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Ever wondered how researchers decide whether a result is real or just due to chance? In this video, I break down hypothesis testing in a simple, visual way, so you can finally understand what it means to “reject” or “fail to reject” the null hypothesis. You’ll learn: ✅ What null and alternative hypotheses really mean ✅ How test statistics, critical values, and p-values work together ✅ What “rejection” and “non-rejection” zones are on the normal curve ✅ Common mistakes students and researchers make ✅ How to interpret results correctly in exams and research papers This lesson is perfect for: Undergraduate & postgraduate students Thesis writers and early-career researchers Health, science, and social science students Anyone confused by hypothesis testing 👉 Watch till the end for quick examples and simple checks you can use to interpret hypothesis test results with confidence. 🔔 Subscribe for more clear, visual explanations of statistics and research methods. 👍 If this video helped, like and share it with someone struggling with hypothesis testing.