100 * (1-p) is how confident we are the treatment groups actually differ. Example p=0.02 indicates we are 98% sure that the differences we observed...

100 * (1-p) is how confident we are the treatment groups actually differ. Example p=0.02 indicates we are 98% sure that the differences we observed in our experiment were caused by the treatments. What does p=0.6 indicate? The treatments probably made no difference. Let"s redesign the Steak experiment so that in addition to 4 packaging methods, we have two storage temperatures -- Low, High. We have 16 steaks available. How do we randomly assign them?