Open AccessBasic statistical tools in research and data analysis
Author(s) -
Zulfiqar Ali,
S Bala Bhaskar
Publication year - 2016
Publication title -
indian journal of anaesthesia/indian journal of anaesthesia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.645
H-Index - 30
eISSN - 0976-2817
pISSN - 0019-5049
DOI - 10.4103/0019-5049.190623
Subject(s) - parametric statistics , interpretation (philosophy) , data science , statistical analysis , meaning (existential) , sample size determination , statistical hypothesis testing , computer science , sample (material) , statistical power , data mining , management science , medicine , statistics , epistemology , mathematics , engineering , philosophy , chemistry , chromatography , programming language
Statistical methods involved in carrying out a study include planning, designing, collecting data, analysing, drawing meaningful interpretation and reporting of the research findings. The statistical analysis gives meaning to the meaningless numbers, thereby breathing life into a lifeless data. The results and inferences are precise only if proper statistical tests are used. This article will try to acquaint the reader with the basic research tools that are utilised while conducting various studies. The article covers a brief outline of the variables, an understanding of quantitative and qualitative variables and the measures of central tendency. An idea of the sample size estimation, power analysis and the statistical errors is given. Finally, there is a summary of parametric and non-parametric tests used for data analysis.