it look correct.
what are three features of reliable data?
Using charts to organise your data is more reliable as it enables you to put the data in the appropriate chart, this means you data will make more sense if needed to be explained and it also makes it easier to analyse your data.
data integrity
True
If after multiple trials you still get the same data or information
It depends on WHAT the sd is the same as.
Bias in the data is inaccurate data. Any error in data will yield false results for the experiment. Experiments by their nature must be exact. Many trials are not accepted until the results can be duplicated.
it gets them reliable results.
peer review makes the result more reliable
The more data you have, the more accurate your information. If you have a large amount of evidence of one result, it makes it look correct.
what are three features of reliable data?
Among other things, it must be based on reliable data and repeatable experimental results.
Yes, data can be reliable without being valid. Reliability refers to the consistency of a measurement, meaning that if the same process is repeated under the same conditions, it yields the same results. However, validity assesses whether the data accurately measures what it is intended to measure. Thus, data can be consistently produced (reliable) but may not truly reflect the intended construct (invalid).
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'.
For data to be reliable, it must be accurate, consistent, and collected using standardized methods. It should also be relevant to the specific context in which it is used and derived from credible sources. Additionally, reliable data should be reproducible, meaning that repeated measurements or observations yield the same results. Lastly, it should be analyzed and reported transparently to allow for verification and validation.