Welcome to our comprehensive tutorial on performing the Mann-Whitney U Test, a non-parametric alternative to the unpaired sample t-test, using GraphPad Prism, presented by Dr. H Ismail! 📊

In this video, Dr. H Ismail will walk you through the process of conducting the Mann-Whitney Test, an essential tool for comparing two independent groups when the data do not meet the assumptions required for parametric tests. This tutorial is designed to help you understand the test's application, execution, and interpretation.

📚 What You'll Learn:
• Introduction to the Mann-Whitney U Test: Understanding the basics and applications.
• Setting Up Your Data: How to correctly enter and format your data in GraphPad Prism.
• Performing the Test: Step-by-step guide to running the Mann-Whitney Test.
• Interpreting Results: How to analyze and report your findings effectively.

🔬 Biological Example:
We will use a biological example to illustrate the concepts: comparing the growth rates of two different plant species when the data do not follow a normal distribution.

🧩 Key Topics Covered:
• Basics of the Mann-Whitney U Test
• Non-parametric vs. parametric tests
• Hypothesis testing
• Assumptions and applications of the Mann-Whitney Test
• Practical application in GraphPad Prism
• Interpreting and reporting results

🎓 Perfect For:
• Students and researchers in biology, medicine, and related fields
• Anyone new to statistical analysis using GraphPad Prism
• Those looking to enhance their data analysis skills

👍 Stay Connected:
If you have any questions or topics you'd like Dr. H Ismail to cover, leave a comment below! We're here to help you master the art of data analysis.

Happy analyzing! 😊

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