Best practices for normalizing up training, validation, and test sets
Yes, that's what it means.  Basically, mean_T1 and var_T1 become part of the model that you're learning.  So, same as you'd apply machine learning to the training set to learn a model based on the training set, you'll compute the mean and variance based on the training set.