Significance of Statistical analyses
Statistical analyses encompass a variety of mathematical techniques utilized to interpret data collected across different studies. These methods assess the significance of findings in contexts such as antioxidant enzyme activity, surgical site infections, DNA evidence in forensics, and treatment effectiveness. By employing techniques like ANOVA, Tukey's tests, and SPSS, researchers can evaluate relationships between variables, draw meaningful conclusions, and determine the significance of numerous experimental results, ultimately enhancing the understanding of the respective fields.
Synonyms: Statistical analysis, Data analysis, Statistical evaluation, Quantitative analysis, Data interpretation, Statistical assessment, Statistical interpretation, Statistical study
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
The concept of Statistical analyses in scientific sources
Statistical analyses involve methods for interpreting collected data and assessing significance across groups, utilizing various mathematical techniques, including Friedman’s and Wilcoxon signed-rank tests in clinical trials, to evaluate study findings effectively.
From: World Journal of Pharmaceutical Research
(1) The methodological approach used for comparing treatment outcomes between the two patient groups throughout the study.[1] (2) Methods employed to evaluate the collected data and determine the significance of the observed effects of caffeine and sugar.[2] (3) Methods employed to interpret data collected from experiments and draw conclusions based on observed outcomes.[3] (4) The application of statistical methods to interpret experimental data and draw conclusions regarding the significance of treatment effects.[4] (5) Analytical procedures using SPSS to evaluate the relationships between various variables and the grade and stage of papillary urothelial carcinoma.[5]
From: The Malaysian Journal of Medical Sciences
(1) Quantitative techniques used to assess the significance and reliability of DNA evidence in forensic investigations.[6] (2) Methods applied to assess associations among variables - in this case, gender, age, and antibody titre.[7] (3) Methods used to analyze collected data to determine the effectiveness of the nine-square exercise compared to the control group.[8] (4) Methods used to assess the relationships and impacts of medications on outcomes like falls and confusion among the study sample.[9] (5) Mathematical methods applied to assess data collected from the study, determining correlations and significance of the variables measured pre- and post-operatively.[10]
From: International Ayurvedic Medical Journal
(1) Mathematical methods applied to evaluate the significance of the study results, specifically Friedman’s and Wilcoxon signed-rank tests used in the clinical trial.[11] (2) The method used to interpret data collected during the study, to determine the significance of results among different groups.[12]
From: Journal of Ayurveda and Integrative Medicine
(1) The methods used to analyze the results of the experiments to determine the significance of the findings.[13] (2) Methods used to interpret data collect during the study, allowing for evaluation of the efficacy of HFRT on chronic heart failure patients.[14]
From: AYU (Journal of Research in Ayurveda)
(1) Statistical analyses refer to the methods used to interpret data collected and evaluate the significance of the findings in the study.[15]
From: Journal of Indian Society of Periodontology
(1) Mathematical procedures applied to compare data, such as Tukey's multiple post hoc procedure used to analyze differences in apoptotic cell counts across groups.[16]
From: Ayushdhara journal
(1) Statistical analyses involve mathematical methods to interpret numerical data, facilitating conclusions about relationships between studied variables.[17]