INTRODUCTION
In class IX, we have studied about the presentation of given data in the form of ungrouped as well as grouped frequency distributions. We have also studied how to represent the statistical data in the form of various graphs such as bar graphs, histograms and frequency polygons. In addition, we have studied the measure of central tendencies such as mean, median and mode of ungrouped data.
In this chapter, we shall discuss about mean, median and mode of grouped data. We shall also discuss the
concept of cumulative frequency, cumulative frequency distribution and cumulative frequency curve (ogive).
MEAN OF UNGROUPED DATA
We know that the mean of observations is the sum of the values of all the observations divided by the total
number of observations i.e., If x1, x2, x3,......xn are n observations, then
mean, or denotes the sum x1, + x2, + x3 + ,...... + xn.
The arithmetic mean of grouped data may also be calculated by any one of the following methods :
1. Direct method
2. Short-cut method or Assumed-mean method
3.Step-deviation method.
MEAN OF GROUPED DATA
DIRECT METHOD
If x1, x2, x3,......xn are observations with respective frequencies then mean, defined by
or
To find mean of grouped Data
The following steps should be followed in finding the arithmetic mean of grouped data by direct method.
STEP - 1 :Find the class mark (xi) of each class using,
STEP - 2 : Calculate fixi for each i
STEP - 3 : Use the Formula : mean,
SHORTCUT METHOD OR ASSUMED MEAN METHOD
In this case, to calculate the mean, we follow the following steps :
STEP-1 :Find the class mark xi of each class using
STEP-2 :Choose a suitable value of xi in the middle as the assumed mean and denote it by 'a'.
STEP-3 :Find di = xi – a for each i
STEP-4 :Find fi × di for each i
STEP-5 :Find fi
STEP-6 :Calculate the mean, (x) by using the formula
STEP-DEVIATION METHOD
Sometimes, the values of x and f are so large that the calculation of mean by assumed mean method becomes quite inconvenient. In this case, we follow the following steps:
STEP-1 :Find the class mark xi of each class by using
STEP-2 :Choose a suitable values of xi in the middle as the assumed mean and denote it by 'a'.
STEP-3 :Find h = (upper limit –lower limit) for each class.
STEP-4 :Find for each class.
STEP-5 :Find fiui for each i.
STEP-6 :Calculate, the mean by using the formula
Ex.1 Find the mean of the following data :
Class Interval |
0-8 |
8-16 |
16-24 |
24-3 2 |
3 2-40 |
Frequency |
6 |
7 |
10 |
8 |
9 |
Sol. We may prepare the table as given below :
Class interval |
Frequency (fi) |
Class maifc (xi) |
fixi |
0-8 |
6 |
4 |
24 |
8-16 |
7 |
12 |
S4 |
16-24 |
10 |
20 |
200 |
24-32 |
s |
28 |
224 |
32-40 |
9 |
36 |
324 |
|
∑fi = 40 |
|
∑fixi = 856 |
Ex.2 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 |
Sol. We may prepare the table as given below :
Daily pocket allowance |
Nuirfjer of children (fi) |
Class maik (xi) |
fixi |
11-13 |
7 |
12 |
84 |
13-15 |
6 |
14 |
84 |
15-17 |
9 |
16 |
144 |
17-19 |
13 |
18 |
234 |
19-21 |
f |
20 |
20f |
21-23 |
5 |
22 |
110 |
23-25 |
4 |
24 |
96 |
|
∑fi = 44 + f |
|
∑fixi = 752 + 20f |
Given, mean = 18
⇒ 752 + 18f = 752 + 20f ⇒ 2f = 40 ⇒f = 20
2f = 40 ⇒ f = 20
Ex.3 Find the missing frequencies f1 and f2 in the table given below, it is being given that the mean of the given frequency distribution is 50.
Class |
0-20 |
20-40 |
40-60 |
60-80 |
80-100 |
Total |
Frequency |
17 |
f1 |
32 |
f2 |
19 |
120 |
Sol. We may prepare the table as given below :
Class |
Frequency (fi) |
Class mark(xi) |
fixi |
0-20 |
17 |
10 |
170 |
20-40 |
f1 |
30 |
30f1 |
40-60 |
32 |
50 |
1600 |
60-80 |
f2 |
70 |
70f2 |
80-100 |
19 |
90 |
1710 |
|
∑fi = 68+f1+f2 |
|
∑fixi= 3480 + 30f1 + 70f2 |
Given, mean = 50
⇒ 3400 + 50f1+ 50f2 = 3480 + 30f1 + 70f2
⇒ 20f1 - 20f2 = 80 ⇒ f1 - f2 = 4 .......(i)
And ∑fi = 68 + f1+ f2
∴ 120 = 68 + f1 + f2 [∵ ∑f1 = 120]
⇒ f1 + f2 = 52 ...(ii)
Adding (1) and (2), we get 2f1 = 56 ⇒ f1 =28
∴ f2 = 24
Hence, the missing frequencies f1 and f2 are 28 and 24 respectively.
Ex.4 The following table gives the marks scored by 100 students in a class test :
Mark |
0-10 |
10-20 |
20-30 |
30-40 |
40-50 |
50-60 |
No. of Students |
12 |
18 |
27 |
20 |
17 |
6 |
Find the mean marks scored by a student in class test.
Sol. We may prepare the table with assumed mean, a = 35 as given below :
Marks |
No. of students (fi) |
Class unik (Xi) |
d1 = xi - a = xi - 35 |
fid1 |
0-10 |
12 |
5 |
-30 |
-360 |
10-20 |
18 |
15 |
-20 |
-360 |
20-30 |
27 |
25 |
-10 |
-270 |
30-40 |
20 |
35 = a |
0 |
0 |
40-50 |
17 |
45 |
10 |
170 |
50-60 |
6 |
55 |
20 |
120 |
|
N= 100 |
|
|
∑fid1 =-700 |
Ex.5 Thirty women were examined in a hospital by a doctor and the number of heart beats per minute, were recorded and summarised as follows. Find the mean heart beats per minute for these women, by using assumed mean method.
No. of heart beats per minute |
65-68 |
68-71 |
71-74 |
74-77 |
77-80 |
80-83 |
83-86 |
Frequency |
2 |
4 |
3 |
8 |
7 |
4 |
2 |
Sol. We may prepare the table with assumed mean, a = 75.5 as given below :
No. of heart beats per minute |
No. of women (fi) |
Class mark(xi) |
d1= xi-a = xi -75.5 |
fid1 |
65-68 |
2 |
66.5 |
-9 |
-18 |
68-71 |
4 |
69.5 |
-6 |
-24 |
71-74 |
3 |
72.5 |
-3 |
-9 |
74-77 |
8 |
75.5 = a |
0 |
0 |
77-80 |
7 |
78.5 |
3 |
21 |
80-83 |
4 |
81.5 |
6 |
24 |
83-86 |
2 |
84.5 |
9 |
18 |
|
N = 30 |
|
|
∑fid1=12 |
Ex.6 Find the mean of the following distribution by step-deviation method :
Class |
50-70 |
70-90 |
90-110 |
110-130 |
130-150 |
150-170 |
Frequency |
18 |
12 |
13 |
27 |
8 |
22 |
Sol. We may prepare the table with assumed mean a = 120 and h = 20 as given below :
Class | Frequency (fi) | Class inailc (xi) | fiui | |
50-70 |
18 |
60 |
-3 |
-54 |
70-90 |
12 |
80 |
_2 |
-24 |
90-110 |
13 |
100 |
-1 |
-13 |
110-130 |
27 |
120 = a |
0 |
0 |
130-150 |
8 |
140 |
1 |
8 |
150-170 |
22 |
160 |
2 |
44 |
|
N= 100 |
|
|
∑fiui = -39 |
Ex.7 Find the mean marks from the following data :
Marks |
Below 10 |
Below 20 |
Below 30 |
Below 40 |
Below 50 |
Below 60 |
Below 70 |
Below 80 |
Be low 90 |
Below 100 |
No. of Students |
5 |
9 |
17 |
29 |
45 |
60 |
70 |
78 |
S3 |
85 |
Sol. We may prepare the table as given below :
Marks |
No. of students |
Class Interval |
fi |
Class mark (xi) |
fixi |
Below 10 |
5 |
0-10 |
5 |
5 |
25 |
Below 20 |
9 |
10-20 |
4 |
15 |
60 |
Below 30 |
17 |
20-30 |
9 |
25 |
225 |
Below 40 |
29 |
30-40 |
12 |
35 |
420 |
Below 50 |
45 |
40-50 |
16 |
45 |
720 |
Below 60 |
60 |
50-60 |
15 |
55 |
825 |
Below 70 |
70 |
60-70 |
10 |
65 |
650 |
Below SO |
78 |
70-S0 |
S |
75 |
600 |
Below 90 |
83 |
80-90 |
5 |
85 |
425 |
Below 100 |
85 |
90-100 |
2 |
95 |
190 |
|
|
|
N = 95 |
|
∑fixi = 4140 |
Ex.8 Find the mean marks of students from the adjoining frequency distribution table.
Marks |
No. of Students |
Above 0 |
80 |
Above 10 |
77 |
Above 20 |
72 |
Above 3 0 |
65 |
Above 40 |
55 |
Above 5 0 |
43 |
Above 60 |
23 |
Above 70 |
16 |
Above 80 |
10 |
Above 90 |
8 |
Above 100 |
0 |
Sol. We may prepare the table as given below :
Marks |
No. of students |
Class Interval |
fi |
Class lnnifc(xi) |
fixi |
Above 0 |
80 |
0-10 |
3 |
5 |
15 |
Above 10 |
77 |
10-20 |
5 |
15 |
75 |
Above 20 |
72 |
20-30 |
7 |
25 |
175 |
Above 30 |
65 |
30-40 |
10 |
35 |
350 |
Above 40 |
55 |
40-50 |
12 |
45 |
540 |
.Abow 50 |
43 |
50-60 |
20 |
55 |
1100 |
Above 60 |
23 |
60-70 |
7 |
65 |
455 |
Above 70 |
16 |
70-80 |
6 |
75 |
450 |
Above 80 |
10 |
80-90 |
2 |
85 |
170 |
Above 90 |
8 |
90-100 |
8 |
95 |
760 |
Above 100 |
0 |
100-110 |
0 |
105 |
0 |
|
|
|
N = 8 |
|
∑fixi = 4090 |
= 51.125 = 51.1 (approx)
Ex.9 Find the arithmetic mean of the following frequency distribution.
Class |
25-29 |
30-34 |
3 5-39 |
40-44 |
45-49 |
50-54 |
5 5-59 |
Frequency |
14 |
2 2 |
16 |
6 |
5 |
3 |
4 |
Sol. The given series is in inclusive form. We may prepare the table in exclusive form with assumed mean a = 42 as given below :
Class |
Frequency (fi) |
Class inaik (xi) |
d1 = x1 - a |
fid1 |
24.5-29.5 |
14 |
27 |
-15 |
-210 |
29.5-34.5 |
22 |
32 |
-10 |
-220 |
34.5-39.5 |
16 |
37 |
-5 |
-80 |
39.5-44.5 |
6 |
42 = a |
0 |
0 |
44.5^9.5 |
5 |
47 |
5 |
25 |
49.5-54.5 |
3 |
52 |
10 |
30 |
54.5-59.5 |
4 |
57 |
15 |
60 |
|
N = 70 |
|
|
∑fid1 = -395 |
MEDIAN OF A GROUPED DATA
MEDIAN : It is a measure of central tendency which gives the value of the middle most observation in the data. In a grouped data, it is not possible to find the middle observation by looking at the cumulative frequencies as the middle observation will be some value in a class interval. It is, therefore, necessary to find the value inside a class that divides the whole distribution into two halves.
MEDIAN CLASS : The class whose cumulative frequency is greater than N/2 is called the median class.
To calculate the median of a grouped data, we follow the following steps :
STEP-1 :Prepare the cumulative frequency table corresponding to the given frequency distribution and obtain
N = ∑fi.
STEP-2 :Find N/2
STEP-3 :Look at the cumulative frequency just greater than N/2 and find the corresponding class (Median class).
STEP-4 :Use the formula Median,
Where ℓ = Lower limit of median class.
f = Frequency of the median class.
C = Cumulative frequency of the class preceding the median class.
h = Size of the median class.
Ex.10 Find the median of the following frequency distribution :
Marks |
0-10 |
10-20 |
20-30 |
30-40 |
40-50 |
Total |
No. of Students |
8 |
20 |
36 |
24 |
12 |
100 |
Sol. At first we prepare a cumulative frequency distribution table as given below :
Marks |
Niurijer of students (fi) |
Cminlatiw frequency |
0-10 |
8 |
8 |
10-20 |
20 |
28 |
20-30 |
36 |
64 |
30-40 |
24 |
88 |
40-50 |
12 |
100 |
|
N= 100 |
|
Her , N = 100
∴ N/2 = 50
The cumulative frequency just greater than 50 is 64 and the corresponding class is 20-30.
So, the median class is 20-30.
∴ ℓ = 20, N = 100, C = 28, f = 36 and h = 10
Therefore, median
1. What is statistics? |
2. What are the main components of statistics? |
3. What is the difference between primary and secondary data? |
4. What are the measures of central tendency? |
5. What is probability? |