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The significance of the RSM model was evaluated by the F test analysis of variation (ANOVA).
Independent t test, analysis of covariance, or Chi-square test was applied to compare two groups.
Statistical analyses χ2, Independent t test, analysis of variance, and multiple regression using the general linear model.
In this paper we report the development and field test analysis of a high sensitivity fiber laser geophone array.
The significance of the differences between the groups was studied according to Student's t test and the one-way ANOVA test (analysis of variance).
Statistical analyses included descriptive statistics, t test, analysis of covariance (ANCOVA), reliability tests, and regression analysis, which will be presented in more detail in the next section.
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The results were analyzed statistically using multiple regressions, Student's t-test, analysis of variance, and F-test.
Paired t-test analysis of the tensile strength in machine and cross direction shows that there is no significant difference at 95% confidence interval.
The daytime and nighttime mean temperatures of the sampled days were evaluated statistically by t-test, analysis of variance (ANOVA) and Mann-Whitney U test.
Mann–Whitney U-test, Student's t-test, analysis of variance or Fisher's exact test, where applicable, were used for the univariate analysis.
As results, no code was found able to perform a satisfactory post-test analysis of separate effect experiments, without engineering assumptions.
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