Standard Error Visualizer
Illustrates the difference between standard deviation and standard error, and how standard error shrinks with sample size.
What it does
- Shows the variability of individual observations (SD)
- Shows the variability of the sample mean (SE)
- Demonstrates how SE = SD / sqrt(n) decreases as n increases
- Addresses a common source of confusion in statistics
Key concepts illustrated
- Standard deviation — how spread out individual data points are
- Standard error — how precisely the sample mean estimates the population mean
- SE shrinks with larger samples (precision improves)
- The relationship:
SE = SD / sqrt(n)
This is a teaching tool for building intuition about sampling precision.
A UniversalChatBot is available for discussion.