Examples of using Statistical test in English and their translations into French
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Official
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Colloquial
It contains a discussion of factors influencing the choice of method and, as the statistical test used by each method is an essential part of that method,
Whether differences are sufficiently consistent is assessed using a statistical test(e.g. LSD,
simulation-based estimation and statistical test methods, high-frequency data analysis, financial market microstructure, etc.
No formal statistical tests were conducted to assess the significance of these effects.
No statistical tests were conducted to assess the significance of this effect.
It is obtained differently depending on the statistical tests being carried out.
Furthermore, the statistical tests used to calculate the confidence level(such as the chi-square test)
The choice of statistical tests should be based on the underlying assumptions associated with the test. .
The bivariate statistical tests were a binomial test of difference of proportions for categorical data
validated by each province and territory; no statistical tests were used.
the quantified data presented below have not undergone comparisons based on statistical tests.
thus perform thousands of statistical tests with no user intervention.
based on statistical tests for comparisons of means.
Standard errors and confidence intervals may be used as the basis for performing these comparative statistical tests.
Qualitative and quantitative assessments Comparator-based methods and market-structure-based methods usually require the use of econometric techniques and statistical tests.
Further statistical tests on the robustness of inflation convergence in SADC countries confirmed that there is a tendency of monetary policy convergence among SADC countries over time.
Following data analysis, statistical tests and bias analysis,
In fact, when there is spatial dependence, standard statistical tests too often suggest that there is a significant relation in cases where there is none in reality,
it is important to base conclusions on statistical tests which distinguish the statistically supported inferences from the results that may be due to mere chance.
The variables are classified in two groups, structural and functional, a classification that drives the formulation of hypotheses and the statistical tests to be performed on the data so as to increase the efficiency of the research.