SA-EP6-Mann-Whitney U Test in Statistics [ ENGLISH ]

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SA-EP6-Mann-Whitney U Test in Statistics [ ENGLISH ]

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🎙️ Episode Title: The Mann–Whitney U Test – Comparing Medians Without the Mean 🔍 Episode Description: Welcome back to "Pal Talk – Statistics", your go-to podcast for turning statistical jargon into everyday understanding! In today’s episode, we uncover a non-parametric gem of the statistical world — the Mann–Whitney U Test. Also known as the Wilcoxon Rank-Sum Test, this method is your ideal choice when your data doesn’t follow a normal distribution, and you still want to compare two independent groups. In this episode, we explore: ✅ What is the Mann–Whitney U Test? Learn how this non-parametric alternative to the independent samples T-test compares the distributions — particularly the medians — of two groups, without making strict assumptions about normality. ✅ When to Use It (And When Not To) Data not normally distributed? Sample sizes too small? Outliers ruining your analysis? The Mann–Whitney U Test could be your statistical savior. ✅ Step-by-Step Walkthrough We break down the steps: Setting up null and alternative hypotheses Ranking the combined data Calculating the U statistic Interpreting p-values and drawing conclusions With easy examples — like comparing exam scores between two different schools — to make it click. ✅ Assumptions of the Test It may be non-parametric, but it still has a few rules. Learn about independence, scale of measurement, and equal shape assumptions. ✅ Advantages Over the T-Test We explore why the Mann–Whitney U is especially useful in biological, psychological, and social science research, where real-world data often breaks the ideal normal curve. ✅ Real-Life Applications Comparing pain relief levels between two treatments Analyzing customer satisfaction across two branches Measuring productivity between remote and in-office workers ✅ Statistical Power and Limitations No test is perfect! We’ll also discuss when the Mann–Whitney U Test might fall short — and what alternatives (like bootstrapping or permutation tests) you can consider. 👥 Hosts: Speaker 1 (Male): A statistics teacher with a passion for real-world examples. Speaker 2 (Female): A curious learner representing your questions and doubts. 🎧 This episode is a must-listen for students, researchers, and data lovers who work with ordinal data, small sample sizes, or non-normal distributions. Gain confidence in choosing and using the right test for your analysis! 📌 Coming Soon on “Pal Talk – Statistics”: Wilcoxon Signed-Rank Test Kruskal–Wallis H Test Parametric vs Non-Parametric Decision-Making Statistical Power & Sample Size 💡 Don’t forget to subscribe, share, and rate “Pal Talk – Statistics” to support open and accessible data education. 🎓 Pal Talk – Where Data Talks.