From the course: The Data Science of Experimental Design
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Comparability of experimental conditions
From the course: The Data Science of Experimental Design
Comparability of experimental conditions
- [Instructor] The really picky thing in experiments is setting up the conditions. Imagine that the blue star on the left represents condition A which might be how you are doing things now. You will have to make one minor change to condition A to invent a condition B and then see which one works better. I have made a visual of an example of trying to come up with condition B on the right side of this slide. In one case I just changed the color of the star from blue to orange. In another, I kept the star blue and put a yellow dot on it. In the third, I kept the star blue, but just made it a little bigger. This visual demonstrates making one little change to condition A. The thing is, to represent condition B, I only made one change to the star, like I did not change the color and the size at the same time for condition B. In AB testing, you can only make one change from condition A to condition B. So, basically you can only…
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