has_specified_input has_specified_output achieves_planned_objective statistical hypothesis test objective data transformation false positive rate continuous probability distribution Kolmogorov-Smirnov test Alejandra Gonzalez-Beltran ks.test(dataset, distribution) Orlaith Burke scipy.stats.mstats.ks_twosamp(data1, data2,alternative='two-sided') http://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.mstats.ks_twosamp.html source code: https://github.com/scipy/scipy/blob/v0.15.1/scipy/stats/mstats_basic.py#L821 K-S test Kolmogorov-Smirnov test is a goodness of fit test which evaluates the null hypothesis that a sample is drawn from a population that follows a specific continuous probability distribution. Philippe Rocca-Serra STATO, adapted from wikipedia (https://en.wikipedia.org/wiki/Kolmogorov–Smirnov_test) http://www.itl.nist.gov/div898/handbook/eda/section3/eda35g.htm scipy.stats.kstwobign = <scipy.stats._continuous_distns.kstwobign_gen object at 0x7f6169f842d0> http://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.kstwobign.html#scipy.stats.kstwobign source: https://github.com/scipy/scipy/blob/v0.15.1/scipy/stats/_continuous_distns.py goodness of fit statistical test goodness of fit testing objective p-value ready for release