Statistical Data Analysis

This course introduces students to statistical methods often used in scientific data analysis. It begins by giving a statistical view to students and then introduces them to the basics of descriptive statistics. The probability theory and concept, probability distributions and statistical inference are also covered. Students are then introduced to hypothesis testing, comparison of two mean values, basics of experimental design and one way Anova. Significance of the F test, experiments with a block structure, factorial experiments, random and hierarchical models, split-plot experiments and checking the assumptions in Anova are also covered in this module.