  Two separate statistical tests are described and developed in order to test
un-binned data sets for adherence to the power-law form. The first test employs
the TP-statistic, a function defined to deviate from zero when the sample
deviates from the power-law form, regardless of the value of the power index.
The second test employs a likelihood ratio test to reject a power-law
background in favor of a model signal distribution with a cut-off.
