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CalcVerse

Calculadora de desviación típica

Calculate the standard deviation and variance of a data set, for a sample or a whole population, with a table of each value's deviation from the mean.

La guía de abajo aún no está disponible en español y se muestra en inglés. La calculadora está totalmente traducida.

Cómo usar esta calculadora

  1. Enter your numbers separated by commas, spaces or line breaks.
  2. Choose sample (most common) or population.
  3. Review the deviation table to see how each value contributes.

Fórmula

Standard deviation measures how spread out values are around the mean. The sample formula divides by n − 1 (Bessel's correction) to give an unbiased estimate of the population variance.

Population: σ = √( Σ(x − μ)² / N )
Sample: s = √( Σ(x − x̄)² / (n − 1) )

Example

  1. Data: 2, 4, 4, 4, 5, 5, 7, 9; mean = 5.
  2. Squared deviations sum to 9 + 1 + 1 + 1 + 0 + 0 + 4 + 16 = 32.
  3. Population σ = √(32/8) = 2; sample s = √(32/7) ≈ 2.138.

Preguntas frecuentes

What does a large standard deviation mean?

Values are spread widely around the mean. A small standard deviation means values cluster closely around it.

What is the 68–95–99.7 rule?

For roughly normal data, about 68% of values fall within 1 standard deviation of the mean, 95% within 2 and 99.7% within 3.

Variance vs. standard deviation?

Variance is the average squared deviation; standard deviation is its square root, which has the same units as the data and is easier to interpret.