Z-score Calculator

Enter a raw value, mean, and standard deviation to compute the standardized z-score and percentile for normal distributions.

Z-score: 1.8000

Percentile: 96.41%

How to Use This Calculator

  1. Enter the raw score you wish to standardize.
  2. Provide the distribution mean and standard deviation.
  3. Review the computed z-score to understand relative position.
  4. Use the percentile to gauge how the score compares to the population.

Formula

z = (x − μ) / σ

Percentile = Φ(z), where Φ is the standard normal CDF

Full Description

Z-scores standardize observations by subtracting the mean and dividing by the standard deviation, allowing comparisons across different scales. They indicate how many standard deviations a value lies from the mean.

Percentiles translate z-scores into cumulative probabilities, showing the proportion of the distribution below the raw score.

Frequently Asked Questions

Can z-scores be negative?

Yes. Negative z-scores indicate values below the mean.

What if σ = 0?

Z-scores are undefined when the standard deviation is zero because there is no variability.

Do z-scores assume normality?

They are most meaningful under approximate normality, though standardization itself is a simple transformation.

How do I convert percentiles back to raw scores?

Find the z-score corresponding to the percentile, then compute x = μ + zσ.