Table 2.

Results of the Kolmogorov-Smirnov test for the 95% confidence level for the Chinese provinces. The decision to reject the null hypothesis is based on comparing the observed statistics D_n,obs with the theoretical value $D_{n,th}=0.2329$ obtained for the significance level $\alpha =0.05$ as in Eq. (4). If D_n,obs < D_n,th then the samples come from the same logistic distribution and corresponding values are reported in bold.

	Dn,obs
Time interval	China	Hubei	Bejing	Yunnan
22/01–29/01	0.750	0.750	0.750	0.625
22/01–05/02	0.500	0.475	0.550	0.450
30/01–05/02	0.575	0.575	0.550	0.525
05/02–21/02	0.225	0.150	0.125	0.125
22/01–21/02	0.100	0.100	0.100	0.100