I unfortunately don't know enough about PSPP syntax to suggest how to do
this, but a CI is *not* always associated with a hypothesis and can be
calculated from just a mean and SD (and a cumulative distribution function,
which is typically the normal one). Typically the formula is something like:

mean ± z(SD/sqrt(n)), where z is from the CDF.

On Fri, Oct 12, 2018 at 6:29 AM John Darrington <
j...@darrington.wattle.id.au> wrote:

> The confidence interval is a concept associated with a hypothesis.
> If it's the confidence interval on the test for a mean value, typically
> you
> would get that by using a T-Test.
>
>
> On Fri, Oct 12, 2018 at 10:40:22AM +0200, Werner LEMBERG wrote:
>
>      Folks,
>
>
>      I would like to get a 95% confidence interval so that I could use it
>      in AGGREGATE, e.g.,
>
>        AGGREGATE OUTFILE * MODE ADDVARIABLES
>          /BREAK=...
>          /Mean = mean(V)
>          /CI = ci(V, 0.95)
>
>      What must I do to get the result of my hypothetical `ci' function?
>      I'm a PSPP novice, so maybe there is a better solution than AGGREGATE
>      ??? what I ultimately want is to emit the confidence interval of a
>      variable to a CSV file using SAVE TRANSLATE.
>
>
>          Werner
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