Hi all, just a quick query about data analysis: 1. The problem statement, all variables and given/known data Having been asked to use Chi Squared analysis to test the validity of a fit, I have calculated my data to have a reduced chi squared of ~ 0.75 to 2 dp. I know that a reduced chi squared (chi squared / number of degrees of freedom) much lower than 1 suggests that the errors have been overestimated, but I can't find what the "accepted" value for <<1 is; i.e. is 0.75 too far from one to be considered alright for a fit? My course notes only say "For a good fit, reduced chi-squared will be about 1. A value << 1 suggests you overestimated the uncertainties. For a value > 1, the probability that the fit is reasonable drops accordingly." Thanks in advance for any help!