Sentence examples for variability in the outcome from inspiring English sources
Usually the number of predictor variables, the variability in the outcome variable, the correlation between the repeated measures, and the type of statistical test planned are used to calculate the minimum number of respondents needed to achieve a significant result with known probability.
The squared correlation between the observed and predicted efficiency score (McKelvey & Zavainona 's pseudo R2 ) is 0.219, indicating that the included predictors account for nearly 22% of the variability in the outcome variable; which is rather weak.
The variability in the outcome variable (HIV prevalence) was then estimated by simple descriptive statistics.
To obtain more variability in the outcome variables in the smallest category of herd size, herds with 20-49 and those with 50-99 cattle were merged into one smallest herd size category 20-999 cows).
What these studies allow us to do is estimate the heritability of an outcome - the proportion of variability in the outcome that can be attributed to genetic factors across a population (and therefore also the proportion attributable to environmental factors).
The PCC was close to 1 (0.9143), indicating the low variability in the outcome measurement.
First, we will carefully evaluate the covariance structure of the outcome variables across time points, and test whether intervention may induce changes in variability in the outcomes.
He argued that the overarching question was too vague and considerable variability in the outcomes from citizen forums suggested the influence of experts in the deliberations (Wright 2002, 40 41).
Although ideally one wants, to fully capture all variability in the outcomes, to run a stochastic model many (e.g. 10,000) times, this was not fully possible here within a reasonable time.
Reviewer #1: In this paper, Santos et al. investigated whether motor variability in the outcome-relevant dimension specifically reduces during learning, and whether such reduction is mediated by neuronal activity in corticostriatal circuits.
They then go on to show that trial-by-trial variability in the average firing rate correlates with performance variability in the outcome-relevant dimension, and more so late in learning.
