When designing an experiment, a common diagnostic is the statistical power of effects. Bradley Jones has written a number of blog posts on this very topic. In essence, what is the probability that we can detect non-negligible effects given a specified model? Of course, there are a set of assumptions/specifications
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The Simulate Responses feature throughout various design of experiments (DOE) platforms has always been a useful tool for generating a set of responses according to a specified model. I use it frequently for the simulated responses in Fit Model (or other appropriate platforms), as a way to check that the
In my post last week, I discussed our latest eggsperiment with hard-boiled eggs – and now it’s time for the results! As a reminder of the factors, we had hard-to-change factors: Cooking Start (Hot/Cold) Cooking Time (10 minutes, 12 minutes, 14 minutes) Salt (0 tsp, ½ tsp, 1 tsp) Vinegar
It’s been years since I last dyed Easter eggs, but this year we decided to give it a try. This means I’ve suddenly found the need to hard-boil some eggs. One of my favorite experiments that I’ve blogged about was the eggciting eggsperiment, so it’s the perfect time to revisit
When I created the four-factor definitive screening design discussed in my previous blog post, I was excited to try out the new technique that Bradley Jones presented at the JMP Discovery Summit. Looking at the dyed cars, I noticed some promising results and a wide array of colors. The new
I’ve been a huge fan of definitive screening designs from the moment I first read about them. I’ve also been excited by Bradley Jones' new approach for analyzing definitive screening designs. As my second experiment with dyeing toy cars had promising results, it seemed like the right time to better
How do you like your coffee? I like my Coffee Crisp. Of all the commercials from my childhood, this is one of the few catchphrases that I remember. I suspect most readers have no idea what I’m talking about – (although it does exist in the UK and for a short period
Last time, I discussed setting up a new stage of experimentation for dyeing diecast vehicles. Not everything went as planned, but there were some positive results. I took the alias optimal design from the previous blog post and used a column shuffle to randomize the rows (it was sorted by
In a previous experiment, my father and I changed the color of diecast cars by placing them in fabric dye. A recent visit from my father allowed us to undertake the next experiment in our dyeing journey with some new ideas from my colleague Lou Valente. With the information gained
At this year’s JMP Discovery Summit in San Diego, there were plenty of fantastic talks. After completing the tasting portion of the potato chip smackdown, one that stuck out for me was my colleague Clay Barker’s presentation on using the Generalized Regression personality in the Fit Model platform in creative