Z-Scores: Standardizing the World
How do you know if a 6ft man is "tall"? You compare him to the average. Z-Scores are the mathematical way to do that.
The Formula
It is surprisingly simple. You just find the difference from the mean, and divide by the spread (Standard Deviation).
Z = (X - μ) / σ
- X: The value you are testing.
- μ (Mu): The Mean (Average).
- σ (Sigma): The Standard Deviation.
Example: The Tall Friend
Let's say the average US male height is 69 inches with a Standard Deviation of 3 inches. Your friend is 6'3" (75 inches).
Calculation: (75 - 69) / 3 = 6 / 3 = 2.0
Your friend has a Z-Score of +2. This puts him in the 97.7th percentile. He is taller than ~98% of men.
Using Z-Tables
Once you have a Z-Score, you look it up in a "Standard Normal Distribution Table" (Z-Table) to find the exact probability or percentile. For example, a Z-Score of 1.96 corresponds to exactly 97.5% of the curve being to the left.