Skill: Calculate and interpret z-scores

Explanation and Free Practice Resources

A z-score measures how far a data value lies from the mean in standard-deviation units, calculated as z=(x−μ)/σz=(x-\mu)/\sigma using the relevant mean and standard deviation. Its sign indicates whether the value is below or above the mean, its magnitude indicates relative distance, and z=0z=0 identifies the mean; for approximately normal data, z-scores also support comparison with standardized normal probabilities and percentiles. This scope excludes advanced inferential procedures such as z-tests and confidence intervals.

Detailed Explanation: Calculate and interpret z-scores

A z-score tells you how many standard deviations a data value is from the mean.

Use the formula

z=x−μσz=\frac{x-\mu}{\sigma}

where:

  • xx is the data value,
  • μ\mu is the mean,
  • σ\sigma is the standard deviation.

Worked example

The scores on a test have a mean of 7070 and a standard deviation of 88. A student scores 8282. Find and interpret the student’s z-score.

Step 1: Identify the values.

x=82,μ=70,σ=8x=82,\qquad \mu=70,\qquad \sigma=8

Step 2: Substitute into the formula.

z=82−708z=\frac{82-70}{8}

Step 3: Calculate.

z=128=1.5z=\frac{12}{8}=1.5

So, the student’s z-score is

z=1.5\boxed{z=1.5}

Step 4: Interpret the z-score.

The positive sign means the score is above the mean. The value 1.51.5 means the score is 1.5 standard deviations above the mean.

If the test scores are approximately normally distributed, a z-score of 1.51.5 corresponds to about the 93rd percentile. This means the student scored higher than approximately 93%93\% of the scores.

Remember:

  • z>0z>0: the value is above the mean.
  • z<0z<0: the value is below the mean.
  • z=0z=0: the value equals the mean.
  • A larger absolute value, such as ∣z∣=2.5 \vert z \vert =2.5, means the value is farther from the mean.

Learn by doing: Calculate and interpret z-scores

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Statistics - Standard Deviation - Graph to Z-Score


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