The course comprises three modules: (a) Basic Probability Theory, (b) Applied Statistics, and (c) Experimental Design. The primary objective of the first module is to familiarize students with core probability concepts, providing the theoretical background necessary for evaluating experimental data. The second module incorporates practical application in the School’s PC-Lab to equip students with practical skills in essential statistical analysis tools, enabling them to conduct both quantitative and qualitative research, analyze empirical data, and draw valid statistical conclusions. Lastly, the third module explores factorial designs with two or more factors across multiple levels, along with optimal experimental design principles.