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However, if we assume that the watershed properties and climate are correctly characterized, the BCM hydrologic outputs are based on properties that are spatially distributed throughout the study area, and the calculations are performed consistently across all basins, this provides a significant level of confidence in results for regional cross-comparisons of basins.
A two-way ANOVA on items correctly identified as old yielded a significant level of confidence (LOC1, LOC2, LOC3) x distracter type (emotional, neutral, scrambled) interaction (F [4], [60] = 6.24; p<0.0003).
Quantification and t-test analyses were applied to determine the genes that were differently expressed at a significant level of confidence of above 95% with a 2-fold cut-off (Table S1).
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A model has to pass through stages including blind tests across random control groups to see if its predictions are not only accurate, but also support statistically significant levels of confidence.
A two-tailed p value of less than 0.05 was considered significant (0.95 level of confidence).
*Statistically significant at 95% level of confidence.
* indicates correlation coefficient is significant at 5% level of confidence.
The coefficients for environment rating, residence, income, education, age, smoking and marital status are statistically significant at 95% level of confidence, and have positive signs.
However, there was no significant difference in level of confidence to identify a child with autism (p = 0.39, 95% CI = -1.80 0.72, effect size = -0.3).
However, the pair-wise parametric t-test and non-parametric Wilcoxon t-test showed that differences in operon length were not statistically significant at 95% level of confidence.
In the above example, the coefficient of income is statistically significant at 95% level of confidence, based on a two-sided test, since the computed t-value (13.946) is greater than the critical t-value (1.960).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com