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Plant A | Plant B | |
| No. of workers | 5000 | 6000 |
| Average monthly wages | ₹2500 | ₹2500 |
| The variance of distribution of wages | 81 | 100 |
In which plant A or B is there greater variability in individual wages?
Solution:
Variation of the distribution of wages in plant A (σ2 =18)
So, Standard deviation of the distribution A (σ – 9)
Similarly, the Variation of the distribution of wages in plant B (σ2 =100)
So, Standard deviation of the distribution B (σ – 10)
And, Average monthly wages in both the plants is 2500,
Since, the plant with a greater value of SD will have more variability in salary.
∴ Plant B has more variability in individual wages than plant A
Weights | Heights | |
| Mean | 63.2 Kg | 63.2 inch |
Standard deviation | 5.6 Kg | 11.5 inch |
Which shows more variability, heights or weights?
Solution:
We observe that the average weights and height for the 50 students is same i.e. 63.2.
Therefore, the parameter with greater variance will have more variability.
Thus, height has greater variability
Solution:
Coefficient of variation =
So, we have:
∴ Means are 35 and 22.85
| Income(in ₹): | 1000 - 1700 | 1700 - 2400 | 2400 - 3100 | 3100 - 3800 | 3800 - 4500 | 4500 - 5200 |
No. of families: | 12 | 18 | 20 | 25 | 35 | 10 |
Solution:
Class
Fi
xi
fiui
fiui2
1000 - 1700
12
1350
-2
-24
48
1700 - 2400
18
2050
-1
-18
18
2400 - 3100
20
2750
0
0
0
3100 - 3800
25
3450
1
25
25
3800 - 4500
35
4150
2
70
140
4500 - 5200
10
4850
3
30
90
Now,
N = 120,
Mean,
Variance = 1076332.64
Standard Deviation,
Coefficient of variation =
= 32.08
∴ The coefficient variation is 32.08
Firm A | Firm B | |
| No. of wage earners | 586 | 648 |
| Average weekly wages | ₹52.5 | ₹47.5 |
| The variance of the distribution of wages | 100 | 121 |
(i) Which firm A or B pays out the larger amount as weekly wages?
(ii) Which firm A or B has greater variability in individual wages?
Solution:
(i) Average weekly wages =
Total weekly wages = (Average weekly wages) × (No. of workers)
Total weekly wages of Firm A = 52.5 × 586 = Rs 30765
Total weekly wages of Firm B = 47.5 × 648 = Rs 30780
Firm B pays a larger amount as Firm A
(ii) Here,
S.D (Firm A) = 10 and S.D (Firm B) = 11
Coefficient variance (Firm A) =
= 19.04
Coefficient variance (Firm B) =
= 23.15
∴ Coefficient variance of Firm B is greater than that of Firm A, Firm B has greater variability in individual wages.
| Boys | Girls | |
| Number | 100 | 50 |
| Mean weight | 60 Kg | 45 Kg |
| Variance | 9 | 4 |
Which of the distributions is more variable?
Solution:
Given:
S.D (Boys) is 3 and S.D (Girls) is 2
Coefficient variance (Boys) =
= 5
Coefficient variance (Girls) =
= 4.4
∴ Coefficient variance of Boys is greater than Coefficient variance of girls, and then the distribution of weights of boys is more variable than that of girls.
Subject Mean | Mathematics 42 | Physics 32 | Chemistry 40.9 |
| Standard deviation | 12 | 15 | 20 |
Solution:
In order to compare the variability of marks in Math, Physics and Chemistry.
We have to calculate their coefficient of variation.
Let σ1, σ2 and σ3 denote the standard deviation of marks in Math, Physics and Chemistry respectively. Further, Let be the mean scores in Math, Physics and Chemistry respectively.
We have
⇒ σ1 = 12 σ2 = 15 σ3 = 20
Now,
Coefficient of variation in Maths =
Coefficient of variation in Physics =
Coefficient of variation in Chemistry =
Clearly, coefficient of variation in marks is greatest in Chemistry and lowest in Math.
So, marks in chemistry show highest variability and marks in maths show lowest variability.
Marks Group G1 | 10 - 20 9 | 20 - 30 30 - 40 17 32 | 40 - 50 33 | 50 - 60 60 - 70 40 10 | 70 - 80 9 |
| Group G2 | 10 | 20 30 | 25 | 43 15 | 7 |
Solution:
Let's first find the coefficient of variable for group G1
CI f
10 - 20 9
20 - 30 17
x u=(x - A)/h
15 -3
25 -2
fu u2
-27 9
-34 4
fu2
81
68
30 - 40 32
40 - 50 33
35 -1
45 0
-32 1
0 0
32
0
50 - 60 40 55 1 40 1 40 60 - 70 10
70 - 80 9
65 2
75 3
20 4
27 9
40
81
150 -6 342 Here, N = 150, A = 45, and h = 10
∴ Mean =
Coefficient of variation =
Now, lets find the coefficient of variable for group G2
CI f
10 - 20 10
20 - 30 20
x u=(x - A)/h
15 -3
25 -2
fu u2
-30 9
-40 4
fu2
90
80
30 - 40 30
40 - 50 25
35 -1
45 0
-30 1
0 0
30
0
50 - 60 43 55 1 43 1 43 60 - 70 15
70 - 80 7
65 2
75 3
30 4
21 9
60
63
150 -6 366 Here, N = 150, A = 45, and h = 10
∴ Mean =
Coefficient of variation =
Group G2 is more variable
| Size (in cms): 10 - 15 | 15 - 20 | 20 - 25 | 25 - 30 | 30 - 35 | 35 - 40 |
| No. of items: 2 | 8 | 20 | 35 | 20 | 15 |
Solution:
CI f x
10 - 15 2 12.5
15 - 20 8 17.5
u=(x - A)/h fu u2
-2 -4 4
-1 -8 1
fu2
8
8
20 - 25 20 22.5
25 - 30 35 27.5
0 0 0
1 35 1
0
35
30 - 35 20 32.5 2 40 4 80 35 - 40 15 37.5 3 45 9 135 100 108 266 Here, N = 100, A = 22.5, and h = 5
∴ Mean =
Coefficient of variation =
| X: | 35 | 54 | 52 | 53 | 56 | 58 | 52 | 50 | 51 | 49 |
| Y: | 108 | 107 | 105 | 105 | 106 | 107 | 104 | 103 | 104 | 101 |
Solution:
x d = (x - Mean)
35 -13
24 -24
d2
169
576
52 4
53 5
16
25
56 8 64 58 10
52 4
100
16
50 2 4 51 3 9 49 1 1 480 980 ∴ Mean =
Coefficient of variation =
x d = (x - Mean)
35 -13
24 -24
d2
169
576
52 4
53 5
16
25
56 8 64 58 10
52 4
100
16
50 2 4 51 3 9 49 1 1 480 980 ∴ Mean =
Coefficient of variation =
Since the coefficient of variation for share Y is smaller than the coefficient of variation for shares X, they are more stable
Chapter 32 of RD Sharma's Class 11 mathematics textbook covers Statistics, a branch of mathematics dealing with data collection, analysis, interpretation, and presentation. Exercise 32.7 specifically focuses on measures of dispersion, particularly the concept of standard deviation. This exercise teaches students how to calculate and interpret standard deviation for both ungrouped and grouped data, understand its significance in statistical analysis, and apply it to solve real-world problems.