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Standard Deviation Explained

Learn what standard deviation means and how to calculate it.

Measures how spread out data is from the mean.

Why It Matters

Understand reliability, compare datasets, identify outliers.

How to Calculate

  1. Find mean
  2. Subtract mean, square each
  3. Average squared differences
  4. Square root

Population vs Sample

Population uses N. Sample uses N-1 (Bessel's correction).

68-95-99.7 Rule

Normal: ~68% within 1 SD, ~95% within 2, ~99.7% within 3.

Frequently Asked Questions

Variance vs SD?
Variance = squared differences average. SD = square root, in original units.
Sample vs population?
Population: all data. Sample: subset, use N-1.
High SD meaning?
Data spread far from mean — high variability.