Z-Scores
Learn what a z-score tells you, how to calculate it, how to turn it back into a value, and how to compare results from different tests.
Definition
- is the value you look at
- (mu) is the mean of the distribution
- (sigma) is the standard deviation
- : the value is above the mean
- : the value is below the mean
- : the value is exactly the mean
- says how far away it is, measured in standard deviations
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Worked Examples
Write the formula
Subtract the mean (distance from the mean)
Divide by the standard deviation
Answer: : Mia scored about 1.33 standard deviations above the class mean.
Common Mistakes
Subtracting in the wrong order:
Why it's wrong: This flips the sign. A value above the mean would get a negative z-score, which says the opposite of the truth.
Correct: Always value minus mean: . For , , : , not .
Forgetting the brackets: typing into a calculator
Why it's wrong: The calculator divides first and gets , which is not a z-score at all.
Correct: Subtract first, then divide: .
Comparing raw scores from different tests
Why it's wrong: 88 points on a test with , is not automatically better than 82 points on a test with , . The tests have different centers and spreads.
Correct: Convert each value to a z-score first, then compare: versus , so the 82 is relatively better.
Thinking a negative z-score means a bad result
Why it's wrong: The sign only tells you below or above the mean. Whether that is good depends on the context.
Correct: For running times or prices, lower is better, so can be an excellent result. For test scores, higher is better.
Interactive Visual
Math test: μ = 74 points, σ = 6 points. Drag the score and watch z
μ = 74 points, σ = 6 points · Drag a handle or type x or z.
z = (x − μ)/σ = (82 − 74)/6 = 1.33
Who did relatively better?
Which result is better compared with its own group? Tap it.
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Practice Problems
18 problemsWhy It Matters
- School and exams: comparing results from different classes, subjects or years, even when the tests had different difficulty
- Medicine: growth charts for children and bone density reports are given as z-scores, a child with for height is checked by a doctor
- Sports: comparing athletes across different events, like a sprinter and a long jumper
- Quality control: factories flag products whose measurements have or
- Finance and science: spotting unusual values (outliers) in data
Real World Applications
Sports: Comparing Sprint Times
Coaches compare athletes with z-scores. In races a lower time is better, so a negative z-score means faster than average.
Example:
In a regional 100 m race the times have s and s. A time of s has : slower than average.
In the same race ( s, s), Sara runs s.
What is Sara's z-score?
Step 1: Write the mathematical expression
Calculate :
Medicine: Growth Charts
Pediatricians describe a child's height or weight as a z-score compared with children of the same age. Values below $z = -2$ are checked more closely.
Example:
A child with height is exactly average for the age, is one standard deviation taller than average.
For 8-year-olds, heights have cm and cm. A doctor checks every child with .
Below which height (in cm) is a child checked?
Step 1: Write the mathematical expression
Use with :
Quality Control: Cereal Boxes
A factory fills cereal boxes. Boxes whose weight has $|z| > 2$ are taken off the line and checked.
Example:
The filling machine gives g and g. A box of g has : perfectly normal.
A box on the line weighs g ( g, g).
What is the z-score of this box?
Step 1: Write the mathematical expression
Calculate :
Key Takeaways
- 1A z-score tells how many standard deviations a value is from the mean:
- 2Positive z: above the mean, negative z: below the mean, : exactly the mean
- 3To go back from z to a value, use
- 4A z-score has no unit, so values from different distributions can be compared: the larger z is relatively higher
- 5A value with is usually called unusual, it lies more than 2 standard deviations from the mean
- 6Always subtract first, then divide:
Frequently Asked Questions
Glossary
- Z-score (standard score)
- The number of standard deviations a value lies above (positive) or below (negative) the mean
- Mean (μ)
- The center of the distribution, the average value
- Standard deviation (σ)
- A measure of how spread out the values are around the mean
- Standardizing
- Converting a value into its z-score with
- Unusual value
- A value more than 2 standard deviations from the mean, so
Formula Card
Z-score
How many standard deviations x is from the mean
Value from a z-score
Turn a z-score back into the original units
Unusual values
More than 2 standard deviations from the mean