Tweak abstract and conclusion
Trim wordiness
Remove numerical details from conclusion

Regarding the Gaussian fit, it's sketchy to claim a R^2 of .99 when
fitting a general Gaussian+constant to the distribution because a
Gaussian PDF only has two free parameters (mu, sigma). Also, regression
weights each bin equally, but the tails do not deserve as much weight.
I think a more statistically correct way is to just do a
PearsonChiSquareTest and use maximum likelihood estimators.
(the test fails, probably due to heavy tails.)
Capitalize 'Norm' in the references
Amend V/E---T discussion
Looks like some of the claimed results are due to a source data error