On Sun, Oct 14, 2018 at 10:07:09AM +0200, Dr. Oliver Walter wrote:
Am 14.10.2018 um 09:41 schrieb John Darrington:
> Which is why I suggested using one of the CDF functions.
> There is no T function, but there is a F function, which I think is the
> same if you set DF2 to
Am 14.10.2018 um 09:41 schrieb John Darrington:
Which is why I suggested using one of the CDF functions.
There is no T function, but there is a F function, which I think is the
same if you set DF2 to 1. But you probably know better than me about
those details. Perhaps IDF.F (0.05, N -1, 1) is
On Sun, Oct 14, 2018 at 09:28:47AM +0200, Dr. Oliver Walter wrote:
Am 14.10.2018 um 08:46 schrieb John Darrington:
> AGGREGATE OUTFILE * MODE ADDVARIABLES
> /BREAK=g
> /Mean = mean(V)
> /sd = sd(v)
> /n = n(v)
> .
>
> compute
Am 14.10.2018 um 08:46 schrieb John Darrington:
AGGREGATE OUTFILE * MODE ADDVARIABLES
/BREAK=g
/Mean = mean(V)
/sd = sd(v)
/n = n(v)
.
compute ci_upper=mean + sd/sqrt(n).
compute ci_lower=mean - sd/sqrt(n).
list.
Sorry for interrupting, but this doesn't give a 95% (or 9
> If I understand the use case properly, I think that you can do what
> you want with with an aggregate followed by a few simple compute
> commands: [...]
Thanks!
Werner
___
Pspp-users mailing list
Pspp-users@gnu.org
https://lists.gnu.org/mailma
On Sat, Oct 13, 2018 at 04:04:41PM +0200, Werner LEMBERG wrote:
> SORT CASES BY var1 [var2].
> SPLIT FILE LAYERED BY?? var1 [var2].
>
> T-TEST /TESTVAL=0
> ?? /VARIABLES= dependent variables /MISSING=ANALYSIS
> ?? /CRITERIA=CI(insert your confidence
The results of any analysis are printed in the PSPP output and are
generally not saved in the dataset.
Am 13.10.2018 um 16:04 schrieb Werner LEMBERG:
SORT CASES BY var1 [var2].
SPLIT FILE LAYERED BY var1 [var2].
T-TEST /TESTVAL=0
/VARIABLES= dependent variables /MISSING=ANALYSIS
> SORT CASES BY var1 [var2].
> SPLIT FILE LAYERED BY var1 [var2].
>
> T-TEST /TESTVAL=0
> /VARIABLES= dependent variables /MISSING=ANALYSIS
> /CRITERIA=CI(insert your confidence level here, e.g. 0.95).
Very nice, thanks!
> Then you can use the means and the bounds of the confidence
I don't think that PSPP can produce bar charts with confidence intervals
or something similar (bar charts for means aren't the best idea
anyway). I think it is only possible to split the data file to compare
groups and then calculate confidence intervals for the mean for these
groups.
Comman
> It seems to be a mixed ANCOVA with a within-subjects factor called
> "Location", a between-subjects factor called "Group" and a covariate
> "Age". I think that the GLM command in PSPP is not able to compute
> such an analysis. GLM can only compute between-subjects designs in
> PSPP (cf. PSPP m
It seems to be a mixed ANCOVA with a within-subjects factor called
"Location", a between-subjects factor called "Group" and a covariate
"Age". I think that the GLM command in PSPP is not able to compute such
an analysis. GLM can only compute between-subjects designs in PSPP (cf.
PSPP manual, p.
> I just responded to your statements about the relations between CIs
> and hypothesis test that a CI is *not* always associated with a
> hypothesis. The equations I mentioned were only examples for a
> confidence interval and its equivalent hypothesis test. [...]
Thanks a lot to all who have re
I just responded to your statements about the relations between CIs and
hypothesis test that a CI is *not* always associated with a hypothesis.
The equations I mentioned were only examples for a confidence interval
and its equivalent hypothesis test.
BTW: It's not safe to always use z instead
This is a good point, yes. I'm not the original requester, but I think they
were really asking for a simple way to get a CI when reporting
summary/descriptive statistics (without having a second mean to compare
to). In SPSS you can do this:
https://en.wikibooks.org/wiki/Using_SPSS_and_PASW/Confiden
A confidence interval is mathematically equivalent to its corresponding
hypothesis test. The hypothesis test is significant if the corresponding
confidence interval does not contain the parameter value of the null
hypothesis. The confidence interval does not contain the parameter value
of the n
15 matches
Mail list logo
