Significance of T-test
In Ayurveda, the t-test is a statistical method used to compare the means of two groups. Science defines the t-test as a statistical test used to compare the means of two groups to determine if they are significantly different. Psychiatry and Health Sciences similarly describe the t-test as a statistical test employed to compare the means of two groups to identify significant differences. The t-test is widely utilized for analyzing data and determining the significance of differences between groups in various studies.
Synonyms: Student's t-test, Statistical t-test, Hypothesis test, Statistical 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 'T-test'
In Hinduism, the T-test is a statistical tool. It analyzes data to determine the significance of changes, such as anxiety levels in pregnant women. It compares the means of two groups to assess the results of a study.
From: Journal of Ayurvedic and Herbal Medicine
(1) The t-test is a statistical test used to compare the means of two groups, and it is used in the study to assess the significance of the results.[1] (2) This is a statistical test used to compare the means of two groups, and the study used this test to analyze the data.[2]
From: Journal of Ayurveda and Integrated Medical Sciences
(1) The statistical method used to analyze the data collected from the study, which helped to determine the significance of the changes in anxiety levels of pregnant women before and after the intervention.[3]
The concept of T-test in scientific sources
The t-test, a statistical method, is extensively used to compare the means of two groups. It helps determine if observed differences are statistically significant, often applied in diverse fields like healthcare, clinical trials, and research to analyze data and identify meaningful variations between groups or treatments.
From: International Journal of Pharmacology
(1) A statistical test used to compare the means of two groups for continuous variables.[4] (2) A statistical method employed to compare the means of two groups for measurement data.[5] (3) The t-test was employed for analyzing differences between two groups in the statistical analysis.[6] (4) A t-test was used for statistical analysis of the data.[7] (5) A statistical test used to compare the means of two groups, potentially used in the analysis of the experimental data.[8]
From: The Malaysian Journal of Medical Sciences
(1) This was used to identify significant gender differences in the study, helping to determine whether the observed variations in cranial measurements were statistically significant.[9] (2) This is a statistical test used to compare the means of two groups, and it was used in some of the papers to obtain the differences between groups.[10] (3) A statistical test used to compare the means of two groups to see if they are significantly different from each other.[11] (4) A statistical test used to compare the means between two groups and determine if they are significantly different from each other.[12] (5) A statistical test used in the analysis to determine if there is a significant cost difference between early and late stages of colorectal cancer.[13]
From: Journal of Public Health in Africa
(1) A statistical test used to compare the means of two groups, and it was used to analyze the impact of task shifting on waiting times.[14]
From: South African Journal of HIV Medicine
(1) This is a statistical test used to compare the means of two groups, and the characteristics were compared using this test for continuous variables, along with the Chi-square test.[15]
From: International Journal of Pharmacology
(1) A statistical test used to compare the means of two groups, often used with Bonferroni modification in this study.[16] (2) T-tests are statistical tests used for comparing the means of two groups to determine if they are significantly different.[17] (3) The t-test was utilized for the analysis of categorical data.[18] (4) A statistical test used to compare the differences in characteristics and treatment efficacy between patient groups.[19] (5) A statistical test used to determine the level of statistical significance of the difference between means.[20]
From: South African Journal of Psychiatry
(1) This is a statistical test used to compare the means of two groups, determining if there is a significant difference between them.[21]