๐Ÿ“ŠZ-Score & Percentile Calculator

Calculate the Z-score and normal distribution percentile from a mean, standard deviation, and data value

How to Use the Z-Score & Percentile Calculator

This calculator takes a mean (ฮผ), a standard deviation (ฯƒ), and a data value (x) you want to check, then instantly returns the Z-score and percentile. The Z-score is calculated as (x - mean) รท standard deviation, a standardized measure of how many standard deviations a value sits away from the mean.

A Z-score of 0 means the value equals the mean exactly, a positive score means it's above the mean, and a negative score means it's below the mean. Standardizing values into Z-scores makes it possible to directly compare figures that use different units or distributions โ€” test scores, height and weight, or quality-control measurements, for example.

The percentile shows what share of the data falls at or below that value, assuming the data follows a normal distribution (computed using an approximation of the standard normal cumulative distribution function). The standard deviation must be greater than 0 โ€” if it's 0 or negative, the Z-score can't be calculated, and the calculator immediately shows a guidance message.

Frequently Asked Questions

What does a negative Z-score mean?

A negative Z-score means the data value is below the mean. For example, Z=-1 means the value is one standard deviation below the mean.

How should I interpret the percentile result?

A percentile of 84% means roughly 84% of the data falls at or below that value, assuming the data follows a normal distribution. This is an approximation based on that assumption.