Hypothesis Testing Basics: The Contagious Yawning Case Study

Have you ever wondered how data analysts prove whether a trend is real or just a coincidence? Understanding the fundamentals of hypothesis testing is the key to making data-driven decisions. In this written course, you will explore the classic experimental case study on whether yawning is contagious. You will learn how to take raw experimental data, structure it, perform basic statistical tests, and draw mathematically sound conclusions. What you'll learn: 1. Understand the core concepts of null and alternative hypotheses. 2. Analyze experimental data using basic proportion tests and contingency tables. 3. Calculate and interpret p-values to determine statistical significance. 4. Apply modern data validation principles to avoid common analytical errors. 5. Practice drawing clear, evidence-based conclusions from experimental results. You will start with essential statistical terminology and experimental design principles before moving step-by-step through the analysis of the yawning experiment data. This course is designed for absolute beginners in statistics, research, or data analysis, with no prior mathematical background required. Start reading today to master the basics of statistical proof.