boulash

I use cluster analysis to do market segmentations (psychotypes, most of the time), should I try to use this other technique, or is it too complicated for this purpose?

I'm doing a chi-square to test the significance of differences of proportions (my variables are dichotomous) between two groups.

For this I'm using the cross-table menu, but doing this gives me one chart (actually 2, with the descriptives) per variable.

Is there a way to get those variables listed in a single chart with the value of the chi-square statistic and the sigma?

j'ai un echantillon statistique dont les observations (des individus) peuvent etre classees par pays (10 pays).

Je souhaite regrouper ces pays en 3 categories de pays, selon un certain nombre de variables (donc, au sein de chaque categorie de pays, ces variables sont censees evoluer plus ou moins de la meme maniere).

Est-ce possible autrement qu'au piffometre, et si oui quelle technique utiliser?

j'ai un echantillon statistique dont les observations (des individus) peuvent etre classees par pays (10 pays).

Je souhaite regrouper ces pays en 3 categories de pays, selon un certain nombre de variables (donc, au sein de chaque categorie de pays, ces variables sont censees evoluer plus ou moins de la meme maniere).

Est-ce possible autrement qu'au piffometre, et si oui quelle technique utiliser?

How can the t-statistic be interpreted? (I mean is there a meaning to the absolute value of the T?, I already know it's used to check if the means of two samples are identical)

I thought only lefties played right wing at international level, as you get wider shot angle, but she's really good.

More generally, Is there a rationale for having a righty playing right wing?

It seems it's especially true about Japanese games, so I was wondering if it's some kind of traditional creature, or some Japanese pop culture feature.