I went to go buy parking passes for the Summer semester (since I have to do field session) and fall semester, and both of those combined are going to cost FOUR. HUNDRED. DOLLARS. for parking. The only other option is to get a K lot pass, which might as well be in Wyoming. What a fucking money pit.
Hello, aplogies in advance if this question doesn't belong on this sub or if it isn't truly a statistics question, but I'm not too sure where would be the best place to ask it. I don't have any collegiate statistics experience tbh.
Long story short, I am an undergraduate physics major doing computational physics research and I'm looking for the best establish error/uncertainty on an upcoming simulation I'll be doing. Essentially, I have a 3D cubic region that is guaranteed to be composed of anywhere between 1 and 10 subregions, and I want to know the fraction of the total region that each subregion occupies. I don't know in advance exactly how many subregions the total region contains. To find the fraction, I'm probably going to randomly sample 1000ish points in the region and tally how many land in each subregion. But then how do I establish error bounds on something like this? Is it straightforward to do so, and if not, is there at least a way of knowing the Big O complexity of this process? I should also mention that there will be on the order of 100,000 such bins, each of them with different amounts of subregions.
Thanks in advance for any advice!