Today I understood, that distribution type desn’t change if linear transformation is done to data.
For example, if we take some bunch of data D, that is uniformly distributed in interval [-PI , PI], afterwards we are calculating other data D1(i)=5-2*D(i);
What will be the distribution? well It’s logical, but it wasn’t obvious for me (I guess I needed to pay more attention in my class of statistics). It will be uniform with interval [5-2*(-PI),5-2*(PI)]=>~[11.2832, -1.2832]=>[-1.2832,11.2832]=>~[-1.3,11.3]. We can se, that distribution stand still. It may be mirrored if coefficient of multiplication is negative (in our case -2).