● Z = (x - µ)/σ
○ x = A number
○ µ = Mean
○ σ = Standard Deviation
● The distribution must be normal or approximately normal in order to use Z-scores (n ≥ 30 or both np ≥ 10 and nq ≥ 10)
● To find the probability of a number or more extreme occurring, convert to a Z-score.
● Use the AP Statistics formula sheets to find the probability of a Z-score or less occurring.
○ P(Z < Z0)
● To find the probability of a Z-score or greater occurring, subtract the probability of that Z-score or less occurring from one
○ P(Z > Z0) = 1 - P(Z < Z0)
● To find the probability of in between two Z-scores, subtract the probability of the smaller
Z-score or less occurring from the probability of the larger Z-score or less occurring
○ P(Z0 < Z < Z1) = P(Z < Z1) - P(Z < Z0)
● “Standard deviation is a measurement of variability from the theoretical population. Standard error is the estimate of the standard deviation. If the standard deviation of the statistic is assumed to be known, then the standard deviation should be used instead of the standard error”