<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/7abf66c1feb343dbacee994caf7bd61a&quot; frameborder=&quot;0&quot; width=&quot;1888&quot; height=&quot;1416&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1416</height><width>1888</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1416</thumbnail_height><thumbnail_width>1888</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/7abf66c1feb343dbacee994caf7bd61a-0387b69e4e716c2b.gif</thumbnail_url><duration>240.5386</duration><title>Understanding Box Plots</title><description>In this video, I explain how to interpret box plots, focusing on key statistical values such as the median, quartiles, and extremes. I provide an example using the academic reputation box plot, highlighting five significant values: maximum, top quartile, median, bottom quartile, and minimum. I illustrate how to assess an institution&apos;s performance based on its position relative to these values, such as being in the top 25% or the bottom 25% of peers. For any additional questions, I encourage you to click on the orange QS logo at the bottom right of the page to access our chatbot and our library of help articles and video tutorials.</description></oembed>