From what I understand from the textbook, benchmarks look at a actual data, and compare them to a target data. The target data does not need to be actualised necessarily. It canbe theoretical. In this case, the best example of this to me are the cases of Covid-19, theoretical impact versus the actual impact.
Notice how the cases in India are compared to possible cases that may occur depending on the responses.
Also the big concept thrown around at the start of the virus’ spread was the “flatten the curve” rhetoric. This lead to many cases of comparing ideal scenarios to the actual cases and data that were being collected.
One reply on “Benchmark or Target Data Examples”
Your focus on theoretical data benchmarking was very interesting. I can see if being very useful later on when trying to determine if the statistical models that are being used are actually accurate.