Examples of 'tukey test' in a sentence
Meaning of "tukey test"
Tukey Test: Refers to a statistical method used to identify outliers in a dataset or compare multiple group means to determine if they are significantly different from each other. It is commonly used in analysis of variance (ANOVA) to assess the differences between group means
How to use "tukey test" in a sentence
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tukey test
Tukey test was used for post hoc analyses.
Mean cultivars were compared by tukey test and the population density was.
Data were submitted to analysis of variance and means were compared by tukey test.
Analysis of variance followed by the tukey test was used for comparison between groups.
The results were statistically analyzed by anova test and a tukey test p.
Tukey test was used for paired comparisons of data between the three different groups.
The changes were compared between groups by anova followed by tukey test.
The a posteriori Tukey test was applied when necessary.
The values of microbiological log reduction were analyzed by anova and tukey test.
The Tukey test was used for multiple comparisons.
The results were submitted to anova and compared using the tukey test p.
The Tukey test was used for multiple post hoc comparisons.
Cultural characterization data were subjected to analysis of variance and compared by tukey test.
The Tukey test was applied to identify where the differences occurred.
The variables analyzed were submitted to anova and means compared by tukey test.
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Analysis was complemented by the Tukey test for multiple comparison of means in pairs.
Differences between each group were explored by the post hoc tukey test.
The Tukey test was applied for analysis of post hoc multiple comparison whenever necessary.
Sensory analysis was applied to analysis of variance and means were compared by tukey test.
Multiple comparisons using Tukey test showed white subjects had better scores than pardo and black.
The statistical analysis used a linear regression model with mixed effects and tukey test p.
Tukey test was used Post hoc.
Data was analysed using the Tukey test.
The Tukey Test was used to verify the position of the differences.
Mean differences between groups were analyzed by the Tukey test.
Table III shows the Tukey test results with statistically significant differences.
Differences between the groups were assessed by the Tukey test.
Data were analyzed using anova one-way, tukey test and pearson correlation matrices.
A further comparison between groups and times was effected by the Tukey test.
The tukey test showed that the caucasian z angle was significantly higher than in afro-caucasian p.
Statistical analysis of lung weights was performed by ANOVA followed by Tukey test.
For multiple comparisons, Tukey test was used.
The variance analysis ANOVA was used by means of the F test and the Tukey test.
In other words, the Tukey test is a way to test an experimental hypothesis.
Significance among animal groups was analyzed by ANOVA and Tukey test subsequent to ANOVA.
One-way ANOVA with post hoc Tukey test was applied to compare means between groups.
Data were analyzed by descriptive techniques, analysis of variance and tukey test.
When differences were significant, the Tukey test was used to identify the differences.
The results were submitted to the analysis of variance followed by tukey test at 5.
In case of statistical significance, the Tukey test for multiple comparisons was used.
The data were submitted to analysis of variance ( anova ) complemented by the tukey test.
In case of statistical significance, the Tukey test was used to further analyze the interaction.
The samples were subjected to anova and means were compared by tukey test at 5 % probab.
Two-way ANOVA for repeated measures with Tukey test was applied for comparison between distances.
Differences among means were analyzed by the one-way anova and tukey test.
In this study, the Tukey test was used.
For statistical analysis, we performed an analysis of variance with post hoc tukey test.
From each other by the Tukey test at 5 % of error probability.
The statistical test used in the analysis was one-way anova tukey test.
The Tukey test was done for further analysis, shown in Table 5.
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Examples of using Tukey
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Tukey called this the cross median
Mean cultivars were compared by tukey test and the population density was
Tukey test was used for post hoc analyses
