<?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/48ee0ea22c9c4b14bb7646e948aba3c0&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/48ee0ea22c9c4b14bb7646e948aba3c0-00001.gif</thumbnail_url><duration>1433.8249999999948</duration><title>Biostatistics: Understanding Variables and Measures of Central Tendency</title><description>In this Loom, I explain the fundamentals of biostatistics, focusing on variables and measures of central tendency. I discuss how biostatistics combines science and mathematics to analyze data and make informed conclusions. I highlight the importance of understanding variables, including numeric and categorical variables, and how they impact data analysis. Additionally, I delve into measures of central tendency, such as mean, median, and mode, and their strengths and limitations. By the end of this Loom, you will have a solid foundation in biostatistics and be able to apply these concepts to your own research or analysis.</description></oembed>