Source Degree of Freedom  (df) Sum of Squares (SM) Mean Squares MS = SS/df F-Statistics P-value Relative growth       Different concentration 3 0.00645 0.00215 20.59 0.001 Different days 2 0.00345 0.0017 16.53 0.004 Error 6 0.0063 0.000104     Total 11 0.01053       Bio-concentration factor           Different concentration 3 0.03612 0.012042 25.70  0.001 Different days 2 0.033008 0.016504 35.23  0.000 Error 6 0.002811 0.00046     Total 11 0.071944       F = MSB/MSE, The between-sample variance, S2B = SSB/k-1, where k is the number of samples or treatment and is often called the Mean Square Between, MSB = SSB/k-1. The within-sample variance, S2W = SSW/n-k, where n is the total number of observations in all the samples is often called the Mean Square Within or Mean Square Error, MSE = SSE/n-k,

Table 2: ANOVA table for relative growth and bio-concentration factor.