Table 6
Medians and two sample Kolmogorov – Smirnov tests for statistical comparison of various distributions of the two Seyfert subtypes.
Distribution | Median | D | p-value | |||
Type 1s | Type 2s | |||||
|
||||||
log L0.5−2.0 keV | 42.82 | 40.84 | 0.8 | 2.06 × 10-3 | ||
log L2.0−10.0 keV | 43.02 | 41.83 | 0.6 | 5.25 × 10-2 | ||
log NH | 21.02 | > 24.18 | 1.0 | 9.08 × 10-5 | ||
log EW (eV) | 1.81 | 2.79 | 0.9 | 9.30 × 10-4 | ||
log Rx | 0.96 | –0.66 | 0.7 | 1.48 × 10-2 |
Notes. The two sample Kolmogorov – Smirnov test examines the hypothesis that two samples come from same distribution. D = Supx|S1(x) − S2(x)| is the maximum difference between the cumulative distributions of two samples S1(x) and S2(x), respectively. p-value is the probability that the null hypothesis, i.e., two samples comes from same distribution, is correct.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.