Z-Score Standardization Calculator
Paste a list of numbers, compute their z-scores using sample mean and standard deviation, and download a CSV of the results.
Input Data
Z-Score Results
Enter numbers and click Calculate
| # | Original Value | Z-Score | Outlier? |
|---|
Downloaded!
Summary
Paste a list of numbers, compute their z-scores using sample mean and standard deviation, and download a CSV of the results.
How it works
- Paste or type your numbers into the input box, separated by commas, spaces, or newlines.
- The tool computes the sample mean and sample standard deviation of your dataset.
- Each value's z-score is calculated as (x − mean) / SD.
- A table shows each original value alongside its z-score, rounded to 4 decimal places.
- Click "Download CSV" to save the full results table to your computer.
Use cases
- Standardize features before running a machine learning algorithm.
- Identify outliers: values with |z| > 2 or 3 are typically flagged.
- Compare measurements from different instruments or scales.
- Prepare data for PCA or other methods that assume zero-mean input.
- Grade normalization across multiple exam versions.
- Remove scale effects when combining variables in a composite index.
Frequently Asked Questions
Last updated: 2026-07-01 ·
Reviewed by Nham Vu