Significance of One-way ANOVA
One-way ANOVA is a statistical method utilized to compare the means of three or more groups to determine if at least one of the group means is significantly different from the others. It is widely used to analyze differences among treatment groups in various studies, providing insights into the effects of different variables. This method is essential in assessing data, allowing researchers to evaluate treatment impacts and determine statistical significance across multiple groups.
Synonyms: One-way analysis of variance, Analysis of variance
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The concept of One-way ANOVA in scientific sources
One-way ANOVA is a statistical analysis method used to compare the means of three or more groups, offering insights into treatment effects, such as blood pressure variation, as indicated by regional sources.
From: The Malaysian Journal of Medical Sciences
(1) This test was used to show a significant difference between the three groups within the same day (P < 0.05) by one-way ANOVA and Tukey's test.[1] (2) This statistical test was used to determine the associations of main variables and demographic variables, helping to understand the relationships within the dataset.[2] (3) This describes the specific statistical analysis employed to identify any notable variations among the different digestion methods.[3] (4) One-way ANOVA is a statistical test used to compare the differences in oxidative stress parameters between the different experimental groups in the study.[4] (5) The statistical technique was utilized to compare the means of three or more independent groups of data in the study's analysis.[5]