<?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/fdcbceb9046643f699c3c99a7aa348e0&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/fdcbceb9046643f699c3c99a7aa348e0-02d7a45d861504b0.gif</thumbnail_url><duration>135.062</duration><title>Calculating Mean Responses in DOE Analysis</title><description>In this video, I demonstrate how to calculate the mean average from our response data within a Design of Experiments (DOE) framework. We replicated the entire DOE design to include three replicates, and I show you how to pivot this data in the Reshape tab. I then walk you through the process of applying mathematical transformations in the Calculate Design tab to derive the mean of these replicates. I also highlight how to select the appropriate response columns for this calculation. Please ensure you follow along and replicate these steps in your own dataset to optimize your results.</description></oembed>