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The accuracy of data means how correct, reliable, and free from error the data is. If the data is collected from a trusted and verified source, and proper methods are used during the collection process, then the data is likely to be accurate and useful.
Let’s understand this with an example:
Suppose you are conducting a survey. If you collect data from people who are actually related to the topic and you use proper tools like questionnaires or interviews, then the results you get will be reliable and accurate. But if the data is taken randomly or without checking its source, there will be more chances of errors, which makes the data less trustworthy.
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