The Foundations of Applied Statistics: Exploring Parimal Mukhopadhyay’s Work Parimal Mukhopadhyay
Week 1: Descriptive stats, probability basics, common distributions — exercises + R/Python scripts. Week 2: Point/interval estimation, likelihood basics, small-sample inference. Week 3: Hypothesis testing fundamentals, power analysis, two-sample tests. Week 4: Simple and multiple linear regression, diagnostics, model selection. Week 5: ANOVA, nonparametric methods, sampling techniques. Week 6: Time series intro, applied projects, review, and final problem set. applied statistics parimal mukhopadhyay pdf work
: While some readers find the language challenging for absolute beginners, it is highly recommended as a deep-dive reference for those with a preliminary understanding. model selection. Week 5: ANOVA
This section is highly regarded for competitive exams (like the Indian Statistical Service). applied statistics parimal mukhopadhyay pdf work