Sentence examples for proportion of observation from inspiring English sources

We attributed a 'dyadic social bonding score' to each dyad by calculating the proportion of observation time two females were observed grooming each other.

Mixed design ANOVAs indicated a significant interaction of OBJ and DAY (P < 0.01) and OBJ and TIME (P < 0.01) on the proportion of observation time that the sows were in contact with the enrichment objects.

Behaviors recorded included proportion of observation time animals interacted with the object, proportion of animals in pen that interacted with the object, and posture (up/down) of each animal in the pen.

The median proportion of observation time that the sows were in contact with the rope (62.4%) was significantly greater than (P < 0.01) the median proportion observed in the rubber pens (31.5%) and significantly greater than (P < 0.01) the median proportion observed in the woodblock pens (24.3%).

Post-hoc analyses using Bonferroni correction showed that on each observation day and time period, the proportion of observation time that the sows were in contact with the enrichment was significantly greater (P < 0.01) in rope pens than rubber or woodblock pens.

Since a large proportion of observation data (over 87% of records, and over 76% of animals) consisted of seabirds, temporal and spatial distribution results were broken down by taxa rather than lumping all three taxa together.

29 The P value was derived from the proportion of observations of the posterior distribution of the variance observed across time points within trials smaller than or equal to the variance within trials typically found in large osteoarthritis trials (0.01 for an effect size scale, 0.0625 for a 10 cm visual analogue scale).

Note that, to calculate the proportion of observations correctly diagnosed, the real root cause, or "label" associated to the observed cell, must be known.

The proportion of observations showing impairment progressively increased as a function of serum THC in every task.

The distribution of costs is often skewed and there can be a considerable proportion of observations of zero costs, which cannot be well handled using simple linear models.

We then calculated the proportion of observations for each treatment in which we recorded each of the mutually exclusive behaviors (# of times behavior observed/total # observations).