Sentence examples for errors significance from inspiring English sources

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We report robust standard errors, significance levels, and confidence intervals.

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A mathematical path based on transitive closure that generates an error significance map for the BP array is proposed.

Whereas the error significance did not seem to differ across session, participants have most likely reduced the motor threshold in the correction session to enable efficient immediate corrections.

Multivariate tests Model term Wilks Lambda F η 2 Degrees of freedom (hypothesis) Degrees of freedom (error) Significance Differential Workload (low-adjusted-high).868 2.882.068 6 236.010 Pre-Task Workload (low-high).930 2.980.070 3 118.034 Interaction Differential WL × Pre-Task Workload.984.314.008 6 236.984.314.008

Error bars are standard error, significance was calculated using the student t test (*p<0.05).

For this study, the value of 0.001 was used as a Type I error significance threshold P value.

The sample size was calculated considering a 5% probability of type I error (significance level), and 20% for type II error (power test of 80%), on a bi-caudal test.

The alpha-error significance level was 0.05. the Wilcoxon matched-pairs signed-rank test for comparison of data relative to similar subjects' groups, the Mann-Whitney U test for comparison of data from different groups.

Sample size: an a priori power analysis (SPSS software, SPSS Inc., Chicago, IL, USA) indicated that n=24 patients per group (e.g., disease stage or treatment, independent samples) would be required to detect correlation between variables (α=5% probability type 1 error, significance level; 95% power; 50% confidence interval, and 40% standard deviation).

In contrast, we may wish to use a less stringent control across genes, to obtain an experiment-wide error significance value: here false discovery rate (FDR) procedures, that control the probability that a significant result is also a true one, may be more appropriate.

The Statistical Advisory Service Imperial Collegee London) used SPSS software to predict that 17 patients would be necessary for each patient group to detect low-to-moderate correlation between variables (α=5% probability, type 1 error significance level; 95% power; 50% confidence interval (CI); 40% standard deviation).

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