Summary Notes for Data Analysis and Suitable as 2-A4-pages cheatsheet

Description

Data Analysis Cheatsheet This is a cheatsheet designed for students studying Data Analysis courses. It summarises core concepts, key distinctions, and commonly used formulas in a concise format to support revision and exam preparation. 📌 What’s Included Experiment vs Observational Study Random variables, distributions, and CLT Point estimates and confidence intervals Hypothesis testing (HT) workflow Common statistical tests (t-tests, ANOVA, χ², regression) Variable types → appropriate plots and tests Summary of essential statistical formulas 🎯 Intended Users Students taking Data Analysis courses Learners who want a clear overview of when and why different statistical methods are used 📝 How to Use First, work through all lecture notes to build a solid understanding of each topic. Use this cheatsheet alongside each chapter, becoming familiar with the corresponding concepts, methods, and key distinctions. After completing all chapters, use the cheatsheet to support your revision while working through past exams provided by the lecturer, focusing on method selection and overall structure. Revision strategies for past exams may vary by individual—use the cheatsheet in a way that best suits your own study style. This cheatsheet is intended as a revision and reference tool, not a replacement for lecture notes or practice.