An ANOVA for representations and lengths showed a significant length effect (F 1, 24) = 10.80, p<0.01), a significant representation effect (F 2, 48) = 3.82, p<0.05), and a non-significant interaction.
A two-way ANOVA for the three representations and two column lengths showed a significant interaction (F 2, 44) = 9.56, p<0.001), a significant length effect (F 1, 22) = 18.10, p<0.001), and a significant representation effect (F 2, 44) = 62.66, p<0.001).
The error rates for E-E, E-I, and I-I were 0.52%, 5.2%, and 5.7% for length 2, and 3.1%, 8.9%, and 4.2% for length 3. A two-way ANOVA for the three representations and two column lengths showed a non-significant interaction, a non-significant length effect, but a significant representation effect (F 2, 44) = 6.08, p<0.01).
For length 3, a two-way ANOVA for the three representations and the second and third positions showed that a significant position effect (F 1, 12) = 7.65, p<0.05), a significant representations effect (F 2, 24) = 52.88, p<0.001), but a non-significant interaction.
However, this effect, as well the genomic under-representation effect discussed above, is not expected to create a particular bias towards certain phylostrata and would thus only contribute noise to the analysis.
Using such a network representation, the effects of delay uncertainties on plant-wide stability and performance are studied based on the concept of dissipativity.
But thornier issues of game violence (the gorier bits are never shown in the torrent of game clips), gender representation and effects on childhood development are barely addressed.
Using such a network representation, the effect of delay uncertainties on plantwide stability and performance are studied based on the concept of dissipativity.
Figure 1 Schematic representation of effect-directed analysis.
