Significance of ANOVA
ANOVA, or Analysis of Variance, is a statistical test widely used across scientific disciplines like Ayurveda, Science, Psychiatry, and Health Sciences. It serves as a method for comparing the means of two or more groups. Researchers use ANOVA to determine if significant differences exist between these groups. This statistical tool helps in assessing treatment effects, analyzing experimental data, evaluating relationships between variables, and determining the significance of observed differences in various studies.
Synonyms: Analysis of variance, Variance analysis, Statistical analysis, Hypothesis testing, Group comparison., Statistical test, F-test
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
Hindu concept of 'ANOVA'
In Hinduism, ANOVA refers to a statistical test, Analysis of Variance, used to compare the means of groups. It assesses treatment effects and determines significant differences between group means, such as anti-inflammatory drug trials.
From: Journal of Ayurveda and Integrated Medical Sciences
(1) Analysis of variance, a statistical test used to compare the means of the groups, and assess the significance of the treatment effects, as mentioned in the text.[1] (2) This was used to determine the anti-inflammatory of the trial drugs.[2] (3) This phrase refers to a statistical test used to compare the means of two or more groups to determine if there is a significant difference between them.[3]
The concept of ANOVA in scientific sources
ANOVA (Analysis of Variance) is a statistical method used to compare the means of two or more groups. It determines if significant differences exist between these groups, often used in experimental data analysis.
From: International Journal of Pharmacology
(1) All data are presented as the Mean±SEM using one way analysis of variance (this).[4] (2) One-way analysis of variance, used to compare mean differences between multiple studied groups.[5] (3) A statistical method used to analyze the obtained data, with a significance level set at p<0.05.[6] (4) Analysis of Variance, a statistical method used to compare means across different groups and determine if there are significant differences.[7] (5) Analysis of Variance, a statistical test used to compare means between different groups, employed in this study to compare control and treated groups.[8]
From: The Malaysian Journal of Medical Sciences
(1) One-way analysis of variance was performed, and a significance level of P < 0.05 was employed.[9] (2) This statistical test was used to evaluate differences between groups and analyze the correlation between the online learning environment and students' wellbeing.[10] (3) This is the abbreviation for analysis of variance, a statistical method used to compare the differences between the data and the different concentrations of the extract.[11] (4) This is a statistical test used to compare the means of two or more groups, such as the CT HU values for different patient groups.[12] (5) Analysis of Variance, a statistical method used to compare the means of different groups.[13]
From: Journal of Public Health in Africa
(1) This is a statistical analysis of variance used to determine the effect of Rhodamin B on the decrease in BCL-2 expression in the hippocampus tissue.[14] (2) Regarding the association between CRC and the stage of the disease, this was conducted to examine the differences in average age across four cancer stages, according to the text.[15] (3) This is the abbreviation for Analysis of Variance, a statistical test used to compare the means of different groups, as the text describes.[16] (4) The analysis of variance used to establish the linearity between strategic planning and funding.[17]
From: Asian Journal of Pharmaceutics
(1) A statistical method used to treat the results and assess the influence of factors.[18] (2) This analysis was conducted to understand the relationship between lipid, surfactant, co-surfactant and particle size.[19] (3) Analysis of Variance, a statistical method used to compare means of two or more groups to determine if there are significant differences.[20]
From: African Journal of Primary Health Care and Family Medicine
(1) ANOVA (Analysis of Variance) is a statistical test used to compare the means of two or more groups, used to assess the relationship between variables in the study.[21] (2) The 'ANOVA' is used when comparing continuous data that is normally distributed with categorical nominal data, as stated in Table 6.[22]
From: Onderstepoort Journal of Veterinary Research
(1) This refers to the statistical analysis used to evaluate the differences in protection between the vaccinated groups and unvaccinated controls.[23]
From: International Journal of Pharmacology
(1) Analysis of Variance, a statistical test used to compare means across two or more groups.[24] (2) Analysis of Variance, a statistical test used to compare means across different groups.[25] (3) ANOVA, or Analysis of Variance, is a statistical test used to compare the means of two or more groups to determine if there are statistically significant differences between them.[26] (4) This analysis is required to test the significance and adequacy of the regression model, providing insights into the reliability of the model's predictions.[27] (5) A statistical test used for analyzing data to determine significant differences between groups.[28]
From: South African Journal of Psychiatry
(1) This is a type of statistical analysis used to explore the relationships between BRUMS scores and biographical variables, such as population groups, language, level of education, and occupational applications.[29] (2) This is a statistical test used to compare the means of two or more groups, determining if there are significant differences between them.[30] (3) ANOVA is the abbreviation for analysis of variance, a statistical method employed for comparing the means of two or more groups in the study.[31]
From: Sustainability Journal (MDPI)
(1) An analysis of variance carried out at the municipal scale and local tourism destination scale.[32]