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

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

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

Listen for free

View show details

About this listen

 🎙️ 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.
No reviews yet
In the spirit of reconciliation, Audible acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.