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What is Quality Control in Analytical Data Analysis about?

Quality control aims to ensure analytical data errors are acceptable for intended use. Errors must be quantified to determine if they are acceptable, and unacceptable errors must be identified so corrective action can be taken. Standard deviation provides a standard way to assess what is normal versus unusually large or small.

Author

shyamnipanikar

Language

EN