Significance of Statistical method
Statistical method refers to a range of analytical techniques used to analyze and interpret data collected in research studies. This includes methods such as t-tests, ANOVA, Pearson's correlation, and regression models, which are essential for evaluating treatment effects and understanding relationships between variables. These methods are crucial in various fields, including clinical studies, health research, and pharmaceutical research, ensuring valid conclusions and reliable results from the data analyzed.
Synonyms: Statistical technique, Statistical approach, Statistical analysis, Statistical procedure, Quantitative method, Analysis method, Inferential method
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 method in scientific sources
The keyphrase "Statistical method" encompasses mathematical techniques for data analysis, including descriptive statistics and paired sample t-tests, to evaluate the significance of study results based on collected data.
(1) These are techniques used to analyze data, including descriptive analysis, one-way repeated-measures analysis, and linear regression, to evaluate the study findings.[1] (2) These methods are used to assess measurement error, or reliability, in variables related to sports medicine, according to the text.[2] (3) Statistical methods refer to the application of mathematical techniques to analyze and interpret data, which are used in this study to assess the validity and reliability of the questionnaire.[3] (4) Technological advancements in DNA profiling, including the development of validated kits and statistical methods have made this tool more precise.[4] (5) These are the analytical techniques used to examine the data and draw conclusions, including tests for normality, comparisons, and regression models.[5]