Z-score / Standard score

This online calculator computes the standard score of a raw score from the given mean of the population and the standard deviation of the population.

This page exists due to the efforts of the following people:

Timur

Timur

Created: 2018-04-10 14:18:42, Last updated: 2021-03-05 16:42:46
Creative Commons Attribution/Share-Alike License 3.0 (Unported)

This content is licensed under Creative Commons Attribution/Share-Alike License 3.0 (Unported). That means you may freely redistribute or modify this content under the same license conditions and must attribute the original author by placing a hyperlink from your site to this work https://planetcalc.com/7772/. Also, please do not modify any references to the original work (if any) contained in this content.

This is a small calculator to compute the standard score for a given data point. In statistics, the standard score is the signed number of standard deviations by which the value of an observation or data point is above the mean value of what is being observed or measured.

Standard scores are also called z-values, z-scores, normal scores, and standardized variables.

The standard score of a raw score x is

z={x-\mu  \over \sigma }
where:

μ is the mean of the population.
σ is the standard deviation of the population.

The absolute value of z represents the distance between the raw score and the population mean in units of the standard deviation. z is negative when the raw score is below the mean, positive when above.

The key point is that calculating z requires the population mean and the population standard deviation, not the sample mean or sample deviation. It requires knowing the population parameters, not the statistics of a sample drawn from the population of interest.1

PLANETCALC, Z-score / Standard score

Z-score / Standard score

Digits after the decimal point: 2
Z-score
 

URL copied to clipboard
PLANETCALC, Z-score / Standard score

Comments