The main objective of this course is to provide the students with a general knowledge on the definition and types of data, table and graphical representation of data, normal distribution, hypothesis building, errors of hypothesis testing, distribution criteria, data analysis, descriptive and analytical analysis, parametric and non-parametric methods, correlation, regression analysis, advanced statistical methods, presenting and evaluating data in research, and evaluating findings in published research.

In this course covers topics, data definition and types, data and table presentation, normal distribution distribution criteria, hypothesis testing errors data analysis, descriptive and analytical analysis, parametric, non-parametric methods, correlation, regression analysis, advanced statistical methods, data presentation and evaluation in research Critical evaluation of findings in published research.