Research Article

Water Hyacinth’s Extent and Its Implication on Water Quality in Lake Victoria, Uganda

Table 5

Analysis of variance for physicochemical water properties: type III sums of squares.

Main effectspHEC (mS/cm)Turbidity (NTU)COD (mg/L)TP (mg/L)BOD (mg/L)Temp (OC)DO (mg/L)Transparency (meters)

A: environment
 Sum of squares101.1600.09542.06037.0108205.03714.242.084.10.4
 Df1.01.01.01.01.01.01.01.01.0
 Mean squares101.1600.295426038108.23714.242.084.10.4
 F-ratio2380.34.67.1100198.31.81445.1
value<2e − 160.70.030.009<2e − 16<2.2e − 160.2<2.2e − 160.03
B: depth
 Sum of squares2.611699.01132.02298.05.71099.829.914.50.0
 Df2.02.02.02.02.02.02.02.02.0
 Mean squares1.35849.35661149.12.8549.914.97.20.0
 F-ratio3.13.30.31.32.614.50.612.40.0
value0.040.040.80.30.12.361e − 060.51.371e − 051.0
B (interaction)
 Sum of squares0.5514279446743.5166.211.30.20.0
 Df222222222.0
 Mean squares0.2257.213972337122.583.15.70.10.0
 F-ratio0.60.10.72.7144.02.20.20.20.0
value0.60.90.50.11.10.10.80.81.0
Residual4920226823490997537122.54309.326625303.0
Total (corrected)153216248377110546122492902536.2629.23.4

, , and  = statistically significant at 95%, 99%, and 100%, respectively.