Exploring SPSS statistics for data mining and statistical modeling

• DOI: 10.22271/maths.2024.v9.i3a.1721
• Publication Date: 2024-05-22T14:21:05Z
• Authors: Kanwal Preet Sing...; Amardeep Singh Dh...

In the era of big data, where an astonishing volume information, measured in billions bytes, is generated daily, role data mining tools becomes paramount extracting valuable insights. This study provides in-depth exploration SPSS Statistics, a powerful tool that assumes central manipulation, analysis, and presentation. The paper illuminates SPSS's fundamental interface, focusing on its core components: Data Editor Viewer. Within Editor, we delve into dual perspectives-the View Variable View-examining their functionalities comprehensively. Special emphasis placed entry procedures within SPSS, as well versatile columns available for defining variable characteristics. Furthermore, this elucidates concept statistical modeling practical application constructing Regression models using SPSS. Various methods developing robust models, including Hierarchical Stepwise Regression, are outlined. final section, delves diverse concepts, such null hypothesis significance level, offering comprehensive discussion.