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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