I assume you are asking this because you may be working with something to do with a research project, a term paper or some sort of research proposal. Validity is when you are referring to whether or not the source of the information is actually one that can give you insight into your question or whatever you are looking for. For instance, if you were doing a research project about frogs then a book about the history of automobiles would not be relevant at all, in fact, it would be not valid. you have to consider if your experiment or method would be one in which you can obtain good data that is relevant. Reliability on the other hand is when the source can be consistently trusted to give the same results. For instance a science experiment would be considered reliable if it would give consistent results every time it was reproduced. So if come up with an experiment that sometimes gives you one result, then other times another and maybe even other times even another result then your experiment is not reliable.
Remember validity and reliability can however hold slightly different meanings depending on what context you are applying them to.
Good luck:)
It is reliable
An explanation supported by a reliable body of data refers to a conclusion or theory that is backed by extensive and credible evidence from various sources or studies. This data provides robust support for the explanation, making it more trustworthy and likely to be true.
Integrity of data refers to ensuring that data is accurate, consistent, and reliable. It involves maintaining the completeness and reliability of data throughout its lifecycle, including preventing unauthorized changes, ensuring data validation, and implementing data quality controls. Maintaining data integrity is crucial for making informed decisions and building trust in the data.
"Distinguishing the facts" means identifying the key and relevant information from a set of data or details. It involves separating what is true and accurate from what is irrelevant or misleading. This process is important for making informed decisions and drawing reliable conclusions.
in developing project time data transcription is input stage.
what are three features of reliable data?
It is data you can trust
Reliable data is trusted data that can be used without doubt. Replicable data is data that is allowed to be copied or can be duplicated.
The mean is used for evenly spread data, and median for skewed data. Not sure when the mode should be used.
it is quantitative
A reliable data transfer is one that is stable . For a reliable data transfer a connection oriented protocol is used. A connection oriented protocol is one that receives acknowledgement from the receiver before sending the further data.
it is quantitative
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'.
false
data integrity
It is better than keeping unreliable data!
data integrity