The computer statistical package Microsoft and SPSS for Window Version 15.0 were used to perform the following statistical analysis: Analysis of water quality in terms of physical, chemical and biological parameters and phytoplankton biovolume at each depth of the lake by using Analyzed of variance (ANOVA) to fid the difference, then Duncan’s multiple range test to fid
any pair of mean exhibits the difference. The T-test was used to compare the differences of the means of two sampling sites, which both of ANOVA and T-test were tested normality distribution assumption successfully (Table 2). The dominant species were analyzed by Principal Component Analysis (PCA), to fid the dominant species of phytoplankton from the biovolume of phytoplankton
through the year of study. Water quality data and the dominant species of phytoplankton were analyzed with Canonical Correspondence Analysis (CCA), to determine the relationship between physico-chemical water quality and dominant species. The PCA and CCA were done by using multivariate statistical package (MVSP) software.