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.