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If you’ve ever read a journal article, scrolled through medical headlines, or sat in a stats class, chances are you’ve come across the p-value. It sounds important, but what does it really mean? In this video, we’ll break down the concept of the p-value and hypothesis testing in plain language: ✅ What a p-value is (and what it's not) ✅ Why it’s central to hypothesis testing ✅ How researchers use it to decide if results are due to chance or signal something real ✅ Important things to note 🎥 Have a look and take the mystery out of p-values! 0:23 Random error 1:24 Hypothesis testing 1:53 Example 3:47 Hypothesis testing 5:18 Things to note #statistics #epidemiology #pvalue #researchmethods #hypothesistesting Created by: Dr Ranil Appuhamy Narrated by: James Clark Creative assistance - Neha Disclaimer: These videos are provided for educational purposes only. Users should not rely solely on the information contained within these videos and is not intended to be a substitute for advice from other relevant sources. The author/s do not warrant or represent that the information contained in the videos is accurate, current, or complete and do not accept any legal liability or responsibility for any loss, damages, costs or expenses incurred by the use of, or reliance on, or interpretation of, the information contained in the videos.