Sentence examples for generally normally distributed from inspiring English sources

Exact(6)

Behavioral variables were generally normally distributed and satisfied parametric assumptions of homogeneity of variance.

We report continuous variables, which were not generally normally distributed, as medians with 25%to75%5% interquartile ranges (IQR).

We reported continuous variables as medians and 25%to75%5% interquartile ranges (IQRs) because they were not generally normally distributed.

Carbon dioxide response ratios (R = treated/control) across species are generally normally distributed with a mean of 1.25 and a standard deviation of 0.35 (Poorter and Navas 2003).

Typically, triplicate wells (n = 3; sometimes even less) are analyzed for each experimental condition and the responses are count data that are not generally normally distributed.

These statistics are generally normally distributed, and simulations have confirmed that outliers (e.g. more than 1.96/2.58 standard deviations from the mean for 95%/99% confidence intervals, respectively) are likely to be caused by selection [ 48].

Similar(54)

MA line distributions were generally not normally distributed and so we used nonparametric statistical tests when testing for differences among distributions.

Because the dN/ dS ratios of genes were generally not normally distributed, nonparametric statistics were used in tests including this parameter.

The patient self-reported and parent proxy-reported HRQoL scores were generally not normally distributed and thus were subjected to non-parametric statistics.

30 Given that data are generally not normally distributed, but skewed to the right, bias-corrected uncertainty intervals (UI) were calculated using the percentile method of nonparametric simulation (using 5000 replications).

A review of the deviance residual plots for these best-fit models (not shown) indicate that model residuals for both aggregation levels generally appear normally distributed with some exceptions occurring in early August for some SRs where a pattern of over-estimation occurs before returning to normality a few days later.

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