Formula for Calculating Z Score

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Z-Score Calculator

Your Z-Score is:
0.00

What is a Z-Score?

A Z-score, also known as a standard score, is a statistical measurement that describes a value's relationship to the mean of a group of values. It 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.

The Formula for Calculating Z-Score

To calculate a Z-score, you subtract the population mean from the individual raw score and then divide the result by the population standard deviation.

Z = (x – μ) / σ
  • x: The raw score or value being measured.
  • μ: The population mean (average).
  • σ: The population standard deviation.

How to Interpret the Result

The resulting Z-score tells you exactly where your score lies on a normal distribution curve:

  • Positive Z-score: The value is above the average.
  • Negative Z-score: The value is below the average.
  • Z-score of 0: The value is exactly equal to the average.

Real-World Example

Imagine a student scores 85 on a math test. The class average (mean) was 75, and the standard deviation was 10. Using the formula:

Z = (85 – 75) / 10 = 10 / 10 = 1.00

This means the student's score is 1 standard deviation above the mean.

function calculateZScore() { var x = parseFloat(document.getElementById("rawScore").value); var mu = parseFloat(document.getElementById("popMean").value); var sigma = parseFloat(document.getElementById("stdDev").value); var resultContainer = document.getElementById("zResultContainer"); var resultValue = document.getElementById("zResultValue"); var resultInterp = document.getElementById("zResultInterpretation"); if (isNaN(x) || isNaN(mu) || isNaN(sigma)) { alert("Please enter valid numeric values for all fields."); return; } if (sigma === 0) { alert("Standard deviation cannot be zero."); return; } var z = (x – mu) / sigma; var roundedZ = z.toFixed(4); resultValue.innerHTML = roundedZ; var interpretation = ""; if (z === 0) { interpretation = "This value is exactly at the mean."; } else if (z > 0) { interpretation = "This value is " + Math.abs(roundedZ) + " standard deviations above the mean."; } else { interpretation = "This value is " + Math.abs(roundedZ) + " standard deviations below the mean."; } resultInterp.innerHTML = interpretation; resultContainer.style.display = "block"; }

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