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[82] 011-26925013/14+91-9811134008+91-9582231489
NTSE, NSO Diploma, XI Entrance StatisticsCLASS - X
Mathematics
CHAPTER
6We are Starting from a Point but want to Make it a Circle of Infinite Radius
Statistics
ARITHMETIC MEAN OF GROUPED DATA
In order to make life easy and save time and energy following methods are adopted for calculation
purposes.
(i) Direct Method
(ii) Assumed mean deviation method
(iii) Step deviation method.
1. Mean of Grouped Data
(i) Direct Method : i
ii
f
xfx
)(
Where xi are the varities (class marks) and fi their corresponding frequencies.
(ii) Assumed Mean Method :
i
ii
f
dfax
)(
Where a is the assumed mean, di = xi – a, xi are the varieties (class marks) and fi their
corresponding frequencies.
(iii) Step Deviation Method : hf
ufax
i
ii
)'(
Where a is the assumed mean, xi are the class marks, fi are the corresponding frequencies,
h
axu i , and h is the width of the class with the assumption that the frequency of a class is
centered at its mid point called its class mark.
Direct Method: Ex 1.1
Example 1 : The marks obtained by 30 students of Class X of a certain school in a Mathematics paper
consisting of 100 marks are presented in table below. Find the mean of the marks obtained by the students.
Marks obtained (xi) 10 20 36 40 50 56 60 70 72 80 88 92 95
Number of student (f i) 1 1 3 4 3 2 4 4 1 1 2 3 1
Solution:
Marks obtained (xi) Number of student
(f i) iixf
10
20
36
40
50
56
1
1
3
4
3
2
10
20
108
160
150
112
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NTSE, NSO Diploma, XI Entrance StatisticsCLASS - X
Mathematics
60
70
72
80
88
92
95
4
4
1
1
2
3
1
240
280
72
80
176
276
95
Total if = 30 ii
xf = 1779
3.5930
1779
i
ii
f
xfx
Therefore, the mean marks obtained is 59.3.
Example 2: Marks (xi) Number of students ( if )
17.5
32.5
47.5
62.5
77.5
92.5
2
3
7
6
6
6
Find the mean marks
Solution: Class mark (xi) Number of students ( if ) f ixi
17.5
32.5
47.5
62.5
77.5
92.5
2
3
7
6
6
6
35.0
97.5
332.5
375.0
465.0
555.0
fi = 30 fixi = 1860.0
6230
0.1860
i
ii
f
xf
x
Assumed Mean Method:
Example 3: Marks (xi) Number of students ( if )
17.5
32.5
47.5
62.5
77.5
92.5
2
3
7
6
6
6
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NTSE, NSO Diploma, XI Entrance StatisticsCLASS - X
Mathematics
Find the mean marks
Marks (xi) Number of students
( if ) di = xi – a = xi – 47.5
fdi
17.5
32.5
47.5
62.5
77.5
92.5
2
3
7
6
6
6
-30
-15
0
15
30
45
-60
-45
0
90
180
270
fi = 30 fidi = 435
x = a +
i
ii
f
df
x = 47.5 + 30
435 = 47.5 + 14.5 = 62.
Therefore, the mean of the marks obtained by the students is 62.
Step Deviation Method or Shortcut Method :
Example 4: xi (fi)
20
30
40
50
60
70
80
6
11
7
4
4
2
1
Find Mean
Solution:
xi fi di = xi – 50 Ui = 10
50ix
fi ui
20
30
40
50 = a
60
70
80
6
11
7
4
4
2
1
-30
-20
-10
0
10
20
30
-3
-2
-1
0
1
2
3
-18
-18
-22
-7
0
4
3
35 -36
Question based on mean of ungrouped Data
1. Calculate the mean for the following distribution using direct method .
Variable 5 6 7 8 9
Frequency 4 8 14 11 3
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NTSE, NSO Diploma, XI Entrance StatisticsCLASS - X
Mathematics
2.
Marks obtained (xi) 15 5 14 10 16
No. of students (fi) 4 8 14 11 3
3. The following table represents the weight (in kg) of 60 workers in a factory. Find the
mean weight of each worker using assumed mean method.
Weight (kg) 60 61 62 63 64 65
No. of workers 5 8 14 16 10 7
4. The following table represents the wages of 50 workers in a factory. Find the mean
wages of the worker using step deviation method.
Wages (in Rs.) 1450 1475 1500 1525 1550
No. of worker 12 13 7 10 8
5. The number of students absent in a section of class X were recorded everyday for 100
days and the information is given in the following frequency table. Find the mean.
No. of students absent 0 5 10 15 20 25
No. of days 10 20 25 15 20 10
GROUPED FREQUENCY DISTRIBUTION
Sometimes the data is so large that it is inconvenient to list every item in the frequency distribution table. Then we
group the items into convenient intervals and the data is presented in a frequency distribution in which each class
interval contains five or ten values of the variate generally. The mid value of each class is the representative of
each item falling in that interval.
Here individual values lose their identity. If we assume that all values falling in a class interval are equal to
the middle value of this class interval. This middle value is called mid-value, mid-point or class mark.
Class mark =
Example 1: Find Mean
Class interval 10−25 25−40 40−55 55−70 70−85 85−100
Number of students 2 3 7 6 6 6
By Direct Method
Class interval Number of students
Class mark
(𝓍 ₁)
10−25 2 17.5 35.0
25.40 3 32.5 97.5
40−55 7 47.5 332.5
55−70 6 62.5 375.0
70−85 6 77.5 465.0
85−100 6 92.5 555.0
Total
The sum of the values in the last column gives us So, the mean of the given data is
given by. =
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NTSE, NSO Diploma, XI Entrance StatisticsCLASS - X
Mathematics
Example 2: Find Mean
Class interval 10−25 25−40 40−55 55−70 70−85 85−100
Number of Students 2 3 7 6 6 6
By Assumed Mean Method
Class Interval Number of
students (f₁) Class mark
(𝓍₁ )
10−25
25−40
40−55
55−70
70−85
85−100
2
3
7
6
6
6
17.5
32.2
47.5
62.5
77.5
92.5
−30
−15
0
15
30
45
−60
−45
0
90
180
270
Total
Example 3: Find Mean
Class interval 10−25 25−40 40−55 55−70 70−85 85−100
Number of students 2 3 7 6 6 6
By Step deviation Method\
Class interval
10−25
25−40
40−55
55−70
70 – 85
85 – 100
2
3
7
6
6
6
17.5
32.5
47.5
62.5
77.5
92.5
−30
−15
0
15
30
45
−2
−1
0
1
2
3
−4
−3
0
6
12
18
Total
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NTSE, NSO Diploma, XI Entrance StatisticsCLASS - X
Mathematics
Example 4: The table below gives the percentage distribution of female teacher in the
primary schools of rural areas of various states and union (U.T) of India. Find the mean
percentage of female teachers by all the three methods discussed in this section.
Percentage of Female teachers 15−25 25−35 35−45 45−55 55−65 65−75 75−85
Number of State/U.T. 6 11 7 4 4 2 1
Percentage of
teachers
Number of State/U.T.
15−25
25−35
35−45
45−55
55−65
65−75
75−85
6
11
7
4
4
2
1
20
30
40
50
60
70
80
−30
−20
−10
0
10
20
30
−3
−2
−1
0
1
2
3
120
330
280
200
240
140
80
−180
−220
−70
0
40
40
30
−18
−22
−7
0
4
4
3
Total 35 1390 −360 −36
From the table above, we obtain
Using the direct method,
Using the assumed mean method,
Using the assumed mean method,
Using the step−deviation method,
Example 5 : The distribution below shows the number of wickets taken by bowlers in
one−day cricket matches. Find the mean number of wickets by choosing a suitable
method. What does the mean signify?
Number of wickets 20−60 60−100 100−150 150−250 250−350 350−450
Number of bowlers 7 5 16 12 2 3
Solution : Here, the class size varies, and the are large. Let us still apply the step
deviation method with a = 200 and h = 20. Then, we obtain the data as in Table.
Number of
wickets
taken
Number of
bowlers (
20−60
60−100
100−150
150−250
250 – 350
350−450
7
5
16
12
2
3
40
80
125
200
300
400
−160
−120
−75
0
100
200
−8
−6
−3.75
0
5
10
−56
−30
−60
0
10
30
Total 45 −106
Therefore,
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NTSE, NSO Diploma, XI Entrance StatisticsCLASS - X
Mathematics
Question based on mean
Direct Methods
1. A survey was conducted by a group of students as a part of their environment awareness programme, in
which they collected the following data regarding the number of plants in 20 houses in a locality. Find the
mean number of plants per house.
No. of Plants 0 – 2 2 – 4 4 – 6 6 – 8 8 – 10 10 – 12 12 – 14
Number of houses 1 2 1 5 6 2 3
Which method did you use for finding the mean, and why?
2. To find out the concentration of SO2 in the air (in parts per million, i.e., ppm), the data was collected for 30
localities in a certain city and is presented below:
Concentration of SO2 (in ppm) Frequency
0.00 - 0.04
0.04 - 0.08
0.08 - 0.12
0.12 - 0.16
0.16 - 0.20
0.20 - 0.24
4
9
9
2
4
2
Find the mean concentration of SO2 in the air.
3. A class teacher has the following absentee record of 40 students of a class for the whole term. Find the
mean number of days a student was absent.
Number of days 0 – 6 6 – 10 10 – 14 14 – 20 20 – 28 28 – 38 38 – 40
Number of students 11 10 7 4 4 3 1
4. The following table gives the literacy rate (in percentage) of 35 cities. Find the mean literacy rate.
Literacy rate (in %) 45 – 55 55 – 65 65 – 75 75 – 85 85 – 95
Number of cities 3 10 11 8 3
Assumed Mean Method
5. Consider the following distribution of daily wages of 50 workers of a factory.
Daily wages (in Rs.) 100 – 120 120 – 140 140 – 160 160 – 180 180 – 200
Number of Workers 12 14 8 6 10
Find the mean daily wages of the workers of the factory by using an appropriate method.
6. Find the mean of the following data:
Class interval 0 – 10 10 – 20 20 – 30 30 – 40 40 – 50
Frequency 12 16 6 7 9
7. Thirty women were examined in a hospital by a doctor and the number of heart beats per minute were
recorded and summarized as follows. Find the mean heart beats per minute for these women, choosing a
suitable method.
No. of heart beats per
minutes
65 – 68 68 – 71 71 – 74 74 – 77 77 – 80 80 – 83 83 – 86
Number of Women 2 4 3 8 7 4 2
8. The table below shows the daily expenditure on food of 25 households in a locality.
Daily Expenditure (in Rs.) 100 – 150 150 – 200 200 – 250 250 – 300 300 – 350
Number of households 4 5 12 2 2
Find the mean daily expenditure on food by a suitable method.
9. The following table shows the age distribution of cases of a certain disease reported during a year in a particular
city.
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NTSE, NSO Diploma, XI Entrance StatisticsCLASS - X
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Age (in years) No of cases
5 – 14
15 – 24
25 – 34
35 – 44
45 – 54
55 – 64
6
11
21
23
14
5
Total 80
Find the average (in years) per case reported.
10. Calculate the Arithmetic mean of the following frequency distribution:
Class interval Frequency
0 – 20
20 – 40
40 – 60
60 – 80
80 – 100
100 – 120
20
35
52
44
38
31
11. In a retail market, fruit vendors were selling mangoes kept in packing boxes. These boxes contained varying
number of mangoes. The following was the distribution of mangoes according to the number of boxes.
No. of mangoes 50 – 52 53 – 55 56 – 58 59 – 61 62 – 64
Number of boxes 15 110 135 115 25
Find the mean number of mangoes kept in a packing box. Which method of finding the mean did you
choose?
12. Find the mean of the following data by assumed mean method
Class-interval Frequency
150 – 200
200 – 250
250 – 300
300 – 350
350 – 400
14
26
17
23
20
Missing frequency:
13. The arithmetic mean of the following data is 11. Find the value of p.
x1 5 8 11 14 17
f1 2 4 8 P 2
14. If the mean of the following data is 18, find the missing frequency p:
X 10 15 20 25
F 5 10 P 8
15. The following distribution shows the daily pocket allowance of children of a locality. The mean pocket
allowance is Rs 18. Find the missing frequency f.
Daily pocket allowance
(in Rs.)
11 – 13 13 – 15 15 – 17 17 – 19 19 – 21 21 – 23 23 – 25
Number of children 7 6 9 13 F 5 4
16. The mean of the following distribution is 132 and sum of observation is 50. Find the values of x and y.
Class 0 – 40 40 – 80 80 – 120 120 – 160 160 – 200 200 – 240
Frequency 4 7 x 12 Y 9
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17. The mean of the following data is 46.2. Find the missing frequencies f1 and f2.
Classes 20 – 30 30 – 40 40 – 50 50 – 60 60 – 70 70 – 80 Total
Frequencies 6 f1 16 13 f2 2 50
MODE :
Mode is the size of the variable which occurs most frequently. In discrete or ungrouped case, the mode is
the variate having maximum frequency.
For Example ,In the series 6,5,3,4,3,7,8,5,9,5,4, we notice that 5 occurs most frequently therefore 5 is the
mode.
TYPES OF MODAL SERIES
(i) Unimodal series. The series which contains one mode.
(ii) Bimodal series. The series which contains two modes.
(iii) Trimodal series. The series which contains three modes.
MERITS OF MODE
(i) Mode is readily comprehensively and easy to calculate. It can be located in some case morely by
inspection.
(ii) Mode is not at all affected by extreme values.
(iii) Mode can be conveniently even class interval of unequal magnitude.
DEMERITS OF MODE
(i) Mode is ill-defined. In some cases we may come across two modes.
(ii) It is not based upon all the observations.
(iii) No further mathematical treatment is possible in case of mode.
(iv) Mode is affected to a greater extant by fluctuations of sampling.
USES OF MODE
Mode is used to find the ideal size e.g., Readymade garments, shoes etc.
WORKING RULE TO FIND MODE
Step 1. Find out the maximum frequency (f0) from the given table. Class of this maximum frequency is
the modal class.
Step 2. Find the lower limit (l) of the modal class.
Step 3. Write down the preceding frequency (f1) and succeeding frequency (f2) of modal class
frequency.
Step 4. Write down the width (h) of modal class.
Step 5. Apply the following formula to find out the mode :
Mode = l + h
201
01
2 fff
ff
Example 1 :A survey conducted on 20 households in a locality by a group of students resulted in the
following frequency table for the number of family members in a household:
Family size 1-3 3-5 5-7 7-9 9-11
Number of
families
7 8 2 2 1
Find the mode of this data.
Solution: Here the maximum class frequency is 8, and the class corresponding to this frequency is 3 –
5. So, the modal class is 3-5.
Now
Modal class = 3 – 5, lower limit (l) of modal class = 3, class size (h) = 2
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NTSE, NSO Diploma, XI Entrance StatisticsCLASS - X
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Frequency (f)0 of class preceding the modal class = 7,
Frequency (f1) of the modal class = 8,
Frequency (f2) of class succeeding the modal class = 2,
Now, let us substitute these values is the formula.
Mode = l 1 0
1 0 2
f fh
2f f f
= 8 7 2
3 2 3 3.2862 8 7 2 7
Therefore, the mode of the data above is 3.286.
Example 2 :
The marks distribution of 30 students in a mathematics examination are given below.
Class Interval Number of students (fi)
10-25 2
25-40 3
40-55 7
55-70 6
7-85 6
85-100 6
Total 1f 30
Find the mode of this data.
Solution: Refer to Table 14.3 of Example 1. Since the maximum number of students (i.e., 7) have got
marks in the interval 4 – 55, the modal class is 40 – 55. Therefore,
The lower limit (l) of the modal class = 40,
The class size (h) = 15,
The frequency (f0) of the class preceding the modal class = 3,
The frequency (f1) of modal class = 7,
The frequency (f2) of the class succeeding the modal class = 6,
Now, using the formula:
1 0
1 0 2
f fMode l h
2f f f
,
We get 7 3
Mode 40 15 5214 6 3
So, the mode marks is 52.
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NTSE, NSO Diploma, XI Entrance StatisticsCLASS - X
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Example 3 : The following distribution gives the state-wise teacher-student ratio in higher secondary
schools of India. Find the mode and mean of this data. Interpret the two measures.
Number of students per teacher Number of states/U.T.
15-20 3
20-25 8
25-30 9
30-35 10
35-40 3
40-45 0
45-50 0
50-55 2 Solution: Mode: Since greatest frequency 10 corresponds to class 30-35.
Modal class = 30–35
And h = 5, l = 30, f1 = 10, f0 = 9, f2 = 3
Mode: l + 1 0
1 0 2
f f 10 9h 30 5
2f f f 20 9 3
15 300 0.625 30.6(approx.)
830
Mean:
Let the assumed mean, a = 37.5 and class size, h = 5
We have the following table:
Number of students
per teacher
Class
mark(xi)
Frequency
(fi) i
i
x 37.5
5u
(fiui)
15-20 17.5 3 17.5 37.5 20
45 5
3 × (-4) = –12
20-25 22.5 8 22.5 37.5 15
32 5
8 × (-3) = –24
25-30 27.5 9 27.5 37.5 10
22 5
9 × (-2) = –18
30-35 32.5 10 32.5 37.5 5
12 5
10 × (–1) = –
10
35-40 37.5 3 37.5 37.5 0
02 5
3 × 0 = 0
40-45 42.5 0 42.5 37.5 5
12 5
0 × 1 = 0
45-50 47.5 0 47.5 37.5 10
22 5
0 × 2 = 0
50-55 52.5 2 52.5 37.5 15
32 5
2 × 3 = 6
Total i 35f iiu 58f
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NTSE, NSO Diploma, XI Entrance StatisticsCLASS - X
Mathematics
i i
i
f u 5837.5 8.3 29.2
f 35x a h 37.5 5
Interpretation.
The maximum teacher-student ratio is 30.6 while average teacher-student ratio is 29.
Question based on Mode.
1. The wickets taken by a bowler in 10 cricket matches are as follows:
2 6 4 5 0 2 1 3 2 3
Find the mode of the data.
2. The following table shows the ages of the patients admitted in a hospital during a year:
Age (in years) 5 – 15 15 – 25 25 – 35 35 – 45 45 – 55 55 – 65
Number of patients 6 11 21 23 14 5
Find the mode and the mean of the data given above. Compare and interpret the two measures of central
tendency.
3. The following data gives the information on the observed lifetimes (in hours) of 225 electrical components:
Life time (in hours) 0 – 20 20 – 40 40 – 60 60 – 80 80 – 100 100 – 120
Frequency 10 35 52 61 38 29
Determine the modal lifetimes of the components.
4. The following data gives the distribution of total monthly household expenditure of 200 families of a
village. Find the modal monthly expenditure of the families. Also, find the mean monthly expenditure :
Expenditure (in Rs.) Number of families
1000 – 1500
1500 - 2000
2000 - 2500
2500 - 3000
3000 - 3500
3500 - 4000
4000 - 4500
4500 – 5000
24
40
33
28
30
22
16
7
5. The given distribution shows the number of runs scored by some top batsmen of the world in one-day
international cricket matches.
Runs Scored Number of batsman
3000 - 4000
4000 - 5000
5000 - 6000
6000 - 7000
7000 - 8000
8000 - 9000
9000 - 10000
10000 - 11000
4
18
9
7
6
3
1
1
Find the mode of the data.
6. A student noted the number of cars passing through a spot on a road for 100 periods each of 3 minutes and
summarized it in the table given below. Find the mode of the data
Number of cars 0 – 10 10 – 20 20 – 30 30 – 40 40 – 50 50 – 60 60 – 70 70 – 80
Frequency 7 14 13 12 20 11 15 8
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MEDIAN
Median is defined as the measure of central term when they are arranged in ascending or descending order
of magnitude. When the total number of terms is odd and equal to say n then the value of )( 12
1n th term
give the median. When the total number of terms is even, say n, then there are two middle terms and so the
mean of the values of 2
1nth and
1
2
nth term is the median.
(i) Median = Value of
2
1nth term, if n is odd.
(ii) Median = Value of ,
termth
ntermth
n1
222
1 if n is even.
MERITS OF MEDIAN
(i) It is rigidly defined
(ii) It is easily understood and easy to calculate.
(iii) It is not at all affected by extreme values.
(iv) It can be located graphically.
(v) It can be determined even by inspection in some cases.
(vi) It can be located if the class interval be unequal.
DEMERITS OF MEDIAN
(i) In case of even number of observations median can not be determined exactly.
(ii) It is not based on all the observations.
(iii) It is not subject to algebraic treatment.
(iv) It is much affected by fluctuations of sampling.
USES OF MEDIAN
(i) Median is the only average to be used while dealing with qualitative data which can not be measured
quantitively but can be arranged in ascending or descending order of magnitude.
(ii) It is used for determining the typical value in problems concerning wages; distribution of wealth etc.
MEDIAN OF GROUPED FREQUENCY DISTRIBUTION
In order to find the median first we have to find out 2
Nthen the class in which
2
N lies. This class will be
called the median class. Median lies in this class. Median can be calculated by the following formula.
Median = hf
CN
l
2
where, l = lower limit of median class interval
C = cumulative frequency preceding to the median class frequency.
F = frequency of the class interval to which median belongs.
H = width of the class interval.
N = f1 + f2 + f3 + ….. + fn.
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NTSE, NSO Diploma, XI Entrance StatisticsCLASS - X
Mathematics
Example 1 : A survey regarding the heights (in cm) of 51 girls of Class X of a school was conducted
and the following data was obtained:
Height (in cm) Number of girls
Less than 140 4
Less than 145 11
Less than 150 29
Less than 155 40
Less than 160 46
Less than 165 51
Find the median height.
Solution: To calculate the medina height, we need to find the class intervals and their corresponding
frequencies.
So, our frequency distribution table with the given cumulative frequencies becomes:
Class intervals Frequency Cumulative
frequency
Below 140 4 4
140 – 145 7 11
145 – 150 18 29
150 – 155 11 40
155 – 160 6 46
160 – 165 5 51
Now n = 51. So, n 51
25.52 2 . This observation lies in the class 145 150. Then,
L (the lower limit) = 145,
cf (the cumulative frequency of the class preceding 145 – 150) = 11,
f (the frequency of the median class 145 – 150) = 18,
h (the class size) = 5.
Using the formula, Median = l
ncf
2 h, we havef
Median = 25.5 11
145 518
== 72.5
145 149.0318
So, the median height of the girls is 149.03cm.
This means that the height of about 50% of the girls is less than this height, and 50% are teller than
this height.
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Example 2 : The median of the following data is 525. Find the values of x and y, if the total
frequency is 100.
Solution:
Class intervals Frequency Cumulative
frequency
0-100 2 2
100-200 5 7
200-300 x 7 + x
300-400 12 19 + x
400-500 17 36 + x
500-600 20 56 + x
600-700 y 56 + x + y
700-800 9 65 + x + y
800-900 7 72 + x + 7
900-1000 4 76 + x + y
It is given that n = 100
So, 76 + x + y = 100, i.e., x + y = 24
The median is 525, which lies in the class 500 – 600
So, l = 500, f = 20, cf = 36 + x, h = 100
Using the formula:
ncf
2Median l h, we getf
\
50 36 x
525 500 10020
525 – 500 = (14 – x) 5
i.e., 25 = 70 – 5x
i.e., 5x = 70 – 25 = 45
i.e., x = 9
Therefore, from (1), we get 9 + y = 24
y = 15
Example 3 : 100 surnames were randomly picked up from a local telephone directory and the
frequency distribution of the number of letters in the English alphabets in the surnames was obtained
as follows:
Number of
letters
1-4 4-7 7-1 10-13 13-16 16-19
Number of
surnames
6 30 40 16 4 4
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Determine the median number of letters in the surnames. Find the mean number of letters in the
surnames? Also, find the modal size of the surnames.
Solution: The cumulative frequency distribution table is as follows:
Number of letters Frequency (f) Cumulative frequencies
1-4 6 6 + 0 = 6
4-7 30 6 + 30 = 36
7-10 40 40 + 36 = 76
10-13 16 16 + 76 = 92
13-16 4 4 + 92 = 96
16-19 4 4 + 96 = 100
Total fi 100 n = 100
n 100n 100 50
2 2 Since, the cumulative frequency just greater than 50 is 76.
The class 7-10 is the median class,
We have n
50, 7,cf 36,f 40 and h 32 l and
ncf
50 362 h 7 3f 40
Median l
14 423 7 7 1.05 8.05 Mean :
40 407
Class intervals Class Marks (x) Frequency (fi) (fixi)
1-4 2.5 6 6 × 2.5 = 15
4-7 5.5 30 30 × 5.5 = 165
7-10 8.5 40 40 × 8.5 = 340
10-13 11.5 16 16 × 11.5 = 184
13-16 14.5 4 4 × 14.5 = 58
16-19 17.5 4 4 × 17.5 = 70
Total i 100f i ix 832f
i if x 8328.32
fi 100Mean : x
Mode:
Since the class 7-10 has the maximum frequency.
The modal class is 7-10
So, we have l = 7, h = 3, f1 = 40, f0 = 30, f2 = 16
Mode = l + 1 0
1 0 2
f f 40 30h 7 3
2f f f 80 30 16
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10 303 7 7 0.88 7.88
34 347
Thus, the required
Median = 8.05, Mean = 8.32 and Mode = 7.88.
Question based on median
1. The following frequency distribution gives the monthly consumption of electricity of 68 consumers of a
locality. Find the median, mean and mode of the data and compare them.
Monthly consumption (in Units) Number of consumers
65 - 85
85 - 105
105 - 125
125 - 145
145 - 165
165 - 185
185 - 205
4
5
13
20
14
8
4
2. If the median of the distribution given below is 28.5, find the values of x and y.
Class Interval Frequency
0 - 10
10 - 20
20 - 30
30 - 40
40 – 50
50 - 60
5
x
20
15
y
5
Total 60
3. A life insurance agent found the following data for distribution of ages of 100 policy holders. Calculate
the median age, if policies are given only to persons having age 18 years onwards but less than 60 year.
Age (in years) Number of Policy holder
Below 20
Below 25
Below 30
Below 35
Below 40
Below 45
Below 50
Below 55
Below 60
2
6
24
45
78
89
92
98
100
4. The lengths of 40 leaves of a plant are measured correct to the nearest millimetre, and the data obtained
is represented in the following table :
Length (in mm) Number of leaves
118 - 126
127 - 135
136 - 144
145 - 153
154 - 162
163 - 171
172 - 180
3
5
9
12
5
4
2
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Find the median length of the leaves.
5. The following table gives the distribution of the life time of 400 neon lamps :
Life time (in hours) Number of lamps
1500 - 2000
2000 - 2500
2500 - 3000
3000 - 3500
3500 - 4000
4000 - 4500
4500 - 5000
14
56
60
86
74
62
48
Find the median life time of a lamp.
6. The distribution below gives the weights of 30 students of a class. Find the median weight of the
students.
Weight (in Kg) 40 – 45 45 – 50 50 – 55 55 – 60 60 – 65 65 – 70 70 – 75
No. of Students 2 3 8 6 6 3 2
Graphical representation of Cumulative frequency Distribution.
In previous classes we have represented the data through bar graph, histograms and frequency polygon. In this
section we represent a cumulative frequency distribution graphically.
First we prepare the cumulative frequency table then, the cumulative frequency are plotted against th upper of
lower limits of the corresponding class−interval. By joining the point the curve so obtained is called cumulative
frequency curve or ogive.
There are two types of ogives:
Less than ogive : Plot the points with the upper limits of the class as abscissa and the corresponding less than
cumulative frequencies as ordinates. The points are joined by free hand smooth curve to give less than cumulative
frequency curve or the less than Ogive. It is a rising curve.
Greater than ogive : Plot the points with the lower limits of the classes as abscissa and the corresponding Greater
then cumulative frequencies as ordinates. Join the points by a free hand smooth curve to get the “More than
Ogive”. It is a falling curve.
When the points obtained are joined by straight lines, the picture obtained is called cumulative frequency polygon.
Example 1: The following distribution gives the daily income of 50 workers of a factory.
Daily income (in Rs.) 100-120 120-140 140-160 160-180 180-200
Number of workers 12 14 8 6 10
Convert the distribution above to a less that type cumulative frequency distribution, and draw its
ogive.
Solution: We have the cumulative frequency distribution as:
Daily Income (In Rs.) Cumulative Frequencies
Less than 120 12 + 0 = 12
Less than 140 12 + 14 = 26
Less than 160 26 + 8 = 34
Less than 180 34 + 6 = 40
Less than 200 40 + 10 = 50
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Now, we plot the points corresponding to the ordered pair (120, 12), (140, 26), (160, 34), (180, 40)
and (200, 50) on a graph paper and join them by a free hand to get a smooth curve as shown below:
The curve so obtained is called the less than ogive.
Example-2 : During the medical check-up of 35 students of a class, their weights were recorded as
follows:
Weight (in kg) Number of
students
Less than 38 0
Less than 40 3
Less than 42 5
Less than 44 9
Less than 46 14
Less than 48 28
Less than 50 32
Less than 52 35
Draw a less than type ogive for the given data. Hence obtain the median weight from the graph and
verify the result by using the formula.
Solution: Here, the values 38, 40, 42, 44, 46, 48, 50 and 52 are the upper limits of the respective
class-intervals.
We plot the points (ordered pairs) (38, 0), (40, 3), (42, 5), (44, 9), (46, 14), (48, 28), (50, 32) and (52,
35) on a graph paper and join them by a free hand to get a smooth curve. The curve so obtained is the
less than type ogive.
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n 3517.5
2 2n 35,
The point 17.5 is on y-axis.
From this point (i.e., from 17.5) we draw a line parallel to the x-axis which cuts the curve at P. From
this point (p, draw a perpendicular to the x-axis, meeting the x-axis at Q. The point Q represents the
median of the data which is 47.5.
Verification:
To verify the result using the formula, let us make the following table in order to find mode using the
formula:
Weight (in
kg)
Frequency Number of Students
(Cumulative Frequency)
38-40 3 3
40-42 2 5
42-44 4 9
44-46 5 14
46-48 14 28
48-50 4 32
50-52 3 35
Here, n 35
n 35 17.52 2
Since, this observation lies in the class 46-48.
The median class is 46-48 such that l = 46, h = 2, f = 14, cf = 14
Median = l +
ncf
17.5 14 3.52 h 46 9 2 46 2f 14 14
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146.5kg
246
Thus, the median = 46.5 kg is approximately verified.
Example 3: The following table gives production yield per hectare of wheat of 100 farms of a village.
Production yield (in
kg/ha)
50-55 55-60 60-65 65-70 70-75 -75-80
Number of farms 2 8 12 24 38 16
Change the distribution to a more than type distribution, and draw its ogive.
Solution: For more than type distribution we have:
Production yield (in kg/ha) Number of Farms
More than 50 100
More than 55 98
More than 60 90
More than 65 78
More than 70 54
More than 75 16
Now, we plot the points (50, 100), (55, 98), (60, 90), (65, 78), (70, 54) and (75, 16) and join the point with a free
hand to get a smooth curve.
The curve so obtained is the „more than type ogive‟.
Example 4 : The annual profits earned by 30 shops of a shopping complex in a locality give rise to the
following distribution:
Profit (in lakhs Rs.) Number of shops (frequency)
More than or equal to 5 30
More than or equal to 10 28
More than or equal to 15 16
More than or equal to 20 14
More than or equal to 25 10
More than or equal to 30 7
More than or equal to 35 3
Draw both ogive for the data above. Hence obtain the medina profit.
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Mathematics
Solution: We first draw the coordinate axes, with lower limits of the profit along the horizontal axis, and the
cumulative frequency along the vertical axes. Then, we plot the points (5, 30), (10, 28), (15, 16), (20, 14), (25,
10), (30, 7) and (35, 3). We join these points with a smooth curve to get the „more than‟ ogive, as shown in fig.
Now let us obtain the classes, their frequencies and the cumulative frequency from the table above.
Classes 5-10 10-15 15-20 20-25 25-30 30-35 35-40
No. of shops 2 12 2 4 3 4 3
Cumulative
frequency
2 14 16 20 23 27 30
Using these values, we plot the points (10, 2), (15, 14), (20, 16), (30, 23), (35, 27), (40, 30) on the same axes as
in fig. to get the „less than‟ ogive, as show in fig.
The abscissa of their point of intersection is nearly 17.5, which is the median. This can also be verified by using
the formula. Hence, the median profit (in lakhs) is Rs. 17.5.
Question based on ogives.
1. Draw a more than ogive for the following frequency distribution :
Marks Number of students
0-10 5
10-20 3
20-30 4
30-40 3
40-50 3
50-60 4
60-70 7
70-80 9
80-90 7
90-100 8
2. Draw a less than ogive for the following frequency distribution :
I. Q. 60 – 70 70 – 80 80 – 90 90 – 100 100 – 110 110 – 120 120 – 130
No. of Students 2 5 12 31 39 10 4
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3. The following table shows the daily sales of 230 footpath sellers of Chandni Chowk.
Sales (in Rs.) No. of Sellers
0 – 500
500 – 1000
1000 – 1500
1500 – 2000
2000 – 2500
2500 – 3000
3000 – 3500
3500 – 4000
12
18
35
42
50
45
20
8
Locate the median of the above data using only the less than type ogive.
4. Draw the two ogives for the following frequency distribution of the weekly wages of (less than and more
than) number of workers.
Weekly wages 0 – 20 20 – 40 40 – 60 60 – 80 80 – 100
No. of Workers 41 51 64 38 7
5. The following table gives production yield per hectare of wheat of 100 farms of a village.
Production yield (in
kg/ha)
50 – 55 55 – 60 60 – 65 65 – 70 70 – 75 75 – 80
Number of farms 2 8 12 24 38 16
Draw the less then ogive and greater than ogive.
6. Following table gives the cumulative frequency of the age of a group of 199 teachers.
Draw the less then ogive and greater than ogive and find the median.
Age in years No. of Sellers
20 – 25
25 – 30
30 – 35
35 – 40
40 – 45
45 – 50
50 – 55
55 – 60
60 – 65
65 – 70
21
40
90
130
146
166
176
186
195
199
7. The distribution below gives the weights of 30 students of a calss.
Weight (in kg) 40-45 45-50 50-55 55-60 60-65 65-70 70-75
Number of
students
2 3 8 6 6 3 2
Draw the less then ogive and greater than ogive and find the median.
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ANSWER
Question based on mean of ungroup data.
1. 7.025 2. 1.5 3.62.65 4. 1494.5 5. 12.25
Question based on mean of group data.
1. 8.1 2. 0.099 3. 12.38 4.69.73 5. 145.20 6. 22 7.75.9
8. 211 9. 34.88 10. 62.54 11.5719 12. 27.95 13.P=4
14. P=7 15. F=20 16. x=10, y = 8 17. F₁ = 9, f₂ = 4
Question based on mode.
1.2 2.mode = 36.8, mean =
35.37 3. 65.625 4. Modal monthly expenditure = Rs. 1847.83, mean = 2662.5
5. 4608.7 runs. 6. 44.7 cars.
Question based on median.
1. median = 137, mean = 137.05, mode = 135.76. The three measure
are approximately same.
2. x = 8, y = 7 3. Median age = 35.76
years.
4. Median = 146.75 mm 5. median life =
3406.98 hours
6. median = 56.67 kg.
Question based on ogive.
1. median profit = Rs. 17.5 4. Median = 37.375
5.
Production yield (kg/ha) Cumulative
More than or equal to 50
More than or equal to 55
More than or equal to 60
More than or equal to 65
More than or equal to 70
More than or equal to 75
100
98
90
78
54
16
Now, draw the ogive by plotting the points : (50,100), (55, 98), (60,90), (65,78), (70,54)
6. 37.375
7. 56.67
