Standardize your data points and find their relative position.
Parameters
Z-Score Analysis
Z-Score1
Percentile84.13%
Difference15
Standard Normal Distribution
Overview
A Z-score describes a value's relationship to the mean of a group of values. Z-score is measured in terms of standard deviations from the mean. If a Z-score is 0, it indicates that the data point's score is identical to the mean score.
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Pro Tips
A positive Z-score indicates the raw score is higher than the mean average.
A negative Z-score reveals the raw score is below the mean average.
Z-scores are also called standard scores.
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Fun Facts
"Z-scores allow you to compare things on different scales, like comparing Math scores to English scores."
"A Z-score of +3.0 represents a roughly 99.9th percentile outcome!"
"About 95% of all Z-scores in a normal distribution fall between -1.96 and +1.96."
