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Z-score = (x − μ) / σ. It measures how many standard deviations a value is from the mean. A z-score of 0 = the mean; ±1 = 68.3% of data; ±2 = 95.5%; ±3 = 99.7%.
Review the inputs carefully and treat the output as an estimate. For decisions involving money, taxes, health, law, or security, compare the result with trusted professional guidance when needed.
What is a good z-score?
It depends on context. In quality control, z-scores within ±3 are normal. In hypothesis testing, |z| > 1.96 means statistical significance at the 5% level (two-tailed).
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