You should use Stack Exchange for questions about statistics. You should also think a bit before you post, regardless of where. You are the one who described this as a highly asymmetric distribution, and didn't say anything about it being centered at zero. You already answered your own question, to the extent that it can be answered.
On Sun, 1 Jul 2018, Christofer Bogaso wrote:
Hi, I have a quick question on Statistical distribution as follows, hoping Statisticians here would give me very insightful feedback. Say, I have a large sample from a highly asymmetric distribution ranging from -Inf to +Inf. Now I wish to calculate sample X1 and X2 within which middle 70% probability would reside. One approach x = my sample calculatte quantile(x, prob = 15%) & quantile(x, prob = 85%) another approach calculate quantile(abs[x], prob = 85%) In this case X1 and X2 would be +/- of above result. My question is in all scenarios, are above two approach equivalent? If not which is the better approach to find such range. Thanks, [[alternative HTML version deleted]]
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