Examples of 'multiple comparison test' in a sentence
Meaning of "multiple comparison test"
A multiple comparison test is a statistical method used to compare the means of three or more groups. It helps determine which groups are significantly different from each other
How to use "multiple comparison test" in a sentence
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multiple comparison test
Multiple comparison test.
The results were subjected to an analysis of variance followed by a multiple comparison test.
The Multiple comparison test of Dunn was employed to compare the means of each treatment.
Sensory properties of chocolates were studied in three sensory analyse sessions using multiple comparison test.
The Newman Keuls multiple comparison test was used.
The significance in differences was determined by the Bonferroni multiple comparison test.
Bonferroni 's multiple comparison test is performed as a post hoc comparison.
Statistically significant effects were determined by ANOVA with a relevant Multiple Comparison Test.
Therefore, the multiple comparison test was performed to test the difference pairwisely.
Significance was measured using the Kruskall-Wallis multiple comparison test.
Duncans multiple comparison test indicated that composition 5 required a significantly greater force for detachment than composition 4.
Comparison among groups was carried out by Shirley-Williams ' multiple comparison test.
The Scheffe 's multiple comparison test was applied to identify specific differences.
This was according to Tukey 's multiple comparison test.
The Multiple Comparison test was used when the Kruskal-Wallis test resulted significant.
See also
Data were statistically analysed by means of Scheffe 's multiple comparison test.
ANOVA non parametric Sidak 's multiple comparison test was used for statistical analysis.
Subsequently, an ANOVA test was performed, followed by a Tukey multiple comparison test.
See Dunn 's multiple comparison test.
Statistically significant differences were compared using Dunn 's multiple comparison test.
Statistical analysis was performed with Dunnett 's multiple comparison test using GraphPad Prism ( GraphPad Software, Inc. ).
The statistical analysis was performed according to the Dunnett 's multiple comparison test.
Individual time points were further analysed with a multiple comparison test followed by Fisher 's LSD test.
For Compound A, discrimination index was analyzed using Bartlett 's test followed by Dunnett 's multiple comparison test.
Anova followed by Newman-Keuls Multiple Comparison Test was used.
Statistical comparisons between groups are done using one-way ANOVA followed by Dunnett 's multiple comparison test.
In the case of statistical significance, the Tukey multiple comparison test was utilized.
Groups were compared using one-way analysis of variance ANOVA followed by Bonferroni 's multiple comparison test.
Statistical significance was determined vÃa Tukey multiple comparison test using Graphpad Prism 5.
Sociodemographic variables and grade of disability were assessed using Tukey 's multiple comparison test.
One-way ANOVA with Dunnett multiple comparison test.
Intergroup comparisons were carried out by analysis of variance using Dunnett 's multiple comparison test.
One-way ANOVA-with Dunnett's multiple comparison test.
Statistical analysis was performed using a Kruskal-Wallis test and the Dunn multiple comparison test.
Kruskal-Wallis test with a post hoc multiple comparison test.
Muscle fiber data were analyzed by ANOVA followed by Tukey 's multiple comparison test.
To analyze the results a one-way ANOVA and the Tukey multiple comparison test was used.
Statistical analysis was performed using two-way ANOVA with Bonferroni 's multiple comparison test.
Note, Numerical values are the mean of SEM and Dunnett multiple comparison test was adopted.
Differences in lung virus titers were determined by ANOVA, followed by a Dunnett 's Multiple Comparison Test.
Statistical Analysis, Univariate Anova and Bonferroni multiple comparison test were used.
The post-hoc test used was the Newman-Keuls multiple comparison test.
Data were analyzed using one-way ANOVA and Dunn 's multiple comparison test.
Significant differences are indicated by an asterisk ANOVA and Bonferroni multiple comparison test ( p < 0.05 ).
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Examples of using Comparison
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A cursory comparison will reveal this change
The money we are spending now is nothing in comparison
The comparison of data over time is challenging
