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Significance of Statistical test

Statistical test refers to various mathematical methods used for analyzing data, drawing conclusions, and confirming hypotheses in research. These methods, including t-tests, chi-square tests, and the Wilcoxon signed-rank test, are crucial for evaluating the validity of study results and determining the significance of findings. Statistical tests help in interpreting data collected during studies, ensuring reliability, and assessing the effectiveness of treatments, thereby allowing researchers to validate hypotheses and summarize their findings accurately.

Synonyms: Statistical analysis

In Dutch: Statistische test; In Finnish: Tilastollinen testi; In Spanish: Prueba estad铆stica

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 test in local and regional sources

History Books

Statistical test is a method used to analyze data, enabling researchers to draw conclusions or validate hypotheses based on the results, as indicated by regional sources.

Significance in India history and geography:

From: Triveni Journal

(1) A method for analyzing data to draw conclusions or confirm hypotheses.[1]

The concept of Statistical test in scientific sources

Science Books

The keyphrase "Statistical test" pertains to methods utilized for analyzing study data, focusing on comparing results between groups to determine statistical significance.

Significance in Scientific journals, articles, etc.:

From: The Malaysian Journal of Medical Sciences

(1) These are methods used to analyze data and determine the significance of findings, and the MEE of operated and non-operated patients was analyzed using specific statistical tests in the study.[2] (2) These are the methods used to analyze the data and determine if there are any significant differences between the groups in the study.[3] (3) The study used these to analyze the data and determine if there were significant differences or relationships between variables, and assess the impact of various factors.[4] (4) This is a method used to analyze data and determine the significance of the findings, such as chi-square test, Fisher’s exact test, and binary logistic regression.[5] (5) The Spearman correlation statistical test was used because the data were not normally distributed to evaluate the relationship of the parameters.[6]

This section includes scientific research in the field of healthcare, often involving traditional medicine systems such as Ayurveda, Unani, Siddha and Holistic health. It includes papers from scientific journals classified as either original, clinical or experimental research, review articles or case reports.

Plural form: Statistical Tests.