Significance of Statistically Significant
Statistically significant generally refers to research findings where the observed results or differences are unlikely to be due to random chance. Across various fields, this is frequently determined by a p-value threshold, commonly set at less than 0.05. This designation implies that the treatment or intervention being studied has a real or meaningful effect, supporting the validity of the observed outcomes.
Synonyms: Significant, Meaningful, Notable, Relevant, Substantial, Important
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
Hindu concept of 'Statistically Significant'
In this context, "Statistically Significant" describes study results, indicating observed changes or differences are highly unlikely to be due to random chance, thereby suggesting a real, meaningful effect of the treatment or intervention tested.
From: Journal of Ayurvedic and Herbal Medicine
(1) Statistically significant is a term used to describe findings in research, such as the inverse association found between tea catechins and gastric cancer in one cohort study, or the increased risk of breast cancer from high black tea consumption in another.[1] (2) This is a term used to describe the results.[2] (3) This means the results are not likely due to chance.[3] (4) This term is used to describe the results of the study, specifically the reduction in cholesterol, triglycerides, and the increase in HDL levels, which showed this level of importance.[4] (5) A finding that is unlikely to have occurred by chance, indicating a real effect of the extract.[5]
From: Journal of Ayurveda and Integrated Medical Sciences
(1) It was observed in the improvement in the symptoms after the intervention.[6] (2) In a study involving 40 patients, the clinical outcomes were this in both Group I and Group II on the subjective criteria.[7] (3) This term is used to describe the changes observed in various parameters after treatment, indicating that the changes are unlikely to be due to chance.[8] (4) Statistically significant changes indicate that the observed differences are unlikely due to chance, supporting the effectiveness of Phalatrikadi Kwatha in treating Pandu.[9] (5) This describes the results of the study, indicating that the observed changes in the symptoms of the disease are unlikely to be due to chance and suggest a real effect of the treatment.[10]
From: International Research Journal of Ayurveda and Yoga
(1) This is indicated by SS in the tables, it is used in statistical analysis.[11] (2) This phrase indicates that the results of the study are unlikely to be due to chance, and show meaningful differences.[12]
The concept of Statistically Significant in scientific sources
**Statistically Significant** fundamentally means observed results are unlikely to be due to random chance, often validated by a p-value less than 0.05, suggesting a real or meaningful effect in the study findings.
From: The Malaysian Journal of Medical Sciences
(1) A statistically significant result indicates that an observed effect is unlikely to be due to random chance; this term was used throughout the study to describe significant differences in IOP reduction and adherence scores.[13] (2) A P-value less than 0.05 was established as the threshold for determining that an observed result was statistically significant, indicating that the findings were unlikely to be due to random chance alone.[14] (3) A result was considered statistically significant if the calculated P-value from the $\chi^2$-square test fell below the established threshold of $P < 0.05$ for the analysis.[15]
From: African Journal of Primary Health Care and Family Medicine
(1) Differences between the groups are considered statistically significant when determined by calculating P -values using methods such as the Kruskall-Wallis one-way analysis of variance test.[16] (2) A probability value of 5% or less was used to determine if the observed results were likely due to chance or a real effect.[17] (3) This is a term used to describe findings that are unlikely to be due to chance, and the study reported some statistically significant results.[18]
From: South African Family Practice
(1) A p-value of less than or equal to 0.05 was established as the threshold considered statistically significant for determining whether observed differences in the data were unlikely due to random chance.[19] (2) It refers to data presented in bold, indicating a notable level of statistical importance within the study's findings.[20] (3) Statistically significant refers to the increased incidence of Parkinsonism found at certain stations, determined through statistical analysis.[21]
From: South African Journal of Physiotherapy
(1) A result obtained from applying inferential tests that suggests the observed difference in prevalence between specific groups is unlikely to have occurred by random chance alone.[22] (2) Statistically significant results were found in the ball group, indicating an improvement in rotational biomechanics, with confidence intervals calculated to determine if the 'true value' was within the accepted clinical corridors.[23] (3) This is a term used to describe the results of the Friedman test, indicating that the leaning diagonally forward pressure-relieving technique is more effective for all three wheelchair cushions.[24]
From: International Journal of Pharmacology
(1) Statistically significant refers to changes in certain blood parameters, such as urea and potassium, that met the threshold (p<0.05) for difference when compared to the baseline measurements taken before treatment initiation.[25] (2) This is determined by a p-value of less than 0.05, indicating that the results are unlikely due to random chance.[26] (3) The p<0.05 was accepted as this in the study.[27]
From: International Journal of Environmental Research and Public Health (MDPI)
(1) Statistically significant differences indicate that observed differences between groups or variables are unlikely to have occurred by chance, suggesting a real effect or relationship.[28] (2) A result that is unlikely to have occurred by chance alone, typically determined by a p-value below a predetermined threshold.[29] (3) A result that is unlikely to have occurred by random chance, typically indicated by a p -value less than 0.05.[30]
From: Sustainability Journal (MDPI)
(1) This means that the observed relationship between variables is unlikely to have occurred by chance, with a high degree of confidence.[31] (2) A statistically significant finding suggests that the observed relationship between a variable and the acceptance of systems is unlikely to be due to random chance.[32] (3) A statistically significant result indicates that the observed effect is unlikely to have occurred by random chance, suggesting a genuine relationship between variables.[33]
From: International Journal of Pharmacology
(1) A p-value less than 0.001 was considered this, indicating a low probability that the observed results were due to random chance.[34] (2) A result that is unlikely to have occurred by random chance, typically determined by a p-value threshold.[35] (3) Statistically significant indicates that the observed results are unlikely to have occurred by chance alone, typically with a p-value below 0.05.[36]
From: South African Journal of Psychiatry
(1) A p-value of less than 0.05 was deemed statistically significant in the study, and adherence improved from 60.8% to 83.51% post-intervention, indicating a positive impact.[37] (2) It is the determination of an index when assessing the relationship between pregnancy-related anxiety and neuroticism, though it was not found to be such.[38] (3) A p value of <0.05 was taken as statistically significant in the study.[39]
From: Religions Journal (MDPI)
(1) Statistically significant results are those that are unlikely to have occurred by chance, suggesting a real effect or relationship, as found for the changes in both Knowledge and Comfort scores.[40] (2) The statistically significant findings, as shown by various steps, indicate the relationships between variables, such as years married predicting IPV, and praying with children being a significant predictor.[41] (3) This indicates that a result is unlikely to have occurred by chance and suggests a real effect or relationship between variables based on statistical analysis.[42]