Lesson 3&4

Class:SS2 & SS3

Subject: Mathematics

Topic: Cumulative Frequency Graph (Ogive)

It has been stated earlier in our previous lesson that the sum of all frequencies from the first class to a particular class is referred to as the cumulative frequency of that class. The graph of cumulative frequency distribution is a cumulative frequency curve which is also called the ogive.

The cumulative frequency graph has an elongated S – shape curve. It is obtained by plotting cumulative frequency on the y-axis against the corresponding upper class boundary on x-axis.

The cumulative frequency curve ( ogive) can be used to find the median, quartile, percentiles, deciles and interquartile range etc.

Determination of median, quartiLEs, deciles and percentiles from cumulative frequency graph.

  1. 1. Median: This is the score that corresponds to the middle score half way up the cumulative frequency axis. It is also called the second quartile Q2. It is given by 1/2*N score on the cumulative frequency axis, where N is the total frequency.

The median can be determined as follows:

  1. Determine half of the total frequency. That is 1/2*N
  2. Locate this point on the cumulative frequency axis on the graph.
  3. Through this located point on the cumulative frequency axis, draw a line parallel to the x-axis to meet the curve.
  4. From this point of intersection, draw a perpendicular line to the x- axis.
  5. Locate and determine the value of the point at which this vertical line meets the x- axis. This gives the median.

 2.Quartile: The quartile is an average that divides the whole distribution (data) into four equal parts namely:

 First or lower quartile (Q1): Is one- quarter up the cumulative frequency axis of the graph. Assuming the total frequency of a given distribution is N, then the lower quartile Q1 is given by 1/4*N score.

 The lower quartile is determine from cumulative frequency graph as follows:

  1. Determine one-quarter of the total frequency. That is 1/4*N

 Repeat steps b to e as in (1) above to obtain the lower quartile.

 

upper quartile (Q3) is the third quartile of the distribution. As the name implies, it is three- quarter up the cumulative frequency axis of the graph. The upper quartile Q3 is given by 3/4*N score on the graph. The upper quartile is obtained from cumulative frequency graph as follows:

  1. Determine three-quarter of the total frequency. That is 3/4*N

Repeat steps b to e as in (1) above to obtain the upper quartile Q3.

 Interquartile range is the difference between the upper quartile and lower quartile values written as Q= Q3 – Q1.

semi-Interquartile range is the Interquartile range divided by two. That is

 (Q3 -Q1)/2.

  1. 3. Decile: Decile divides the data into ten equal parts. For instance, the 7th decile is 7/10*N. It is obtained from cumulative frequency graph as follows:
  2. Determine 7/10*N on cumulative frequency axis

Repeat steps b to e as in (1) above to obtain the 7th decile.

  1. 4. Percentile: Just like the quartile and decile, the percentile divides the data into hundred equal parts. For instance, the 30th percentile is 30/100*N. It is obtained from cumulative frequency graph as follows:
  2. Determine 30/100*N on cumulative frequency axis

Repeat steps b to e as in (1) above to obtain the 30th percentile

Example 1: The following shows the distribution of scores obtained by SS2 students in mathematics mock exam.

Class interval  21-30 31-40 41-50 51-60 61-70 71-80 81-90 90-100
Frequency 2 6 7 10 11 9 4 1
  1. Construct a cumulative frequency table for the distribution.
  2. Draw a cumulative frequency curve for the distribution.
  3. From your graph, estimate the:
  4. median
  5. interquartile range

iii. pass mark, if 70% of the students passed.

 

 

 

 

 

.                       Solution

a.

Class interval Frequency Class boundary Cumulative frequency
21-30 2 20.5-30.5 2
31-40 6 30.5-40.5 8
41-50 7 40.5-50.5 15
51-60 10 50.5-60.5 25
61-70 11 60.5-70.5 36
71-80 9 70.5-80.5 45
81-90 4 80.5-90.5 49
91-100 1 90.5-100.5 50

 

 

 

  1. ci. 

Given N=50,

 Recall that, median= 1/2*N. That is 1/2*50=25        

From the graph, the median =63  (That is 25 on the Y-axis corresponds to 63 on the x-axis on the graph)

 

       cii.

 Q3 =3/4*N, That is 3/4*50=37.5

From the graph, Q3=73

   Q1 =1/4*N, That is 1/4*50=12.5

From the graph, Q1=48.  

Hence the interquartile range(Q) =Q3-Q1

     Q=75-48

      =25

 

       ciii.

 If 70% of the students passed the exam, it means 30% failed. We therefore, need to find only 30th percentile on the cumulative frequency graph; above this point we have the 70% needed. That is

30th percentile (P30) =30/100*N

P30=30/100*50=15

From the graph, P30=50.5

Therefore the pass mark is 50.5

 

                       Assignment

 

The table below shows the frequency distribution of marks scored by 120 students in Mathematics test.

Marks% 10-19 20-29 30-39 40-49 50-59 60-69 70-79 80-89
Frequency 23 19 6 25 15 11 12 9
  1. Prepare a cumulative frequency table and use it to draw the ogive for the data.
  2. Use your graph to estimate the:
  3. lower quartile
  4. 70th percentile
  5. Find the pass mark if 35 candidates passed the exam. (Hint: Get the pass mark from the y-axis)

 

DOWNLOAD DOCUMENT HERE:  SS2 Mathematics (lesson 3&4)

 

 

N/B: Always refers to your Mathematics textbooks for further studies.

Submit the assignment on the 12th June, 2020 via whatsApp @07035773326 or in hardcopy at the security post in the school.

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