Simpson's Paradox. A trend that appears in separate groups can completely reverse when combined.

What if combining data completely changes your conclusion? 📊

That’s Simpson's Paradox.

A trend that appears true in separate groups can completely reverse when the data is combined.

That’s why overall results can be misleading.

How to avoid it:
✅ Check both overall and subgroup results
✅ Look for hidden/confounding variables
✅ Watch for uneven sample sizes
✅ Control important variables
✅ Randomize whenever possible

Rule to remember:
Never trust the overall results until you’ve checked the subgroups.

Have you ever seen data tell two completely different stories? 👇

(Statistics | Data Science | Simpson’s Paradox | Data Analytics | Machine Learning | Confounding Variable | Sampling Bias | A/B Testing | Data Visualization | Business Analytics)

#datascience #statistics #dataanalytics #machinelearning #learndatascience

Видео Simpson's Paradox. A trend that appears in separate groups can completely reverse when combined. канала Decode Data