Dance . Especially when you ' re a dude . Your junk flies everywhere . <| sep |> troll in the dungeon <| sep |>' New South Wales ' once included all of Australia minus Tasmania and WA , it was only divided up into smaller colonies Vic , SANT , Qld later . <| sep |> A GoError is responding to the wrong lever in a Go trial . GoReward is responding to the correct lever in a Go trial . It is as discrete as a categorization gets . It is a novel behavior , as designed by a neuroscience grad student and his PI , and its unpublished so I won ' t be giving out any more details . Sorry if this makes things a bit confusing , but it shouldn ' t get in the way of any of the stats . So , I am talking with an adviser now and will probably end up focusing on the reaction time differences rather than the proportions . As for which aspects matter more to me , I don ' t know . My PI is not the most clear person , and he doesn ' t get the math , so I guess its up to me . But , theoretically , this could work , no ? What I really wanted to get out of this sub is if my math makes sense . I think what I ' ll end up doing is looking at the aged vs young animals and the four groups of Rxn Time GG , GNG , NGG , NGNG . With ~ 48 trials in each session , that should be enough types of trial to get a good reading of each group . I can average the Rxn Time of each type , so I ' ll have four values for each session , then can run them through a 2 by 4 mixed ANOVA where aged vs young are the between subject factors , and the 4 groups of RT are the within subject factors with RT as the dependent variable . This sounds reasonable , no ?