Table 3.
Town | Road traffic | Rail traffic | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
Life satisfaction | Correlation of LS with | Life satisfaction | Correlation of LS with | |||||||
N | M | SD | Noise | Noise annoyance | N | M | SD | Noise | Noise annoyance | |
Prague | 210 | 7.39 | 2.247 | 0.029 | −0.133 * | 135 | 8.04 | 2.397 | −0.07 | 0.007 |
Vysoke Myto | 39 | 7.78 | 1.874 | 0.168 | −0.138 | - | - | - | - | - |
Mnisek pod Brdy | 28 | 7.25 | 2.504 | −0.254 | −0.096 | - | - | - | - | - |
Koprivnice | 77 | 6.12 | 2.071 | 0.029 | −0.18 | - | - | - | - | - |
Ceska Trebova | - | - | - | - | - | 111 | 7.95 | 2.125 | −0.059 | 0.034 |
Total | 354 | 7.15 | 2.25 | 0.066 | −0.140 ** | 228 | 8.00 | 2.27 | −0.065 | 0.020 |
Tests of equality | †F = 7.694(4), p < 0.001 | ‡χ2 = 0.185(3), p = 0.97 | ‡χ2 = 2.78(3) p=0.43 | †F = −0.094(1), p = 0.76 | ‡χ2 = 0.007(1), p = 0.93 | ‡χ2 = 0.043(1), p = 0.84 |
Notes: * p < 0.05; ** p < 0.01. † ANOVA. ‡ Statistical test of equality of correlation coefficients based on Fischer’s z-transformation of the sample correlation coefficients.