Exemplos de uso de Paired student's t test em Inglês e suas traduções para o Português
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The means were compared using the paired Student's t test.
Paired Student's t test was applied to data with a normal distribution.
Statistical analysis was performed using one-way analysis of variance ANOVA or paired Student's t test.
For inferential statistics we used the paired Student's t test when observed sample normality.
The paired Student's t test and the Chi-square test were used to analyze the results.
For comparison between mean LVSF values evaluated by the methods,we used paired Student's t test.
The paired Student's t test was used to compare the scales from before to after the operation, as shown in Table 2.
In order tocompare body weight between before and after SSCS exposure, we applied paired Student's T test.
Paired Student's t test was used for the variables HRON and HROFF in the extremes of MART initial and final stages.
When the normal distribution was not rejected, the paired Student's t test was used to compare before and after surgery.
Comparisons between the continuous variables at the beginning andat the last follow-up were conducted using the paired Student's t test.
Differences were analyzed through the Paired Student's t test, with at a significance level of 5% p.
Here, the paired Student's t test was used, given that the data were paired, i.e. the same subject provided the study limb and his or her own control.
With regards to the obtained MIP and MEP values versus predicted values, the FG andPG showed statistically significant differences p=0.004; Paired Student's t test Table 1.
We used descriptive statistics and paired Student's t test to analyze the data. setting the significance level at 5.
The statistical analysis was carried out with the software program SPSS for Windows release 15.0 andthe variables with normal distribution were analyzed through paired Student's t test.
The paired Student's t test was used for the paired samples pre- and post-dialysis periods, according to the type of renal failure and the blood volume reduction.
Thus, on average, our cases presented a statistically significant improvement in joint mobility and in the functional result,as confirmed by the paired Student's t test.
Regarding the acoustic parameters analysis, the Paired Student's t Test was applied to compare the moments in pairs Pre and Post 3 min.; Pre and Post 5 min.; and Post 3 min. and Post 5 min.
Statistical Analysis The comparison of Free Hb, Fibrinogen, Platelets, Lactate Dehydrogenase, and Activated Clotting Time values before andafter ECC was performed by paired Student's t test 9.
Paired Student's t test showed that patients in C-group were significantly less anxious than patients in P-group when both STAI-state and APAIS were considered for anxiety evaluation p< 0.05.
The comparison between the values of amplitude and latency of the P1, N1 andP2 components, by means of the paired Student's t test, considering the type of transducer earphone and speaker is presented in Table 6.
By means of the paired Student's t test, we sought to assess whether there was any statistically significant difference in the UCLA functional scores regarding pre and postoperative mobility.
The statistical significance of the differences in means between the quantitative variables was ascertained by means of the paired Student's t test and the differences in variance were ascertained by means of analysis of variance ANOVA.
The paired Student's t test or the non-parametric Wilcoxon test was used to assess the variation between pre and post-intervention numerical variables, when the variable did not present a normal distribution.
To compare the obtained andpredicted values of respiratory pressures, paired Student's t test was used. Pearson correlation coefficient was used for test the correlations between the variables.
Paired Student's t test was used to verify the differences bilateral deficit between the maximal heights of the jumps between the unilateral tasks and the myoelectric activity of the vastus lateralis muscle at the fatigue conditions.
After normal data distribution was confirmed by the Kolmogorov-Smirnov non-parametric test, statistically significant differences between T2 and T1,T3 and T2, and T3 and T1 were identified using paired Student's t test p< 0.05.
Paired Student's t test was used to compare CM and TM concerning RMR, AEEE, RIEE, AEE and TEE; and two-way ANOVA conditions x moments with post-hoc by Newman-Keuls to compare the[La] measurements 2 x 9.
To evaluate the changes in continuous variables in relation to baseline, the paired Student's t test was used for normally distributed variables or paired Wilcoxon test if the distribution was not normal.