Normal probability plots and corresponding histograms of the residuals for 1 and 2. Additional simulation of the histogram of data generated from two Gaussians with different variances -Fig.2: fraction of data with Miller triples being a multiple of 3 and fraction of rare events ||>3 from these fractions for 1 and 2 -Fig.3: BayCon plots (X), X = (I c , , sintl, I o / (Io)) and corresponding 2 values for 1 and 2 -Fig:4: BayCon plots ( X), X = (I c , , sintl, I o / (Io)) and corresponding 2 values for 1 and 2 -Fig5: Squared residuals in individual bins of the data sorted by significance I o / (Io); observed intensity, I o ; and resolution (sin / respectively for 1 and 2 -Fig.6: Correlation coefficients cc( , cc( , cc( , for the data sorted in increasing order of the significance of the observed intensities for 1 and 2 -Fig 7: Diagnostic plots for the neutron diffraction data set oxa14 from Kaminski et a Description of a simulation for testing the standard deviations sqrt(1/Nref) of the correlation coefficients with the help of random numbers.