Sentence examples for failed assumptions from inspiring English sources

Index of multiple deprivation failed assumptions of normality (Kurtosis 2.977 p <0.05 ) and homogeneity of variance (F 5,430) = 2.654 p = 0.022).

It clearly points out the failed assumption that the history of components is congruent with the history of the higher level unit to which it belongs.

Moody's said Thursday that this "too big to fail" assumption might no longer be true.

The binary states, i.e., success or failed state assumptions used in conventional reliability are inappropriate for reliability analysis of complex industrial systems due to lack of sufficient probabilistic information.

For data that failed these assumptions, the non-parametric Kruskal-Wallis test was used to compare differences between preoperative and postoperative values within each limb, and Wilcoxon's matched pairs test was used to identify differences between control and operated limb at each time point.

If the data failed the assumptions of normality or equal variance they were transformed (log10) to improve the distribution.

We assessed the proportional hazards assumption by using trend tests of the Schoenfeld residuals; those that failed the assumption or were deemed to be time dependent were entered as continuous time dependent covariates.

The proportional hazards assumption was assessed using the log(−log(survival)) plot, and those that failed the assumption or that were deemed to be time dependent were entered as continuous time-dependent covariates (Bradburn et al, 2003).

The proportional hazards assumption was assessed using trend-tests of the Schoenfeld residuals and those which failed the assumption or which were deemed to be time-dependent were entered as continuous time-dependent covariates (Bradburn et al, 2003).

For group comparisons, if the samples satisfied normality assumption, a one-way analysis of variance Bonferroni's multiple comparison test was applied; If the samples failed normality assumption, the non-parametric Kruskal-Wallis statistic Dunn's multiple comparison test.

Since the data are correct under the single failed subsystem assumption, the data contain no errors and the error correction system is operating correctly.