STANDARD DEVIATION (SD)
If the Mean (average) Score on STEP 3 was recently 222 and Your Score is 238, the “Deviation/Difference” from the mean for your score is 16 points (238 - 222 = 16).
You know the following information:
Your score of 238 is 16 points above the mean. Here, one SD above the mean indicates that your score is better than 84% (50% + 34% = 84%) of test takers.

STANDARD DEVIATION (SD)
EXAMPLE: Say the Mean Score for STEP 2 is 240 and the Standard Deviation (SD) for STEP 2 is 18 points:
You know the following information:
We know one SD above the average means doing Better Than 86% of other test takers (Mean + 1SD), and on SD below the average means doing Better Than 16% of other test takers (Mean - 1SD):

STANDARD DEVIATION (SD)
Sample Problem:40,000 students take USMLE Step 3 each year. The mean score is 222 with an SD of 16. How many students scored above 254?
(A) 10,000
(B) 6,400
(C) 1,000
(D) 600
(E) Cannot be calculated from the data given.
You know the following information:
Doing the math:
a score of 254 on USMLE Step 3 is Two SDs above the Mean Score of 222 (222 + 16 + 16 = 254). This is equal to the Top 2.5% (0.025).
If 40,000 students = 100% of students then X students = 2.5% (top 2.5% of students)
Doing the math:
X = (40,000)(2.5%)
X = 1,000 students

STANDARD DEVIATION (SD)
Explain the attached graphic using the Central Limit Theorem

Graphical representation of the effect of SD on how data is grouped around the mean:
