By Debmedia Technologies LLP · Kolkata, India · Updated
What Is It and When Do You Need It?
A z-score puts any value on a common scale. A mark of 85 means little until you know the class average and spread. Converting it to a z-score tells you how unusual it is, and lets you compare marks from different tests.
Enter the value, the mean and the standard deviation to get the z-score, its percentile and the tail probabilities.
How to Use This Tool
- Enter your value x.
- Enter the mean and the standard deviation of the group.
- Press Calculate.
- Read the z-score and the percentile.
How the Calculation Works
The z-score is (x − μ) ÷ σ. The percentile comes from the normal cumulative distribution, calculated with a precise approximation of the error function (accurate to about seven decimal places).
Worked Example
A score of 85 in a test with mean 70 and standard deviation 10 has z = 1.5. About 93.32% of students scored lower, so that is the 93rd percentile, and about 6.68% scored higher.
Common Uses
- Comparing scores from different tests.
- Spotting outliers, often beyond ±3.
- Hypothesis tests and quality control.
- Standardising data before analysis.
Tips and Common Mistakes
- The standard deviation must be above zero.
- About 95% of values lie between z = −2 and z = +2 for normal data.
- Use the standard deviation tool to find σ from raw data first.
Related Tools
Next, you may need the standard deviation calculator, average calculator, percentage calculator, percent error calculator.
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Frequently Asked Questions
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