13:15:13 From Maddalena Genzini : you're muted 13:15:47 From Anna S To Troels Christian Petersen(privately) : Hi, yeah, I will be online today 13:38:54 From Efthymios Siamos : How do we decide which Likelihood to use (binned-unbinned) or should we use both to see which one works better,every time? Thanks in advance 13:39:41 From Andreas Mosgaard Jørgensen : So it is because of speed, one would do a binned likelihood? If that wasn't an issue one would always do the unbinned. 13:40:07 From Victor von Wachter : You said likelihood shines with low statistics or empty bins. With high statistics we rather use Chi2, can you shortly also summarize why than the Chi2 is superior? 13:40:37 From Jens Edelvang-Pejrup : Can you elaborate a bit on the constant offset factor of -2? 13:41:22 From Jaime Caballer Revenga : Hi, let's say we have 30 individual observations of e.g. Nutrient concentration in 30 different sampling locations. How relevant is the binning of the continuous variable? One could guess that, the "finer/narrower" the bins are (until a limiting threshold), the the closer to the continuous case (PDF), and therefore the better? 13:44:31 From jmlin : can you take an exmple for alternative model and null model. I'm not really understand. Tak 13:51:51 From Lasse Bonn : can you explain when we know if we have cross correlation between measurements 13:53:49 From Marcus Nørgaard Weng : How are the uncertainties found when we measure stuff ourselves? Just guess that we're within 3 mm for example? Or do a lot of similar measurements and do np.stdev([the measurements])? 14:05:11 From Nikolay Georgiev : How do you get errors on length if you’re doing project alone? 14:05:38 From svend korsgaard : instead of measuring by eye, are we allowed to film the pendulum and use the camera to judge the time of the pendulum? 14:07:08 From Marcus Nørgaard Weng : Also: What exactly does the likelihood tell us? 14:11:36 From Jacob : how do we know if we are group A or B? 14:12:03 From Efthymios Siamos : Does the project count in the final grade ?