Standardized Scores (College Board AP® Statistics): Study Guide
Syllabus Edition
First teaching 2026
First exams 2027
Standardized z-scores
What are z-scores?
A z-score for a data value tells you the number of standard deviations it is away from the mean
A positive z-score means the value is bigger than the mean
For example, a z-score of 2.5 means it is 2.5 standard deviations bigger than the mean
A negative z-score means the value is smaller than the mean
For example, a z-score of -1.2 means it is 1.2 standard deviations smaller than the mean
The z-score can be calculated using
is the population mean
is the population standard deviation
For example, suppose the mean is 50 and the standard deviation is 4
The z-score for 56 is
The z-score for 43 is
If the population mean and standard deviation are unknown, then the sample mean and standard deviation can be used
Worked Example
The standardized score (-score) for Lisa's math test percentage, as compared to the math test results for other children of her age nationwide, is -0.2. Which of the following is the best interpretation of this standardized score?
(A) Lisa's math test percentage is 20%.
(B) Lisa's math test percentage is 0.2 standard deviations below the average math test result for other children her age nationwide.
(C) Lisa's math test percentage is 20% below the average math test result for other children her age nationwide.
(D) Only 0.2% of children Lisa's age have a lower math test percentage than she does.
Answer:
A -score measures how many standard deviations the value of
is away from the mean
This means that -0.2 is 0.2 standard deviations below the mean
The correct answer is B
How can z-scores be used to compare data?
You can use z-scores to compare relative positions of values between distributions
The data value with a z-score closer to zero is the one that is relatively closer to the mean
The data value with a z-score further away from zero is the one that is relatively more extreme
Examiner Tips and Tricks
Be sure to talk about the relative position rather than the actual position.
Consider a distribution with a mean of 100 and a standard deviation of 10. The value 110 has a z-score of 1.
Consider a second distribution with a mean of 50 and a standard deviation of 5. The value 56 has a z-score of 1.2.
The data value in the first distribution is relatively closer to the mean. However, the data value in the second distribution is actually closer to the mean.
Worked Example
Sarah recently participated in two statewide academic assessments: a Mathematics exam and a History exam.
The distribution of the scores on the Mathematics exam is approximately symmetrical with a mean of 120 points and a standard deviation of 15 points. Sarah scored a 144 on the Mathematics exam.
The distribution of the scores on the History exam is approximately symmetrical with a mean of 75 points and a standard deviation of 8 points. Sarah scored an 89 on the History exam.
(a) Calculate the standardized score (z-score) for Sarah’s performance on the Mathematics exam. Interpret this value in context.
(b) Relative to the other students who took the exams, on which exam did Sarah perform better? Justify your answer using standardized scores.
Answer:
(a)
Use the formula
z-score for Mathematics is 1.6
Interpret the score using the definition of a z-score
Sarah’s score on the Mathematics exam is 1.6 standard deviations above the mean score of all students who took the Mathematics exam
(b)
Calculate the z-score for History
Justify the use of using z-scores
The scores for both exams are measured on different scales with different means and standard deviations
Therefore, z-scores provide the best way to compare her relative standing
Compare the z-scores
Sarah performed better on the History exam relative to her peers because her z-score for History (1.75) is greater than her z-score for Mathematics (1.6)
This means her History score was further above the average in terms of standard deviations
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