Standard Deviation

Standard deviation measures how spread out the numbers are in a dataset.

Low standard deviation → The numbers are close to the average (less variation).

High standard deviation → The numbers are far from the average (more variation).#Statistics #MachineLearning #Zulqai pic.twitter.com/4UHJ19t9DQ

— Zulqarnain Jabbar (@Zulq_ai) March 30, 2025

Standard deviation measures how spread out the numbers are in a dataset.

• Low standard deviation → The numbers are close to the average (less variation).
• High standard deviation → The numbers are far from the average (more variation).

Example:

Low Standard Deviation (Less Spread)

📊 Numbers: 48, 50, 52

• The average (mean) is 50
• All numbers are close to 50
• Standard deviation is small

High Standard Deviation (More Spread)

📊 Numbers: 10, 50, 90

• The average (mean) is still 50
• But the numbers spread far apart
• Standard deviation is large

Why is it Important?

• Helps understand if data is consistent or fluctuating.
• Used in finance, science, and AI to measure risk or uncertainty.