Basics, Application and Interpretation of t-Test

One of the main topics in various fields of humanities education and research is the understanding and correct application of concepts and techniques of statistical science. However, the increasing development and complexity of theoretical foundations as well as its methods and techniques are such that it has become very difficult to identify, implement and interpret the results of statistical models and has caused many (valid) statistical books to be written without effective results in learning, teaching, applying and interpreting. Therefore, publishing a collection of books with a small volume, but relatively complete and comprehensive in the field of statistical topics and models has a key role in solving these problems. Based on this plan, common statistical topics and models (t-test, correlation, chi-square, analysis of variance, regression, etc.), which are widely used in academic teaching and dissertations are discussed. It includes theoretical foundations, assumptions, how to correctly diagnose and apply them, and methods for calculating them, as well as practical and research examples. In the next steps, more advanced statistical models that are of great importance, especially in the preparation and compilation of research reports and academic dissertations, will be presented.