Exemplos de uso de Parametric test em Inglês e suas traduções para o Português
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Only parametric test results are shown.
The analysis of variance parametric test ANOVA was used.
The 4080 Series offers a wide range of measurement capabilities required for fundamental parametric test.
Only the parametric test results will be displayed.
The results were submitted to anova and tukey parametric test of significance level of p.
The choice of the parametric test was based on the verification of the non-violation of the normality curve considering?
The statistical analysis was conducted by the application of the parametric test ANOVA- Analysis of variance.
The ANOVA is a fairly usual parametric test that does a comparison of averages using the variance.
We used variables with a normal Gaussian distribution when applying the parametric test Student's t test. .
For this, the non-paired ANOVA parametric test and the Tukey test were used, with a significance level of 5.
The results were submitted to the descriptive statistical analysis,application of Pearson's correlation coefficient and of the parametric test ANOVA.
These averages were assessed through parametric test one way ANOVA, with p< 0.0001.
Parametric test t student(normal distributions) and the nonparametric mann-whitney test was conducted.
To the analysis of the data related to all the objectives, the parametric test T-test was used to dependent variables.
The nonparametric test was used, because the requirements for the parametric test were not met.
As the two assumptions for the t test were met,the means parametric test can be used for the two independent samples.
We used the parametric test because of the symmetry and adherence to the normal distribution of the Kolmogorov-Smirnov normality test. .
The values found in the verification of correlations,obtained by Pearson's parametric test, between the variables studied, are described in Table 2.
The Student t test is a parametric test that evaluates the mean of two groups when the data assumes a normal distribution.
In the inferential analysis, data normality was assessed by using the Kolmogorov-Smirnov's tests, followed by Student's t parametric test for paired samples.
Afterwards, the Wilcoxon parametric test was used for dependent samples, and the Mann-Whitney non-parametric test was used for independent samples.
When the previous tests met the proposed criteria,we used univariate ANOVA and Tukey's parametric test to establish the significance of the results.
We accepted the p value from the parametric test only when both test types showed significant results, defined as p< 0.05.
For statistical analysis, we adopted a significance level of 5% andthe analysis of variance parametric test was used in addition to the Pearson correlation test. .
This parametric test of the analysis of variance is used to estimate the real average value of quantitative variables and real percentage of some events of interest.
To perform the same analysis between 2 anesthetics, Student's t parametric test for independent samples was applied, complying with normality and homocedasticity assumptions.
ANOVA parametric test and Bonferroni post-test were used to analyze continuous variables, while the chi-square test was used to evaluate categorical variables.
The normality test for the studied variables indicated normal distribution of data by the Kolmogorov-Smirnov test, which allowed the use of the parametric test for the data.
The optional Keysight U2941A parametric test fixture is designed to complement the usage of U2723A USB source measure unit in the testing of semiconductor components, including SMT and DIP ICs.
The normality test for the studied variables presented normal data distribution by the Kolmogorov-Smirnov test, which allowed that a parametric test could be used for the data.