Significance of Statistical analyses
Statistical analyses refer to the various mathematical methods employed to interpret and analyze collected data in research studies. These analyses include techniques such as one-way and two-way ANOVA, chi-square tests, and regression analyses to determine relationships and significance of findings. Various software tools, including IBM SPSS, are utilized to perform these analyses, which aim to assess factors influencing outcomes, evaluate the effects of interventions, and ensure the validity of the research results.
Synonyms: Statistical analysis, Data analysis, Statistical evaluation, Quantitative analysis, Data interpretation, Statistical assessment, Statistical interpretation, Statistical study, Statistical investigation
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: The Malaysian Journal of Medical Sciences
(1) This phrase refers to the use of various methods, including chi-square tests and ordered probit regressions, to analyze the data and investigate the relationship between human immunodeficiency virus knowledge and sociodemographic factors.[1] (2) Statistical analyses, such as the random-effects model, are utilized to assess the relationship between EMF exposure and the risk of miscarriage, providing data.[2] (3) Statistical analyses are sessions where students must be able to apply their knowledge, determine the appropriate statistical analysis for a given dataset, and interpret and present the results, according to the text.[3] (4) These were conducted within the Net station and then SPSS 24 software, including filtering, segmentation, and baseline corrections, as well as artifact removal.[4] (5) This term refers to the use of mathematical methods to analyze and interpret data, and the findings were summarized as frequencies and percentages.[5]