# Feasibility of Obtaining Surface Layer Moisture Flux Using an IR Thermometer
## 3 Discussion of Statistical Analysis and Measurement Results
### Single Factor ANOVA for Three Devices for Multiple Means Comparisons
\begin{table}
\begin{tabular}{c c c c c c c c c c c} \hline \hline  & \multicolumn{6}{c}{**(a)**} \\ \hline \multicolumn{1}{c}{} & \multicolumn{3}{c}{**Summary**} & \multicolumn{3}{c}{**ANOVA (\(p<0.05\))**} \\ \hline
**Groups** & **Count** & **Sum** & **Mean** & **Variance** & **Source of Variation** & **SS** & **df** & **MS** & **F** & \(p\)**-Value** & **F** **Crit** \\ \hline
**GRASS** & & & & & & & & & & \\ \hline Kest\_DB & 30 & 779.72 & 25.991 & 9.196 & Between Groups & 24 & 2 & 12.153 & **0.879** & **0.419** & **3.101** \\ \hline Spysch\_DB & 30 & 742.22 & 24.741 & 12.106 & Within Groups & 1203 & 87 & 13.825 & & & \\ \hline
**IR\_DB** & 30 & 767.22 & 25.574 & 20.173 & Total & 1227 & 89 & & & \\ \hline
**CONCRETE** & & & & & & & & & \\ \hline Kest\_DB & 36 & 852.056 & 23.668 & 21.485 & Between Groups & 48 & 2 & 24.127 & **0.929** & **0.398** & **3.086** \\ \hline
**Spsych\_DB** & 36 & 819.722 & 22.770 & 24.261 & Within Groups & 2624 & 101 & 25.979 & & & \\ \hline
**IR\_DB** & 32 & 782.500 & 24.453 & 32.992 & Total & 2627 & 103 & & & \\ \hline
**SAND** & & & & & & & & & \\ \hline Kest\_DB & 10 & 247.944 & 7.674 & Between Groups & 10 & 2 & 5.221 & **0.367** & **0.696** & **3.354** \\ \hline
**Spsych\_DB** & 10 & 241.111 & 10.696 & Within Groups & 384 & 27 & 14.222 & & & \\ \hline
**IR\_DB** & 10 & 255.556 & 24.297 & Total & 394 & 29 & & & & \\ \hline \multicolumn{1}{c}{} & \multicolumn{6}{c}{**(b)**} \\ \hline \hline \multicolumn{1}{c}{} & \multicolumn{6}{c}{**Summary**} & \multicolumn{3}{c}{**ANOVA (\(p<0.05\))**} \\ \hline
**Groups** & **Count** & **Sum** & **Mean** & **Variance** & **Source of Variation** & **SS** & **df** & **MS** & **F** & \(p\)**-Value** & **F** **Crit** \\ \hline
**GRASS** & & & & & & & & & & \\ \hline Kest\_WB & 29 & 548.389 & 18.910 & 7.333 & Between Groups & 24 & 2 & 12.198 & **1.015** & **0.367** & **3.105** \\ \hline Spysch\_WB & 29 & 554.722 & 19.128 & 7.852 & Within Groups & 1009 & 84 & 12.015 & & & \\ \hline IR\_WB & 29 & 519.444 & 17.912 & 20.859 & Total & 1034 & 86 & & & \\ \hline
**CONCRETE** & & & & & & & & & \\ \hline Kest\_WB & 36 & 661.611 & 18.378 & 12.226 & Between Groups & 13 & 2 & 6.274 & **0.417** & **0.660** & **3.086** \\ \hline
**Spysch\_WB** & 36 & 660.000 & 18.333 & 12.019 & Within Groups & 1521 & 101 & 15.056 & & & \\ \hline IR\_WB & 32 & 563.333 & 17.604 & 21.678 & Total & 1533 & 103 & & & \\ \hline
**SAND** & & & & & & & & & \\ \hline Kest\_WB & 11 & 208.389 & 18.944 & 7.533 & Between Groups & 4 & 2 & 1.977 & **0.214** & **0.808** & **3.316** \\ \hline Spych\_WB & 11 & 206.398 & 18.763 & 8.786 & Within Groups & 277 & 30 & 9.233 & & \\ \hline IR\_WB & 11 & 215.278 & 19.571 & 11.379 & Total & 281 & 32 & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 2: (a) Single factor ANOVA for the three devices (Kest_DB, Spysych_DB and IR_DB) comprising control and test groups showing _dry_-bulb temperatures (\({}^{\circ}\)C) for grass, concrete and sand surfaces (\(p<0.05\)). SS = Sum of squares; df = Degrees of freedom; MS = Mean square; F = F-ratio. (b) Single factor ANOVA for three devices (Kest_WB, Spysych_WB and IR_WB) comprising the control and test groups showing _wet_-bulb temperature (\({}^{\circ}\)C) for grass, concrete and sand surfaces (\(p<0.05\)). SS = Sum of squares; df = Degrees of freedom; MS = Mean square; F = F-ratio. much larger than the probability level at 5%; and (ii) the F-ratio between groups and within groups (1.015) is significantly smaller than the F-critical (3.105) for the grass surface. The same trends are seen for the concrete and sand surfaces in Table 2b.