Significance of P Value
According to Ayurveda, the P Value is a statistical measure used to assess the significance of results, indicating the probability of results occurring by chance. A lower value suggests the results are less likely due to chance, and values less than 0.05 or 0.001 are often considered statistically significant. This value helps determine if observed changes are due to treatment effects or random variation.
Synonyms: Probability value, Statistical significance, Significance level, Test statistic
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
Hindu concept of 'P Value'
In Hinduism, the "P Value" represents a statistical measure used to assess the significance of study results. It determines the probability of observing the results by chance, indicating the treatment's effectiveness. A low P-value suggests significant results.
From: Journal of Ayurveda and Integrated Medical Sciences
(1) The p-value was used to accurately assess the validity of the trail concerning the measured Lung volume and Capacity, providing a quantitative measure to judge the statistical significance of the observed differences between the groups.[1] (2) A statistical measure used in the results section to determine the significance of the observed changes, where a value below zero point zero five indicates that the observed relief is highly unlikely to be due to random chance.[2] (3) This is a statistical measure used to determine the significance of the results, helping to assess whether the observed changes are due to the treatment or chance.[3] (4) This is a statistical measure that indicates the probability of obtaining the observed results if there is no real effect of the intervention, which is used to assess the significance of the findings.[4] (5) This is a statistical measure used to determine the significance of the results, with a value less than 0.05 considered statistically significant.[5]
From: International Research Journal of Ayurveda and Yoga
(1) Used with the Wilcoxon-W test, this was used to statistically analyse the subjective and objective parameters of the patients.[6] (2) It represents the probability of obtaining results as extreme as observed.[7] (3) The corresponding value was noted and obtained results were interpreted as insignificant for p value >0.05, significant for p value <0.05.[8] (4) This is used to show the significant effect of the drug.[9] (5) The study showed a highly Statistical significance with this value <0.001 in both the groups in almost all the parameters.[10]
From: Journal of Ayurvedic and Herbal Medicine
(1) This is the probability value, which is used to determine the statistical significance of the differences observed between the groups in the study.[11] (2) The P value is a statistical measure used to determine the significance of the results, and it is used to determine if the results are statistically significant.[12] (3) The 'P value' is a statistical measure used to determine the significance of the results, indicating the likelihood of the results occurring by chance.[13] (4) This is a statistical measure used to assess the significance of the differences observed between the two groups in the study, related to surgical procedure time.[14] (5) This is a statistical measure used to determine the significance of the results, comparing the treatment groups.[15]
The concept of P Value in scientific sources
P-value is a statistical measure used to assess the significance of results in research. It indicates the probability of observing data as extreme as the results, assuming no real effect. Values below 0.05 (or sometimes 0.01) often suggest statistically significant findings.
From: Sustainability Journal (MDPI)
(1) Probabilities associated with statistical tests that indicate the likelihood of observing the data if the null hypothesis were true, used here to confirm significance.[16] (2) This statistical measure is used to determine the significance of the relationship between variables, with a value less than 0.05 indicating a statistically significant result.[17] (3) p-values are used to assess the statistical significance of hypotheses, with a p-value below a certain threshold (e.g., 0.05) suggesting that the hypothesis is supported.[18]
From: International Journal of Environmental Research and Public Health (MDPI)
(1) The p-value is a statistical measure used to determine the significance of results, with a threshold of less than 0.05 indicating a statistically significant difference.[19] (2) A p value of less than 0.05 was considered statistically significant in identifying factors associated with undernutrition.[20] (3) The probability of obtaining observed results if the null hypothesis were true, used to assess statistical significance.[21]
From: The Malaysian Journal of Medical Sciences
(1) P-values were reported to indicate the probability of obtaining the observed results if there were no true effect, with values less than 0.05 typically considered statistically significant.[22] (2) The threshold used to determine statistical significance, where results less than 0.5 (two-sided) indicated that an observed association was unlikely due to random chance.[23] (3) The P-value represents the probability value used in statistical testing, with a predetermined level of statistical significance set at less than 0.05 to determine if observed differences are unlikely due to random chance.[24]
From: International Journal of Pharmacology
(1) A p-value indicates the probability of obtaining the observed results if the null hypothesis is true, helping to determine statistical significance in research findings.[25] (2) The probability of obtaining results as extreme as the observed results.[26] (3) The highest anti-pseudomonal activity of T. indica methanolic extract was among P. aeruginosa biofilm-forming isolates from blood, as the four concentrations were significantly effective based on this statistical measure.[27]
From: African Journal of Primary Health Care and Family Medicine
(1) The p-values derived from the regression analysis were essential for determining the statistical significance of the measured effects attributable to the free maternity services policy across different sub-counties and facility types.[28] (2) A statistical probability value used to determine the significance of an observed effect, where a small value suggests that the relationship between a variable and the outcome is unlikely to have occurred by random chance alone.[29] (3) P-value of less than 0.05 was considered statistically significant when associations between overall competence and categorical variables were determined.[30]
From: South African Family Practice
(1) The p-value is a statistical measure used throughout the analysis to determine the significance of associations or differences between variables, such as the p-value of 0.68 for screening ability.[31] (2) P-values are used in the statistical analysis to determine the significance of the results, with values less than 0.05 considered statistically significant.[32] (3) The text mentions p values as part of a bewildering array of figures used in medical data analysis, suggesting the need to understand their relevance.[33]
From: Journal of Metabolic Health
(1) A statistical probability value used to determine the significance of the observed differences between data sets, indicating the likelihood that results occurred by random chance alone.[34]
From: International Journal of Pharmacology
(1) P-values are statistical measures used to assess the significance of observed differences, with values less than 0.05 typically indicating a statistically significant result.[35] (2) Indicates statistical significance, with values greater than 0.05 suggesting no significant difference between groups for most parameters.[36] (3) A probability value used in statistical testing to determine the significance of results; a value less than 0.05 indicates a significant difference.[37]
From: Journal of Public Health in Africa
(1) A p-value indicates the statistical significance of a result, with a low p-value suggesting that the observed association is unlikely to be due to chance.[38]
From: South African Journal of Psychiatry
(1) This is a value used in statistical hypothesis testing to determine the significance of results.[39] (2) This is a statistical measure used to assess the significance of results, helping researchers determine if their findings are likely due to chance.[40] (3) This is a statistical measure that helps determine the significance of results, helping to assess the likelihood that observed differences are due to chance.[41]
From: Religions Journal (MDPI)
(1) The probability of finding a total number of Christian corpora among a set of outliers as great or greater than the number observed.[42]