I have a dataset containing 5,772,663 distinct values. If I plot them using a histogram a (more or less) nice normal curve appears, see my screenshot below (produced with the histogram command using 200 bins and the normal option)
Array
Now, as everyone probably knows, testing whether something is normal is a headache and this is the same with my example. So my idea was to test whether we see a binomial distribution here. I haven't, to my surprise, found anything about goodness-of-fit for a binomial distribution. What I would do now is getting the data from the above graph (using serset, there are some very helpful posts here) and then work through the usual chi-squared-test. This seems very cumbersome. Is there another more straightforward procedure to do this? Thanks in advance.