I am doing a CBC study to run market simulator with two sub-groups(male vs female: 100 vs 100 in sample size).

Now I want to understand there is a significant difference between each of attribute within male and female.

I read the previous post: https://www.sawtoothsoftware.com/education/ss/ss20.shtml#ss20sig indicated that the way to ths is "Compute a t-statistic by dividing the mean difference by the standard error of the differences".

What I am not sure is how to get the standard error from SMRT, I got the below share of performance score by "Run Manager" -> "Export". Is there any where I can find the Std Error value to apply on this? Or is there way to calculate according these?

Importance Attribute 1 Attribute 2 Attribute 3 Attribute 4 Attribute 5 Attribute 6 Attribute 7

ALL 0.27000 0.08005 0.11192 0.10073 0.08067 0.12047 0.23616

Male 0.24574 0.09314 0.11377 0.09034 0.07782 0.13307 0.24612

Female 0.27839 0.06333 0.10310 0.10542 0.10480 0.10525 0.23971

Thanks for your detail explaination. But I still have few points unclear that...

Yes, I want to do the between-groups t-test for the significant difference of an (one) attribute importance for male vs. female. Or say..is 24.57% on attribute 1 for male group has significant differnece with female group's 27.84% on the same attribute 1.

So to my understanding, the first step to compute the mean value is for a single attribute, fo example let's say for attribute 1, and also the same with standard deviation.

I am not understand on the X_bar_male and X_bar_female, Stdev_male, Stdev_Female, from the first step, the mean and stdev is calcuate on each of attribute by pairs(male vs. female), so how to get the mean of males for the attribute? As the attribute importance sum to 100 and both groups has same attribute, the mean of attribute importance of each of group will have the same mean value, is that right?

Thanks,

Leen