Significance of One-way analysis of variance

One-way analysis of variance (ANOVA) is a statistical method employed to compare the mean values among three or more independent groups. This technique is pivotal for determining if at least one group mean significantly differs from the others. It analyzes significance in differences among group means, making it a vital tool in studies where multiple group comparisons are necessary. ANOVA helps ascertain statistical differences, thus informing conclusions drawn from research data.

Synonyms: Anova, One-way anova

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The concept of One-way analysis of variance in scientific sources

Science Books

One-way analysis of variance is a statistical technique used to compare the means of different groups within a study, helping to identify significant differences among group means in a sample.

Significance in Scientific journals, articles, etc.:

From: The Malaysian Journal of Medical Sciences

(1) This is another statistical test used to evaluate differences between groups, followed by post-hoc analysis.[1] (2) Therefore, one-way analysis of variance (ANOVA) followed by Tukey-Kramer post analysis procedure was used to compare the means of all groups for all studied parameters, describing a test.[2] (3) A statistical method used to compare means among three or more groups within the study.[3] (4) A statistical technique used to compare the means of three or more independent groups.[4] (5) A statistical method used to compare means among three or more groups to determine if there are any significant differences.[5]

This section includes scientific research in the field of healthcare, often involving traditional medicine systems such as Ayurveda, Unani, Siddha and Holistic health. It includes papers from scientific journals classified as either original, clinical or experimental research, review articles or case reports.