The Percentile Rank of a score is the percentage of individuals with scores at or below the particular value.  This is equivalent to the cumulative relative frequency number, multiplied by 100.

 

A Percentile is the score identified by the given percentile rank.

 

Many values may not appear directly in a frequency distribution table, especially if we are using class intervals rather than individual scores.

 

Suppose we want to determine the percentile rank for such a score. Or the percentile for a given percentile rank.

 

It is possible to obtain estimates by using a process called interpolation. 

 

This process allows us to estimate intermediate values, if we assume that the change from one end of the scale to the other is a regular, linear change.

 


LOGICAL STEPS INVOLVED IN INTERPOLATION

 

1.      A single interval is measured on two separate scales.  The endpoints of the interval are known for each scale.

 

2.      You have an intermediate value on one of the scales, and need to find the corresponding intermediate value on the other.

 

 


ACTUAL STEPS INVOLVED IN INTERPOLATION

 

1.      Find the width of the interval on both scales.

 

2.      Locate the position of the intermediate value in the interval (it will be a fraction of the interval)

 

Fraction = distance from the top of the interval/ interval width

 

3.  Use the fraction to determine the distance from the top of the interval on the other scale.

     

      Distance = fraction x width

 

4. Use the distance from the top to determine the position on the other scale.