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 > _______________________________________________ > Pspp-users mailing list > Pspp-users@gnu.org > https://lists.gnu.org/mailman/listinfo/pspp-users > > -- > Avoid eavesdropping. Send strong encrypted email. > PGP Public key ID: 1024D/2DE827B3 > fingerprint = 8797 A26D 0854 2EAB 0285 A290 8A67 719C 2DE8 27B3 > See http://sks-keyservers.net or any PGP keyserver for public key. > > > _______________________________________________ > Pspp-users mailing list > Pspp-users@gnu.org > https://lists.gnu.org/mailman/listinfo/pspp-users >
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