I have electronic data readings obtained from a probe. From looking at the data I must tell if the data is correct . By correct I mean that the data adheres to the same pattern as a given target function. For instance the X axis values would be time and the Y axis would be tension.
The given target function is provided by a list of correct readings (x,y) values .
I have read about numerical analysis and function approximation but I wonder if I am on the correct path. Could anyone provide some light on this ?
So, what you trying to find out is called goodness of fit. It basically measures how good the actual data and your assumed model correlate.
There should be tools/libs for this in most languages, and probably specific stuff in statistics/data languages like R or Matlab. Python is widely used for data analysis, too (pandas, numpy)
Additionally, there’s a SE site for statistics: https://stats.stackexchange.com/