Z-Score Calculator

This z-score calculator tells you how many standard deviations a value sits above or below the mean, and converts that into a percentile and probability on the normal distribution. The z-score, also called the standard score, is one of the most useful ideas in statistics because it puts any value onto a common scale: subtract the mean and divide by the standard deviation, and you get a number that says exactly how unusual the value is, regardless of the original units. A z-score of 0 is right on the mean, a positive score is above it and a negative score below, with most values in normal data falling between minus 3 and plus 3. You enter the value, the mean and the standard deviation, and the calculator returns the z-score together with the percentile, the share of a normal population that falls below your value, and the probabilities of being below and above it. This is exactly what you need for standardised test scores, quality control, comparing results measured on different scales, and reading statistical tables. The percentile uses an accurate approximation of the normal distribution, so it matches printed z-tables closely. Remember the percentile assumes the data is roughly normal. Enter your value, mean and standard deviation to see the z-score and percentile straight away.

1.5
z-score (standard deviations from the mean)
Percentile93.3%
P(below x)0.9332
P(above x)0.0668

How it works

The calculator subtracts the mean from your value and divides by the standard deviation to get the z-score. It then applies an accurate approximation of the normal cumulative distribution to find the share of values below that z-score, which is the percentile, and one minus that for the share above.

Worked example

A test score of 85 with a mean of 70 and a standard deviation of 10 gives a z-score of 15 over 10, which is 1.5. That places the score at about the 93rd percentile, so roughly 93 percent of results were lower.

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