<?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/a33059a9932f4900ae3d1d98663e10c4&quot; frameborder=&quot;0&quot; width=&quot;1838&quot; height=&quot;1378&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1378</height><width>1838</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1378</thumbnail_height><thumbnail_width>1838</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/a33059a9932f4900ae3d1d98663e10c4-f67fa579c39cba47.gif</thumbnail_url><duration>2061.799</duration><title>1H Grade 6 Data</title><description>This Loom walks through interpreting cumulative frequency graphs and box plots, then comparing distributions and making estimates from them. It covers finding quartiles and the median from 48 trains with delays between 0 and 42 minutes, and using range to compare Monday (42) versus Tuesday (33), concluding Mary is not definitely correct about delays between 25 and 30 minutes. It also estimates interquartile range and probabilities from cumulative frequency graphs, including an example where 23 out of 40 people are estimated to be between 50 and 90 minutes. The Loom then explains mean calculations from a frequency table and uses box plot or cumulative frequency graphs to estimate pass counts based on a 40 mark pass threshold.</description></oembed>