Chocolate smackdown: The final analysis

Recently, my colleague Ryan Lekivetz wrote about our trip to Discovery Summit Europe in Brussels and our plan to test whether Belgian chocolate was really better-tasting than US chocolate. Ryan has blogged in detail about the constraints of designing the study, as well as the factors involved. In this blog [...]

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Chocolate smackdown: US vs. Belgium

This year, I was fortunate enough to present at the JMP Discovery Summit Europe in Brussels, Belgium. When looking for something to bring back for my colleagues in Cary, I first thought of chocolate (actually, my first thought was probably beer, but that didn’t seem like a good idea). One [...]

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The QbD Column: A QbD fractional factorial experiment

The first two posts in this series described the principles and methods of Quality by Design (QbD) in the pharmaceutical industry. The focus now shifts to the role of experimental design in QbD. Quality by Design in the pharmaceutical industry is a systematic approach to development of drug products and [...]

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Why it's important to brainstorm factors and levels in a designed experiment

The best time to plan an experiment is after you’ve done it – R.A. Fisher If you’ve read through my previous blog posts, I usually mention issues discovered during an experiment that I would change if I were to do the experiment again, or things to consider in the subsequent [...]

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Toy cars and DOE: The results

Last time, I gave a Father’s Day tale of a father and son’s quest in dyeing toy cars. This time, I’ll share our results, but first remind you of the factors we studied: Car: A/B/C/D Dye type: Solid/liquid Dye amount: low/high (2 Tbsp liquid/4 Tbsp liquid per half cup, or [...]

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Father's Day fun with toy cars and DOE

With Father’s Day fast approaching, it seemed fitting that I should share a story about a father and son bonding over design of experiments (DOE) and toy cars. Full disclosure: Some (including their wives) think both the father and son in this tale are too old to be playing with [...]

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Using the Disallowed Combinations Filter in JMP 12

In a previous blog post, I investigated my travel time to work using an estimate from Google Maps. In that post, my possible departure times to and from work were the same every day. However, it’s not uncommon in designs, even when using computer simulators, to have restrictions on the [...]

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Testing software preferences with a covering array

In any computer software, it’s not unusual to have a set of preferences to allow customization to the settings. JMP is no exception. For example, in JMP 12, the Categorical platform allows for a great deal of the output to be tailored to the user’s preferences. Here’s what we see [...]

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IoT, DOE and more

Internet of Things (IoT) and design of experiments (DOE) are just two of the things you will hear about if you tune in to the Analytically Speaking webcast with Dennis J.K. Lin and Bradley Jones on June 10. Both are invited speakers at the 32nd Quality & Productivity Research Conference, [...]

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Using a space filling design and Google Maps to plan my commute: Part 2

In my previous blog post, I created a 150-run space filling design to collect travel times over various departure times in the morning and evening. I wanted to see if I use this designed experiment to  learn something useful about my commute. Google Maps gives a range of times for [...]

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