Table 2.
Parameter | F-RBC, mean ± SD | St-RBC, mean ± SD | St-RBCRj, mean ± SD | ANOVA |
p value for Tukey HSD test Vs St-RBCRj for |
||
---|---|---|---|---|---|---|---|
Fa | p | F-RBC | St-RBC | ||||
OFI, % | 0.46 ± 0.53 | 0.53 ± 0.02 | 0.50 ± 0.05 | 38.9 | <0.001 | <0.001 | 0.002 |
MFI, % | 0.97 ± 0.29 | 1.89 ± 0.48 | 1.34 ± 0.41 | 83.2 | <0.001 | <0.001 | <0.001 |
UDC, % | 1.91 ± 0.69 | 6.39 ± 1.55 | 4.18 ± 1.02 | 116.3 | <0.001 | <0.001 | <0.001 |
F-ratio can be thought of as a measure of how different the means are relative to the variability within each measured parameter. The larger this value, the greater the likelihood that the differences between the means are due to something other than chance alone, namely real effects (characterized by p value).
SD = Standard deviation.