Table 9.

Statistical analysis of the activation day for two drivers used in Figure 7^a

	LP										DP
	Nonparametric/parametric test				Post hoc comparisons						Nonparametric/parametric test			Post hoc comparisons
D3-D1 21 °C	Test	DFn, DFd	F	p		n1	n2	Mean difference	p		Test	F	p	Mean difference	p
Figure 7C
△ Total sleep	K-W	3,93	2.44	0.2952	1 vs 2	31	32	0.2535	>0.9999	NS	K-W	4.394	0.1111	−10.63	0.2363	NS
					1 vs 3	31	30	−9.22	0.3644	NS				−13.76	0.0929	NS
△ No. of episodes	K-W	3,93	0.7446	0.6892	1 vs 2	31	32	−1.765	>0.9999	NS	K-W	7.075	0.0291	17.92	0.0167	*
					1 vs 3	31	30	−5.817	0.799	NS				7.035	0.6165	NS
△ Maximum episode length	K-W	3,93	0.1451	0.93	1 vs 2	31	32	−2.587	>0.9999	NS	ANOVA	1.287	0.281	−72.87	0.202	NS
					1 vs 3	31	30	−1.191	>0.9999	NS				−26.9	0.7888	NS
Figure 7E
△ Total sleep	ANOVA	2,93	0.5201	0.5962	1 vs 2	40	30	25.21	0.5593	NS	K-W	1.289	0.525	7.621	0.5146	NS
					1 vs 3	40	26	0.2596	>0.9999	NS				2.791	>0.9999	NS
△ No. of episodes	K-W	3,96	27.92	<0.0001	1 vs 2	40	30	24.85	0.0004	***	ANOVA	21.09	<0.0001	11.26	<0.0001	****
					1 vs 3	40	26	34.78	<0.0001	****				12.6	<0.0001	****
△ Maximum episode length	K-W	3,96	1.574	0.4551	1 vs 2	40	30	−5.592	0.8118	NS	K-W	20.92	<0.0001	−25.46	0.0003	***
					1 vs 3	40	26	−8.41	0.4615	NS				−27.34	0.0002	***

^aChange in sleep parameters, total sleep, number of episodes, and maximum episode length on the activation day (30°C) were analyzed for LP and DP separately. One-way ANOVA followed by Bonferroni test or Kruskal–Wallis (K-W) followed by Dunn's test was applied based on distribution of the datasets.

*p < 0.05.

***p < 0.001.

****p < 0.0001.