Converting to Percentiles and Back (1 of 4)
If the
mean and
standard deviation of
a
normal distribution are known, it is relatively
easy to figure out the
percentile rank of a person
obtaining a specific score. To be more concrete, assume a test in Introductory
Psychology is normally distributed with a mean of 80 and a standard deviation
of 5. What is the percentile rank of a person who received a score of 70 on
the test?
Mathematical statisticians have developed ways of determining the proportion
of a distribution that is below a given number of standard deviations from the
mean. They have shown that only 2.3% of the population will be less than or
equal to a score two standard deviations below the mean.
(click
here to see why 70 is two standard deviations below the mean.) In terms
of the Introductory Psychology test example, this means that a person scoring
70 would be in the 2.3rd percentile.
This graph shows the distribution of scores on the test. The shaded area is 2.3% of the total area. The proportion of the area below 70 is equal to the proportion of the scores below 70.