The main aim of this course is data definition, types, presentation of data with tables and graphics, normal distribution, hypothesis setting, errors of hypothesis testing, distribution criteria, data analysis (descriptive and analytical analysis, parametric, non-parametric methods) data presentation and evaluation, published. students' knowledge about critical evaluation of research.

In this course, data definition, types, presentation of data with tables and graphics, normal distribution distribution criteria, errors in hypothesis testing, data analysis (descriptive and analytical analysis, parametric, non-parametric methods), data presentation and evaluation, critical evaluation of findings in published studies are covered.