Metadata
- Author: Roger Peng
- Full Title:: Tukey, Design Thinking, and Better Questions
- Category:: 🗞️Articles
- Document Tags:: Data Analysis, To share (colleagues),
- URL:: https://simplystatistics.org/posts/2019-04-17-tukey-design-thinking-and-better-questions/
- Finished date:: 2024-11-20
Highlights
Maybe what we spend most of our time doing is figuring out a better question. (View Highlight)
It’s the first “diamond” in the “double diamond” approach to design. (View Highlight)
• You’re probably asking the wrong question anyway, so don’t take yourself too seriously; • The “best” approach is only defined as “best” according to some arbitrary criterion that probably isn’t suitable for your problem/question. (View Highlight)
(In my view, the most useful thing a data scientist can do is to devote serious effort towards improving the quality and sharpness of the question being asked. (View Highlight)
The following is from the very opening of Tukey’s book *Exploratory Data Analysis:
It is important to understand what you CAN DO before you learn to measure how WELL you seem to have DONE it (View Highlight)
It is the residuals that really let you learn about the data, discover whether there is anything unusual, whether your question is well-formulated, and how you might move on to the next step. So in the end, you got row medians, column medians, and residuals, i.e. more data. (View Highlight)