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ANOVAs with factors of Age (inter-subject) and Amplitude (intra-subject) were conducted separately for each condition of precision.
The independent variables were the distance of the target A (for target amplitude) and the diameter of the target W (for target width), determined by the condition of precision.
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There were two conditions of precision demand.
In addition to this interaction, this dependent variable also showed significant main effects of Age and Amplitude in both conditions of precision.
We did not analyze the two conditions of precision together because Precision and Amplitude are interdependent: the number of modalities of the amplitude factor (4 vs. 8) is determined by Precision.
The effect of different sample preparation and analysis conditions on precision and accuracy were systematically evaluated.
At baseline (Wave 1), a sample size of 1700 children allows for estimates of the prevalence of various conditions with precision of ±2.5% (for all ages) and ±4% (for 1-7 year olds) for binary outcomes and ±0.05 standard deviations (for all ages) to ±0.08 standard deviations (for 1-7 year olds) for continuous outcomes.
According to the numerical simulation results of 120 different kinds of conditions, precision plate plan view pattern predictive model was established.
The contradiction of applying uniform treatments to variable conditions is the key issue of precision agriculture.
Despite the problems posed in establishing the properties of matter under these extreme conditions, the precision of the models has improved steadily.
Specific experimental conditions were optimized for the application of precision casting, for example, the composition ratio (of the starting powders), the inorganic precursor, and the gel-casting method.
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