Hypothesis testing | Types of Hypothesis Testing | Power of Test | P- Value Method | Effect Size

📘 Notes: https://robosathi.com/docs/maths/stat... 🎥 Full Course Link:    • Statistics for AI & ML | Full Course - 2025   In this video, we’ll understand Hypothesis Testing — one of the most essential concepts in statistics and machine learning! Pre-Requisites ✅    • Classification Metrics | Confusion Matrix ...   Learning Objective:- ✅ What & Why – Understand hypothesis testing and its framework. ✅ Null & Alternative Hypotheses – How to frame and interpret them. ✅ Test Types – Left-tailed, right-tailed, and two-tailed tests explained. ✅ Decision Methods – Critical value and p-value approaches. ✅ Power & Effect Size – Learn test sensitivity and practical significance. 🕘 Time Stamp 🕔 00:00:00 - 00:01:35 Introduction 00:01:36 - 00:14:35 Hypothesis Testing 00:14:36 - 00:21:34 Types of HT 00:21:35 - 00:55:18 Framework for HT 00:55:19 - 01:04:00 Left/Right Tailed 01:04:01 - 01:10:40 Power of Test 01:10:41 - 01:20:30 Effect Size 01:20:31 - 01:27:25 Summary 📊 By the end of this video, you’ll confidently know how to design, perform, and interpret hypothesis tests — a must-have skill for data science, research, and machine learning! #ai #ml #hypothesistesting #probability #statistics #calculus #linearalgebra