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The significant differences between the two concentrations of 600 and 1500 μg well−1 were assessed by independent t test.
The differences between various extracts were assessed using one-way ANOVA followed by Duncan test with a confidence level of 95%% using IBM SPSS Statistics 19 in Windows 7. Statistical independent T test was used to determine the significant differences between the two concentrations of 600 and 1500 µg well−1.
Significant differences were found between the two concentrations of quinine used (Z = 2.95, p<0.005), thus showing a dose-dependent effect for this substance.
The system behaves the way it does because when there is a large excess of enzyme over target there is no difference in amplification between the two concentrations of Taq polymerase.
These transcripts that responded differently between the two concentrations were identified using a t-test, and 16 were found to respond significantly different (p-value < 0.05) between the two concentrations (see Table 1).
No apparent difference was, however, observed thereafter between the two concentrations until the end of the observation period (Fig. 3).
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The difference between these two concentrations allowed the calculation of RIF incorporated in the DODAB LV dispersion as 77.3% in fair agreement with incorporation determined from dialysis.
Hence, the total calorie intake was significantly greater than that of FDW 25% which posed the striking difference between these two concentrations.
We calculated Pearson correlation coefficient between these two concentrations in both the original and natural-log transformed scales.
For initial overall concentrations in between the two binodal concentrations, the equilibrium state is a coexistence between an isotropic and nematic phase.
The stimulus intensity was calculated as the absolute difference between the two sugar concentrations, divided by the mean concentration.
More suggestions(18)
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