Okay, so today I decided to mess around with “Koo” and “McPherson” – yeah, I didn’t really know what they were either at first. Turns out, it’s about some statistical tests. I needed to figure out which one to use for my data, so I dove in.
Digging into the Data
First things first, I grabbed my dataset. It was just sitting there in a CSV file, all lonely and whatnot. I used some tool, doesn’t real matter, to load it up. Then I looked at the first few rows, just to get a feel for what I was dealing with. You know, make sure there weren’t any crazy outliers or anything.
Koo or McPherson? The Experiment.
I try to find some ready-made functions. One for Koo, one for McPherson. I copy and paste them into my project, and get to work, starting to get a feel for how it works.
- I try to create a funcation.
- I try to copy some code.
- I try to get familar with the code.
Getting the Results
Ran both tests,I got some p-values! Finally, I can see the results.
After running both tests and staring at the p-values for a good while, I finally had a lightbulb moment. It looked like the McPherson test was giving me a more sensible result, So, McPherson it is! I updated my notes and moved on, feeling pretty good about figuring that out.
