Table 2 Significance tests

Site	Funct. group	\(H_{A1}\)		\(H_{A2}\)		\(H_{A3}\)		\(H_{A4}\)
Site	Funct. group	p value	Reject \(H_0\)?	p value	Reject \(H_0\)?	p value	Reject \(H_0\)?	p value	Reject \(H_0\)?
SRM	UN	0.004	Yes			\(\sim\) 0	Yes
SRM	OT	0.017	Yes			0.002	Yes
WCR	UN	\(\sim\) 0	Yes			\(\sim\) 0	Yes
WCR	OT	0.606	No	0.394	No	0.934	No	0.915	No
TAP	UN	\(\sim\) 0	Yes			\(\sim\) 0	Yes
	MT	\(\sim\) 0	Yes			\(\sim\) 0	Yes
	OT	\(\sim\) 0	Yes			\(\sim\) 0	Yes
	L	\(\sim\) 0	Yes			\(\sim\) 0	Yes

\(H_0\) is rejected if \(p<0.05\) at the 5% significance level.
Entropy—Miller Jackknife test of variance
\(H_{A1}\): The entropy flux results from multiple functional groups have a variance larger than the single-functional-group.
\(H_{A2}\): The entropy flux results from multiple functional groups have a variance smaller than the single-functional-group.
Work efficiency—two-sample Kolmogorov–Smirnov test
\(H_{A3}\): The work efficiency results from multiple functional groups have a CDF smaller than the single-functional-group (i.e. values are generally larger).
\(H_{A4}\): The work efficiency results from multiple functional groups have a CDF larger than the single-functional-group (i.e. values are generally smaller).

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