Interpreting Cumulative Frequency Diagrams (Cambridge (CIE) O Level Maths): Revision Note

Exam code: 4024

Roger B

Written by: Roger B

Reviewed by: Dan Finlay

Updated on

Interpreting cumulative frequency diagrams

How do I use and interpret a cumulative frequency diagram?

  • A cumulative frequency diagram provides a way to estimate key facts about the data

    • median 

    • lower and upper quartiles (and interquartile range)

    • percentiles

  • These values will be estimates as the original raw data is unknown

    • Cumulative frequency diagrams are used with grouped data 

    • Points are joined by a smooth curve

      • This means the data is assumed to be smoothly spread out over each interval

How do I find the median, lower quartile and upper quartile from a cumulative frequency diagram?

  • This is all about understanding how many data values are represented by the cumulative frequency diagram

    • This may be stated in words within the question

    • If not, it will be the highest value on the frequency (y-) axis that the curve on the diagram reaches

      • This should be "top right" of the curve on a cumulative frequency diagram

  • Finding the median:

    • STEP 1
      Find the position of the median, for n data values, this will be n2

      • This is different from finding the median from a set of data values

      • E.g. for a list of 60 data values the median would be halfway between the 30th and 31st values

      • But for a cumulative frequency diagram it would just be 602=30

    • STEP 2
      Draw a horizontal line from n2 on the cumulative frequency (y-) axis until it hits the curve

    • STEP 3
      Draw a vertical line from that point on the curve down to the horizontal (x-) axis

      • The value where that line hits the horizontal axis will be the median

  • Finding the lower quartile:

    • STEP 1
      Find the position of the lower quartile

      • For n data values this will be n4

    • STEP 2
      Draw a horizontal line from n4 on the cumulative frequency axis until it hits the curve

    • STEP 3
      Draw a vertical line from that point on the curve down to the horizontal (x-) axis

      • The value where that line hits the horizontal axis will be the lower quartile

  • Finding the upper quartile:

    • STEP 1
      Find the position of the upper quartile

      • For n data values this will be 3n4 (i.e.  3×n4)

    • STEP 2
      Draw a horizontal line from 3n4 on the cumulative frequency axis until it hits the curve

    • STEP 3
      Draw a vertical line from that point on the curve to the horizontal (x-) axis

      • The value where that line hits the horizontal axis will be the upper quartile

How do I find a percentile from a cumulative frequency diagram?

  • Percentiles split the data into 100 parts

    • The 50th percentile is another way of describing the median

    • The 25th and 75th percentiles are the same as the lower and upper quartiles (respectively)

  • To find the pth  percentile:

    • STEP 1
      Find the position of the pth percentile

      • For n data values, this will be np100 (i.e.  n100×p)

      • So for the 10th percentile (p=10) with 60 data values (n=60)

      • The position is 10100×60=110×60=6

    • STEP 2
      Draw a horizontal line from np100 on the cumulative frequency axis until it hits the curve

    • STEP 3
      Draw a vertical line from that point on the curve down to the horizontal (x-) axis

      • The value where that line hits the horizontal axis will be the pth percentile

Worked Example

A company is investigating the length of telephone calls customers make to its help centre.

The company randomly selects 100 phone calls from a particular day.

The results are displayed in the cumulative frequency diagram below.

Cumulative frequency diagram for the length of phone calls.

(a) Estimate the median, the lower quartile and the upper quartile.

Answer:

There are 100 pieces of data, so n=100

n2=1002=50n4=1004=253n4=3×25=75

So the median is the 50th value
The lower quartile is the 25th value
The upper quartile is the 75th value

Draw horizontal lines from these on the cumulative frequency axis until they hit the curve
Then draw vertical lines down to the time of calls axis and take readings

Cumulative frequency diagram for the length of phone calls with the lower quartile, median and upper quartile marked on.

Median = 6.2 minutes (6 m 12 s)
Lower quartile = 4.2 minutes (4 m 12 s)
Upper quartile = 8.2 minutes (8 m 12 s)

There is no need to convert to minutes and seconds unless the question asks you to
However, writing 6 m 2 s or 6 m 20 s would be incorrect
 

(b) The company is thinking of putting an upper limit of 12 minutes on calls to its help centre.

Estimate the number of these 100 calls that would have been beyond this limit.

Answer:

Draw a vertical line up from 12 minutes on the time of calls axis until it hits the curve
Then draw a horizontal line across to the cumulative frequency axis and take a reading (in this case, 90)

Cumulative frequency diagram for the length of phone calls with a vertical line from the x-axis at x=12 leading to a value on the y axis of y=90.

This tells us that up to 12 minutes, 90 of the calls had been accounted for

The question wants the number of calls that were greater than 12 minutes so subtract this from the total of 100

100 - 90 = 10

Approximately 10 (out of 100) calls were beyond the 12 minute limit

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Roger B

Author: Roger B

Expertise: Development Editor

Roger's teaching experience stretches all the way back to 1992, and in that time he has taught students at all levels between Year 7 and university undergraduate. Having conducted and published postgraduate research into the mathematical theory behind quantum computing, he is more than confident in dealing with mathematics at any level the exam boards might throw at you.

Dan Finlay

Reviewer: Dan Finlay

Expertise: Portfolio Lead

Dan graduated from the University of Oxford with a First class degree in mathematics. As well as teaching maths for over 8 years, Dan has marked a range of exams for Edexcel, tutored students and taught A Level Accounting. Dan has a keen interest in statistics and probability and their real-life applications.