
Graph 1.
I have also "crunched" the numbers of Bomb films using
the "Smoothing Spline Fit" technique with a "goodness
of fit" of roughly 0.84 (i.e., a fairly
accurate generalization of the distribution of Bomb films).
This provides us with a way of visually understanding general
patterns in the data. My colleague
at Hiroshima University, Takao Shõhõji, an internationally
respected scholar in computational mathematics, interprets this
graph as showing periods of stable increase and periods of stable
decrease, with some plateaus.
However, we both agree that, without a very elaborate statistical
model that compares many different factors, we can say little else
with certainty. (Atomic Bomb Cinema, 17172).
Graph 2. By *"normalizing" the numbers
of Bomb
films to the numbers of all films, and comparing them, I also found,
statistically speaking, that during slumps in the film industry
Bomb films often outperformed all films (Atomic Bomb Cinema,
17172).
* The number of bomb films is multiplied by a factor that is derived
by dividing the number of all films by the number of bomb films.
Graph 3. Professor Shõhõji feels that Graph
2 does
not provide enough difference between the bomb films and all films
to appreciate different trends. Based on his experience, he felt
that multiplying bomb films by a factor 30 gives a more useful graphic
representation.

