Why is the area to the left of the mean different in normal distributions comparatively to exponential distributions?
I understand that in normal distributions area is allocated symmetrically on either side of the mean, in which it is defined by its mean and standard deviation. Conversely, do I understand correctly that the area in exponential distributions is varied? How best would area be described in this model? Is it different because the mean and standard deviation have the same value in exponential distributions?