\begin{table}%t5
%
\par
  \caption{\label{zkT}Results to the Wilcoxon rank-sum test applied to redshift and~$T_{\rm vir}$ for the CC, SCC, WCC~and NCC~subpopulations.}
\small
%\centerline
{
\begin{tabular}{l c c c }
  \hline
  \hline
  Subsamples    	& Parameter 		& Significance	& Which subsample \\
  being 		& being 		& ($\sigma$)	& has a larger avg. \\
  compared	& used			& 		& param. value?  \\
  (1)		& (2)			& (3)		& (4)  \\
  \hline
  CC-NCC		& redshift		& 0.82          & NCC~\\
  SCC-NCC		& redshift		& 1.12          & NCC~\\
  SCC-WCC		& redshift		& 0.96          & WCC~\\
  WCC-NCC		& redshift		& 0.16          & NCC~\\
  CC-NCC		        & $T_{\rm vir}$		& 1.98          & NCC~\\
  SCC-NCC		& $T_{\rm vir}$		& 2.41          & NCC~\\
  SCC-WCC		& $T_{\rm vir}$		& 1.62          & WCC~\\
  WCC-NCC		& $T_{\rm vir}$		& 0.81          & NCC~\\
  \hline
\end{tabular}}
%\smallskip 
\tablefoot{Columns: (1)~subsamples being compared, (2)~the parameter (redshift or $T_{\rm vir}$) being used for the comparison,  (3)~the significance that the two distributions are not consistent with the null hypothesis (they are from the same parent distribution), (4)~the subpopulation that comes from the larger redshift or higher temperature distribution.}
\end{table}