Final answer:
When there is a sudden shift in QC data, you should investigate the cause, check for errors, and analyze the data for patterns. If different results are obtained from the same data, methods and accuracy should be reevaluated.
Step-by-step explanation:
When there is a sudden shift in QC data, it is important to investigate and determine the cause of the shift. You should check for any errors in data collection or measurement methods, and ensure that the data is accurate and reliable
If two or more individuals are obtaining different results from the same data, it may indicate inconsistencies or inaccuracies in the data-taking methods. In such cases, it is necessary to reevaluate the methods and accuracy of the data.
Analyzing the data and looking for any obvious differences or patterns can also provide insights into the sudden shift. If the results are not reproducible, it may indicate a problem with the experiment or data collection process.