Sentence examples for distribution of behavior from inspiring English sources

Fig. 6 Average distribution of behavior and affect, Genie 3 vs. traditional instruction.

Fig. 7 Average distribution of behavior and affect by half-hour, Genie 3 vs. traditional instruction.

Fig. 5 Average distribution of behavior and affect, Genie 2 vs. Genie 3. Proportional data are constrained and tend not to be normally distributed; this was particularly the case here, with very many students having either very high or very low proportions of engagement in any one behavior or affective category.

While matching the distributions of specific experiments is beyond the scope of this paper, if the probability of responding is dependent on the number of µAgents (Equation (5)), then the macro-agent can show a similar distribution of behavior (see Figure 8).

We interpret our results to indicate that the effects of domesticating selection have reduced the available variation for studies of anxiety related behavior in commonly used mouse populations, and by segregating the 'lost' alleles back into the laboratory population they are detectable sources of variation from among a broader quantitative distribution of behavior.

Their ability to measure the distribution of behaviors, instead of the average behavior, allows the direct observation and quantification of the activity, abundance, and lifetime of multiple states and transient intermediates in the energy landscape that are typically averaged out in nonsynchronized ensemble measurements.

We used χ2 tests of independence to compare the distribution of behaviors in each category between the two treatments.

In classroom observations of student behavior, we found significant differences in the distribution of behaviors between treatments, including a higher frequency of off-task behavior during the physical activity.

On top of this, the power f has a major influence on the outcome, and the initial distribution of behaviors (and, consequently, the previous history) can be crucial, also for the multi-population stag hunt game.

Such a method will separate the data into a combination of well-defined components with clear spectroscopic behavior that has an intensity weight component, providing insight into the spatial distribution of the behavior.

Single-trial analysis of licking behavior reveals stepping dynamics with variable onset times, which is responsible for the canonical Gaussian distribution of timing behavior.