Paired t-Test Explained: Comparing Dependent Samples & Before-After Data

Learn how to perform and understand the Paired t-Test (Dependent t-Test) in statistics! 📊 This video breaks down the concepts of comparing related samples, such as 'Before vs. After' experiments or matched pairs analysis. We cover: ✅ The difference between Independent and Dependent samples ✅ Common scenarios like pre-test/post-test designs ✅ How to set up the Null and Alternative Hypotheses ✅ The formula explained simply ✅ A step-by-step example using weight loss data Perfect for students in statistics, psychology, or data science looking to master hypothesis testing. 🎓 #statistics #datascience #math #education #learning #hypothesis Chapters: 00:00 - Introduction 00:20 - What is a Paired t-Test? 00:47 - Dependent vs. Independent Samples 01:18 - Common Scenarios 01:45 - The Hypotheses 02:11 - The Formula 02:37 - Assumptions 03:04 - Example Data 03:30 - Calculating Differences 03:55 - Summary 04:22 - Outro 🔗 Stay Connected: ▶️ YouTube: https://youtube.com/@thecodelucky 📱 Instagram: https://instagram.com/thecodelucky 📘 Facebook: https://facebook.com/codeluckyfb 🌐 Website: https://codelucky.com ⭐ Support us by Liking, Subscribing, and Sharing! 💬 Drop your questions in the comments below 🔔 Hit the notification bell to never miss an update #CodeLucky