Z-Score Calculator
Calculate z-scores to standardize values or find the original value from a z-score. Includes percentile calculations and visual representation.
What is a Z-Score?
A z-score (also called a standard score) tells you how many standard deviations a value is from the mean. It allows you to compare values from different distributions on a standardized scale.
Z-Score Formula
z = (x - μ) / σ
Where:
- z = z-score
- x = the value being standardized
- μ = the mean of the distribution
- σ = the standard deviation
To find the original value from a z-score:
x = (z × σ) + μ
Interpreting Z-Scores
| Z-Score | Meaning |
|---|---|
| z = 0 | Value equals the mean |
| z > 0 | Value is above the mean |
| z < 0 | Value is below the mean |
| z = 1 | Value is 1 SD above mean |
| z = -2 | Value is 2 SD below mean |
Common Z-Score Benchmarks
- z = ±1.96 → 95% confidence interval bounds
- z = ±2.58 → 99% confidence interval bounds
- z = ±3 → Typical outlier threshold
Applications of Z-Scores
- Comparing scores from different tests
- Identifying outliers in datasets
- Calculating percentiles in normal distributions
- Quality control in manufacturing
- Standardizing data for statistical analysis
Related Tools
- Standard Deviation Calculator - Calculate σ for your data
- T-Test Calculator - Compare means statistically
- Probability Calculator - Calculate probabilities
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