Z Score Calculator

Z Score Calculation Using Data Points

Enter the values below. The Z Score value will be automatically calculated and displayed.

Data Point Value
Population Mean
Population Standard Deviation
Z Score result

Essentially this is how you can express the above computation :

Z Score Calculation Using Sample Mean and Size

Enter the values below. The Z Score value will be automatically calculated and displayed.

Sample Mean
Sample Size
Population Mean
Population Standard Deviation
Z Score result

Essentially this is how you can express the above computation :

Z Score Calculation

The z-score is the number of standard deviations a data point is from the population mean. You can calculate a z-score for any raw data value on a normal distribution. When you calculate a z-score you are converting a raw data value to a standardized score on a standardized normal distribution. The z-score allows you to compare data from different samples because z-scores are in terms of standard deviations. A positive z-score means the data value is higher than average. A negative z-score means it's lower than average. You can also determine the percentage of the population that lies above or below any z-score using a z-score table.

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