Hi, here's some information after fitting measurements to a lognormal distribution. What exactely does it mean that the log likelyhood is -67.175?? As of my understanding the log likelihood, is the natural logaritm of the likelihood function, which is the probability that these measurements comes from this distribution?? 1. is that correct? 2. why is it negative? 3. How can i decide if this is a good distribution fit? (graphically it looks satisfying, im not in a need for extremely exact numbers for what im going to use them for) Distribution: Lognormal Log likelihood: -67.175 Domain: 0 < y < Inf Mean: 9.04552 Variance: 1.51012 Parameter Estimate Std. Err. mu 2.19313 0.0208669 sigma 0.135233 0.0150259 Estimated covariance of parameter estimates: mu sigma mu 0.000435428 -2.49709e-018 sigma -2.49709e-018 0.000225778 edit: the likelihood, taking the exp of the log likelihood would be exp(-67.175)= something*10^-30 !!! incredibly small number. This can't be correct? the likelihood of that distribution can't be that small? the fit is not THAT bad =) i would expect a likelihood of about 0.7-0.95 right? does anyone know what this number means?