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MODE OF A GROUPED DATA

MODE : Mode is that value among the observations which occurs most often i.e. the value of the observation having the maximum frequency.

In a grouped frequency distribution, it is not possible to determine the mode by looking at the frequencies.

MODAL CLASS : The class of a frequency distribution having maximum frequency is called modal class of a frequency distribution.

The mode is a value inside the modal class and is calculated by using the formula.

Mode = Class 10 Maths,CBSE Class 10,Maths,Class 10,Statistics

Where ℓ =  Lower limit of the modal class.  
h = Size of class interval
f= Frequency of modal class  
f0 = Frequency of the class preceding the modal class
f2 = Frequency of the class succeeding the modal class.

Ex.15 The following data gives the information on the observed lifetimes (in hours) of 225 electrical components :

Lifetimes (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.

Sol. Here the class 60-80 has maximum frequency, so it is the modal class.

∴ ℓ = 60, h = 20, f1 = 61, f0 = 52 and f2 = 38

Therefore, mode = Class 10 Maths,CBSE Class 10,Maths,Class 10,Statistics 
=60 + Class 10 Maths,CBSE Class 10,Maths,Class 10,Statistics � 20 = Mode of A Grouped Data - Statistics, Class 10, Mathematics | Extra Documents, Videos & Tests for Class 10= 60 + 5.625 = 65.625

Hence, the modal lifetimes of the components is 65.625 hours.

Ex.16 Given below is the frequency distribution of the heights of players in a school.

 

Heights, (in cm)

160-162

163-165

166-168

169-171

172-174

No. of students

15

118

142

127

18

 

Find the average height of maximum number of students.

Sol. The given series is in inclusive form. We prepare the table in exculsive form, as given below :

Heights |in cm)

159.5-162.5

162.5-165.5

165.5-168.5

168.5-171.5

171.5-174.5

No. of students

15

118

142

127

18

 

We have to find the mode of the data.

Here, the class 165.5 -168.5 has maximum frequency, so it is the modal class.

Ex.17 The mode of the following series is 36. Find the missing frequency f in it.

Class

0-10

10-20

20-30

30-40

40-50

50-60

60-70

Frequency

8

10

f

16

12

6

7

 

Sol. Since the mode is 36, so the modal class will be 30-40

∴ ℓ = 30, h = 10, f1 = 16, f0 = f and f2 = 12

Therefore, mode = Class 10 Maths,CBSE Class 10,Maths,Class 10,Statistics

 ⇒ 36 = 30 + Class 10 Maths,CBSE Class 10,Maths,Class 10,Statistics x 10  ⇒ 6   Class 10 Maths,CBSE Class 10,Maths,Class 10,Statistics

 ⇒ 120 – 6f = 160 – 10f  ⇒ 4f = 40  ⇒ f = 10

Hence, the value of the missing frequency f is 10. ˜

GRAPHICAL REPRESENTATION OF CUMULATIVE FREQUENCY DISTRIBUTION

= CUMULATIVE FREQUENCY POLYGON CURVE ( O GIVE )

Cumulative frequency is of two types and corresponding to these, the ogive is also of two types.
= LESS THAN SERIES =  MORE THAN SERIES
= LESS THAN SERIES To construct a cumulative frequency polygon and an ogive, we follow these steps :

STEP-1 :Mark the upper class limit along x-axis and the corresponding cumulative frequencies along y-axis.
STEP-2 :Plot these points successively by line segments. We get a polygon, called cumulative frequency polygon.
STEP-3 :Plot these points successively by smooth curves, we get a curve called cumulative frequency curve or an ogive.

= MORE THAN SERIES To construct a cumulative frequency polygon and an ogive, we follow these steps:

STEP-1 :Mark the lower class limits along x-axis and the corresponding cumulative frequencies along y-axis.
STEP-2 :Plot these points successively by line segments, we get a polygon, called cumulative frequency polygon.
STEP-3 :Plot these points successively by smooth curves, we get a curve, called cumulative frequency curve or an ogive.

APPLICATION OF AN OGIVE

Ogive can be used to find the median of a frequency distribution. To find the median, we follow these steps.

METHOD -I

STEP-1 :Draw anyone of the two types of frequency curves on the graph paper.
STEP-2 :Compute Class 10 Maths,CBSE Class 10,Maths,Class 10,Statistics and mark the corresponding points on the y-axis.
STEP-3 :Draw a line parallel to x-axis from the point marked in step 2, cutting the cumulative frequency curve at a point P.
STEP-4 :Draw perpendicular PM from P on the x-axis. The x - coordinate of point M gives the median.

METHOD -II

STEP-1 :Draw less than type and more than type cumulative frequency curves on the graph paper.
STEP-2 :Mark the point of intersecting (P) of the two curves drawn in step 1.
STEP-3 :Draw perpendicular PM from P on the x-axis. The x- coordinate of  point M gives the median.
 

Ex.18 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

No. of workers

12

14

8

6

10

 

Convert the distribution above to a less than type cumulative frequency distribution and draw its ogive.

Sol. From the given table, we prepare a less than type cumulative frequency distribution table, as given below:

Income less than (in Rs.)

120

140

160

180

200

Cumulative frequency

12

26

34

40

50

 
Now, plot the points (120, 12), (140, 26), (160, 34), (180, 40) and (200, 50).

Join these points by a freehand curve to get an ogive of 'less than' type.

 Class 10 Maths,CBSE Class 10,Maths,Class 10,Statistics

Ex.19 The following table gives production yield per hectare of wheat of 100 farms of a village.

 

Production yield (m kg/ha)

50-55

55-60

60-65

65-70

70-75

75-80

No. offering

2

3

12

24

33

16

 

Change the distribution to more than type distribution and draw its ogive.

Sol. From the given table, we may prepare more than type cumulative frequency distribution table, as given below:

Production more than (in kg/ ha)

50

55

60

65

70

75

Cumulative frequency

100

98

90

78

54

16

 

Now, plot the points (50,100), (55,98), (60,90), (65,78), (70,54) and (75,16).

Join these points by a freehand to get an ogive of 'more than' type.

Class 10 Maths,CBSE Class 10,Maths,Class 10,Statistics

 

Ex.20  The annual profits earned by 30 shops of a shopping complex in a locality gives rise to the following distribution:

 

Profit (in lakhs Rs.)

Ho. 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 ogives for the data above. Hence, obtain the median profit.

Sol. We have a more than type cumulative frequency distribution table. We may also prepare a less than type cumulative frequency distribution table from the given data, as given below :

'More than' type

’Less than’type

Profit more than

(Rs. in lakhs)

No ofshops

Profit less than (Rs. in lakhs)

No of shops

5

30

10

2

10

28

15

14

15

16

20

11

20

14

25

20

25

10

30

23

30

7

35

27

35

3

40

30

 

Now, plot the points A(5,30), B(10,28), C(15,16), D(20,14), E(25,10), F(30,7) and G(35,3) for the more than type cumulative frequency and the points P(10,2), Q(15,14), R(20,16), S(25,20), T(30,23), U(35,27) and V(40,30) for the less than type cumulative frequency distribution table.
Join these points by a freehand to get ogives for 'more than' type and 'less than' type.

Class 10 Maths,CBSE Class 10,Maths,Class 10,Statistics

The two ogives intersect each other at point (17.5, 15).
Hence, the median profit is Rs. 17.5 lakhs.

Ex.21 The following data gives the information on marks of 70 students in a periodical test:

Marks

Less than 10

Less than 20

Less than 30

Less than 40

Less than 50

No. of students

3

11

28

48

70

 
Draw a cumulative frequency curve for the above data and find the median.

Sol. We have a less than cumulative frequency table. We mark the upper class limits along the x-axis and the corresponding cumulative frequencies (no. of students) along the y-axis. Now, plot the points (10,3), (20,11), (30,28), (40,48) and (50,70). Join these points by a freehand curve to get an ogive of 'less than' type.

Class 10 Maths,CBSE Class 10,Maths,Class 10,Statistics

Here, N =70
∴ N/2 = 35
Take a point A(0,35) on the y-axis and draw AP || x-axis, meeting the curve at P.
Draw PM ⊥ x -axis, intersecting the x-axis, at M.
Then, OM = 33.
Hence, the median marks is 33.

The document Mode of A Grouped Data - Statistics, Class 10, Mathematics | Extra Documents, Videos & Tests for Class 10 is a part of the Class 10 Course Extra Documents, Videos & Tests for Class 10.
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FAQs on Mode of A Grouped Data - Statistics, Class 10, Mathematics - Extra Documents, Videos & Tests for Class 10

1. What is the mode of a grouped data in statistics?
Ans. In statistics, the mode of a grouped data refers to the value or category that occurs with the highest frequency. It is the most frequently occurring observation in the data set.
2. How can we find the mode of a grouped data?
Ans. To find the mode of a grouped data, we first identify the class interval with the highest frequency. Then, within that class interval, we determine the midpoint of the interval that has the highest frequency. This midpoint represents the mode of the grouped data.
3. Can there be multiple modes in a grouped data?
Ans. Yes, it is possible to have multiple modes in a grouped data. If there are two or more class intervals with the same highest frequency, then each midpoint of those intervals will be considered as a mode. In such cases, the data is said to be multimodal.
4. Why is it necessary to group data when finding the mode?
Ans. Grouping data is necessary when finding the mode because it helps in simplifying and summarizing large sets of data. Grouping allows us to organize the data into intervals, making it easier to identify the class interval with the highest frequency and determine the mode accurately.
5. How is the mode of a grouped data different from the mode of a raw data?
Ans. The mode of a grouped data and the mode of a raw data differ in the way they are calculated. In the mode of a raw data, we simply find the value that occurs most frequently. However, in the mode of a grouped data, we consider the class interval with the highest frequency and find the midpoint of that interval, which represents the mode. Grouping data helps in dealing with large data sets and provides a more concise representation of the mode.
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