Introductory Statistics | Computing an Interquartile Range IQR | Practice Problem

In this tutorial, we focus on the Interquartile Range (IQR), the most robust measure of statistical spread. Unlike the standard range, which can be easily skewed by extreme outliers, the IQR focuses on the "middle 50%" of your data. It tells you where the heart of your dataset lies. We will walk you through the simple yet powerful formula: IQR = Q3 - Q1. You’ll learn how to identify the boundaries of the middle half of your data and understand why the IQR is the preferred tool for identifying potential outliers using the "1.5 x IQR" rule. Whether you're analyzing test scores or housing prices, mastering the IQR allows you to filter out the noise and see the true distribution of your values. ADDITIONAL RESOURCES: 📝 Practice this problem: https://www.myopenmath.com/embedq2.php?id=1513075 📺 Watch the full video lecture: https://youtu.be/6FBgzccBDZ8 📖 Read the lecture notes: https://math.libretexts.org/Courses/Mt._San_Jacinto_College/Interactive_Lecture_Notes_for_Introductory_Statistics 🎙️ Listen to "Chats about Stats" Podcast on Spotify: https://open.spotify.com/episode/0jnpL2nT7M98HTch28T0Rn?si=9dVpv-BLSM2zyq9MrqzPAA