Example No.3

 

Enter data:  

Preparation No.1 : 0.91, 0.79, 0.82, 1.03, 0.82, 0.93, 0.90, 0.87, 0.89, 0.93 mmol.l-1

Preparation No.2 : 0.97, 0.99, 1.24, 1.17, 0.87, 1.20, 0.97, 0.96, 0.99, 0.95. mmol.l-1

 

1) Calculation of mean values:   

 

Results:  Preparation No.1: 0.889 mmol.l-1

                Preparation No.2: 1.031mmol.l-1

 

 

2) Calculation of standard deviations (SD):

Results: Preparation No.1: 0.06951 mmol.l-1

               Preparation No.2: 0.12467 mmol.l-1

 

 

3) Calculation of F-test:

    

 

DF: n1-1=9, n2-1=9

As calculated F < Fcrit = 4.03 (DF 9,9, α=0.05) difference between variances is not significant.

 

 

4) Calculation of unpaired t-test for equal variances (n1=n2):

    DF: (n-1).2=18

 

As calculated t > tcrit= 2.878 (DF=18, α=0.01) difference between means is statistically highly significant. 

 

Conclusion: Preparations tested donīt have the same effects on Mg level in blood serum of horses. The difference between effects of preparations is statistically highly significant (p<0.01).

 

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