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Probability and distributions / LESSON 18

Move between percentiles and measurements · AP Statistics

10 min + practice · Original foundation lesson

Move between normal-model areas and original measurements without confusing a z score with a probability. A percentile describes cumulative area below a cutoff. The cutoff has measurement units; a z score expresses its distance from the mean in standard-deviation units.

Build the method

State the population model before using normal areas. A normal-looking histogram is evidence to assess, not proof of exact normality. For continuous models, including or excluding a single endpoint does not change interval probability because a point has zero area.

Worked example

With mean 41 and SD 4, a supplied percentile boundary z=1.5 corresponds to 41+1.5(4)=47. Standardizing 47 returns 1.5. Subtracting the mean from the supplied z value would mix a unitless position with an original measurement.

Compare the alternatives

If a lower-tail area is 0.81, the upper-tail area is 0.19. If cumulative areas at two boundaries are 0.11 and 0.81, the middle area is 0.70. These calculations use complements and subtraction; they do not require memorizing a separate rule for every shaded region.

Avoid a specific trap

A distribution of individual waits and a distribution of average waits are different objects. For independent observations with suitable finite moments, larger samples make the standardized mean approximately normal. Strong skewness may require more observations; thirty is not a mathematical guarantee for every population.

Transfer check with explanation

Transfer: changing minutes to seconds multiplies both the mean and SD by sixty. The same percentile boundary in seconds is sixty times the boundary in minutes, while its z score and probability remain unchanged. Explain that both the distance and the SD scale together.

WORKED EXAMPLE

A normal measurement has mean 41 and SD 4. A percentile has standard-normal boundary z=1.5 (supplied). What measurement marks that percentile?

  1. Undo standardization: a z score counts standard deviations from the mean.
  2. 41+1.5×4=47 in the original units.
  3. Why an alternative fails: Apply the standardization formula to z as if z were an original measurement.
Answer: 47
Compare the other answer choices
35

Move below the mean despite the positive supplied z boundary.

-79/8

Apply the standardization formula to z as if z were an original measurement.

85/2

Add the unitless z score without rescaling by the measurement SD.

Try it, then explain it.

Complete a short set without looking at the example. After each answer, explain which operation preserved the relationship and why the result makes sense.

Practice this skill

Sources & authorship

Original Slope explanations and examples. References support the concepts; they are not the source of copied questions. Independent educator review is pending.

AP Statistics Course and Exam Description, effective Fall 2026