Parents can use S Chand ISC Maths Class 11 Solutions Chapter 21 Measures of Dispersion Ex 21(b) to provide additional support to their children.
S Chand Class 11 ICSE Maths Solutions Chapter 21 Measures of Dispersion Ex 21(b)
Question 1.
(i) Five students secured marks as ; 8, 10, 15, 30, 22. Find the standard deviation.
(ii) For a set of ungrouped values the following sums are found :
n = 15, Σx = 480, Σx2 = 15735.
Find the standard deviation.
(iii) The standard deviation of the numbers 2, 3, 11, x is 3 1/2. Calculate the values of x.
Solution:
(i)
x | X2 |
8 | 64 |
10 | 100 |
15 | 225 |
30 | 900 |
22 | 484 |
Σx = 85 | Σx2 = 1773 |
(iii)
xi | \(x_i^2\) |
2 | 4 |
3 | 9 |
11 | 121 |
x | X2 |
Σxi = 16 + x | \(\Sigma x_i^2\) = 134 + x2 |
Question 2.
Calculate the standard deviation and variance for the integers 11,12,13,…, 20.
Solution:
Given observations are 11, 12, 13, …., 20
Question 3.
Find the standard deviation of the following set of numbers :
25, 50, 45, 30, 70, 42, 36, 48, 34, 60
Solution:
xi | \(x_i^2\) |
25 | 625 |
50 | 2500 |
45 | 2025 |
30 | 900 |
70 | 4900 |
42 | 1764 |
36 | 1296 |
48 | 2304 |
34 | 1156 |
60 | 3600 |
Σxi = 440 | \(\Sigma x_i^2\) = 21070 |
Question 4.
Calculate the possible values of x, if the standard deviation of the numbers 2, 3, 2x and 11 is 3.5.
Solution:
xi | \(x_i^2\) |
2 | 4 |
3 | 9 |
2x | 4x2 |
11 | 121 |
Σxi = 16 + 2x | \(x_i^2\) = 134 + 4x2 |
Question 5.
Calculate the standard deviation for the following distribution :
Class interval | 0-4 | 4-8 | 8-12 | 12-16 |
Frequency | 4 | 8 | 2 | 1 |
Solution:
The table of values is given as under:
Class Interval | Frequency fi |
Mid-Marks xi |
\(x_i^2\) | fixi | \(f_i x_i^2\) |
0-4 | 4 | 2 | 4 | 8 | 16 |
4-8 | 8 | 6 | 36 | 48 | 288 |
8-12 | 2 | 10 | 100 | 20 | 200 |
12-16 | 1 | 14 | 196 | 14 | 196 |
Σfi = 15 | Σxi = 22 | Σfixi = 90 | Σ\(f_i x_i^2\) = 700 |
Then by direct method, we have
Question 6.
Calculate the standard deviation of the following data :
Size | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
Frequency | 6 | 12 | 15 | 28 | 29 | 14 | 15 |
Solution:
xi | fi | di = xi – A A = 7 |
fidi | di2 | fi di2 |
4 | 6 | -3 | -18 | 9 | 54 |
5 | 12 | -2 | -24 | 4 | 48 |
6 | 15 | -1 | -15 | 1 | 15 |
7 | 28 | 0 | 0 | 0 | 0 |
8 | 29 | 1 | 29 | 1 | 29 |
9 | 14 | 2 | 28 | 4 | 56 |
10 | 15 | 3 | 45 | 9 | 135 |
Σfi = 119 = N | Σ fidi = 45 | Σ fi di2 = 337 |
Then by short cut method, we have
Question 7.
Calculate the standard deviation of the following data:
Class interval | 0-6 | 6-12 | 12-18 | 18-24 | 24-30 | 30-36 | 36-40 |
Frequency | 19 | 25 | 36 | 72 | 51 | 43 | 28 |
Solution:
Class Intervals | frequency fi | xi | di = xi – A A = 21 |
fidi | di2 | fi di2 |
0-6 | 19 | 3 | – 18 | -342 | 324 | 6156 |
6-12 | 25 | 9 | – 12 | -300 | 144 | 3600 |
12-18 | 36 | 15 | -6 | -216 | 36 | 1296 |
18-24 | 72 | 21 | 0 | 0 | 0 | 0 |
24-30 | 51 | 27 | 6 | 360 | 36 | 1836 |
30-36 | 43 | 33 | 12 | 516 | 144 | 6192 |
36-40 | 28 | 38 | 17 | 476 | 289 | 8092 |
Σfi = 274 | Σ fidi = 440 | Σ fi di2 = 27172 |
By short cut method, we have
Question 8.
Calculate the standard deviation for the following data giving the age distribution of persons.
Age in years | 20-30 | 30-40 | 40-50 | 50-60 | 60-70 | 70-80 | 80-90 |
No. of persons | 3 | 61 | 132 | 153 | 140 | 51 | 2 |
Solution:
Same age be continuous variable
age in (years) | Actual limits | No. of persons fi | xi | di = xi = 54.5 | ui = \(\frac{d_i}{2}\)
i = 10 |
fiui | fiui2 |
20-30 | 19.5-29.5 | 3 | 24.5 | -30 | -3 | -9 | 27 |
30-40 | 29.5 – 39.5 | 31 | 34.5 | -20 | – 1 | – 122 | 244 |
40-50 | 39.5 -49.5 | 132 | 44.5 | – 10 | -2 | – 132 | 132 |
50-60 | 49.5 – 59.5 | 153 | 54.5 | 0 | 0 | 0 | 0 |
60-70 | 59.5 – 69.5 | 140 | 64.5 | 10 | 1 | 140 | 140 |
70-80 | 69.5 – 79.5 | 51 | 74.5 | 20 | 2 | 102 | 204 |
80-90 | 79.5-89.5 | 2 | 84.5 | 30 | 3 | 6 | 18 |
Σfi = 54.2 | Σ fiui = – 15 | Σ fiui2 = 765 |
Then by step deviation method, we have
Question 9.
The heights, to the nearest cm, of 30 men are given below :
159 | 170 | 174 | 173 | 175 | 160 | 161 | 164 | 163 | 165 |
164 | 171 | 162 | 170 | 177 | 185 | 181 | 180 | 175 | 165 |
186 | 174 | 168 | 168 | 176 | 176 | 165 | 175 | 167 | 180 |
Using class intervals 155-160, 160-165,… draw up a grouped frequency distribution and use this to estimate the Arithmetic mean and standard deviation.
Solution:
Table of values for given data is given as under :
Class intervals | Class Marks xi | fi | di = xi – A A = 172.5 |
ui = di/C C = 5 |
fiui | fiui2 |
155-160 | 157.5 | 1 | – 15 | -3 | -3 | 9 |
160-165 | 162.5 | 6 | – 10 | -2 | – 12 | 24 |
165-170 | 167.5 | 6 | -5 | -1 | -6 | 6 |
170-175 | 172.5 | 6 | 0 | 0 | 0 | 0 |
175-180 | 177.5 | 6 | 5 | 1 | 6 | 6 |
180-185 | 182.5 | 3 | 10 | 2 | 6 | 12 |
185-190 | 187.5 | 2 | 15 | 3 | 6 | 18 |
Σfi = 30 | Σfiui = – 3 | Σ fiui2 = 75 |
Question 10.
Find the mean and the standard deviation from the following :
Wages (in ₹) | 120-200 | 200-210 | 210-220 | 220-230 |
No. of workers | 10 | 12 | 18 | 20 |
Wages (in ₹) | 230-240 | 240-250 | 250-260 | 260-270 |
No. of workers | 25 | 18 | 16 | 5 |
Solution:
Wages (in ₹) | No. of workers fi | xi | di – xi – A A = 225 |
di2 | fidi | fidi2 |
120-200 | 10 | 160 | -65 | 4225 | -650 | 42250 |
200-210 | 12 | 205 | -20 | 400 | -240 | 4800 |
210-220 | 18 | 215 | -10 | 100 | -180 | 1800 |
220 – 230 | 20 | 225 | ‘ 0 | 0 | 0 | 0 |
230-240 | 25 | 235 | 10 | 100 | 250 | 2500 |
240-250 | 18 | 245 | 20 | 400 | 360 | 7200 |
250 – 260 | 16 | 255 | 30 | 900 | 480 | 14400 |
260-270 | 5 | 265 | 40 | 1600 | 200 | 8000 |
Σfi = 124 | Σ fidi = 220 | Σ fidi2 = 80950 |
Question 11.
The following table shows the I.Q. of 480 school children. Find
(i) the mean.
(ii) the standard deviation using the step deviation method. Use Chrlier’s check to verify the computation of the standard deviation.
X | 70 | 74 | 78 | 82 | 86 | 90 | 94 | 98 | 102 | 106 | 110 | 114 | 118 | 122 | 126 |
f | 4 | 9 | 16 | 28 | 45 | 66 | 85 | 72 | 54 | 38 | 27 | 18 | 11 | 5 | 2 |
Solution:
The table of values is given as under :
xi | fi | di = xi – A A = 98 |
\(\frac{d_i}{i}\) = ui I = 4 | ui2 | fiui | fiui2 |
70 | 4 | -28 | -7 | 49 | -28 | 196 |
74 | 9 | -24 | -6 | 36 | -54 | 324 |
78 | 16 | -20 | -5 | 25 | -80 | 400 |
82 | 28 | – 16 | -4 | 16 | – 112 | 448 |
86 | 45 | – 12 | -3 | 9 | -135 | 405 |
90 | 66 | -8 | -2 | 4 | – 132 | 264 |
94 | 85 | -4 | -1 | 1 | -85 | 85 |
98 | 72 | 0 | 0 | 0 | 0 | 0 |
102 | 54 | 4 | 1 | 1 | 54 | 54 |
106 | 38 | 8 | 2 | 4 | 76 | 152 |
110 | 27 | 12 | 3 | 9 | 81 | 243 |
114 | 18 | 16 | 4 | 16 | 72 | 288 |
118 | 11 | 20 | 5 | 25 | 55 | 275 |
122 | 5 | 24 | 6 | 36 | 30 | 180 |
126 | 2 | 28 | 7 | 49 | 14 | 98 |
Σfi = 480 | Σfiui = -244 | Σ fiui2 = 3412 |
Question 12.
In a certain test, the 30 scores were grouped as follows :
30-34 | 35-39 | 40-44 | 45-49 | 50-54 | 55-59 | 60-64 |
2 | 2 | 7 | 10 | 6 | 2 | 1 |
Calculate the mean and the standard deviation:
Solution:
The table of values is given as under:
Intervals | frequency | xi | di = xi – 47 | ui = \(\frac{d_i}{5}\) | fiui | fiui2 |
30-34 | 2 | 32 | -15 | -3 | -6 | 18 |
35-39 | 2 | 37 | – 10 | -2 | -4 | 8 |
40-44 | 7 | 42 | -5 | -1 | -7 | 7 |
45-49 | 10 | 47 | 0 | 0 | 0 | 0 |
50-54 | 6 | 52 | 5 | 1 | 6 | 6 |
55-59 | 2 | 57 | 10 | 2 | 4 | 8 |
60-64 | 1 | 62 | 15 | 3 | 3 | 9 |
Σfi = 30 | Σfiui = – 4 | Σfiui2 = 56 |
Then by step deviation method, we have
Question 13.
The number of faults on the surface of each of 1000 tiles were distributed as follows :
No. of faults | 0 | 1 | 2 | 3 | 4 | 5 |
Frequency | 760 | 138 | 67 | 25 | 8 | 2 |
Calculate the mean and the standard deviation.
Solution:
The table of values is given as under :
xi | fi | fixi | fixi2 |
0 | 760 | 0 | 0 |
1 | 138 | 138 | 138 |
2 | 67 | 134 | 268 |
3 | 25 | 75 | 225 |
4 | 8 | 32 | 128 |
5 | 2 | 10 | 50 |
Σfi = 1000 | Σ fixi = 389 | Σ fixi2 = 809 |
Question 14.
The mean and the standard deviation of 25 observations and 60 and 3. Later on it was decided to omit an observation which was incorrectly recorded as 50. Calculate the mean and the standard deviation of the remaining 24 observations.
Solution:
Question 15.
The scores of two golfers for 10 rounds each are:
A | 58 | 59 | 60 | 54 | 65 | 66 | 52 | 75 | 69 | 52 |
B | 84 | 56 | 92 | 65 | 86 | 78 | 44 | 54 | 78 | 68 |
Which may be regarded as the more consistent player ?
Solution:
For golfer A ; no. of observations = 10
and Sum of all observations = 58 + 59 + 60 + 54 + 65 + 66 + 52 + 75 + 69 + 52 = 610
∴Mean \(\overline{\mathrm{x}}\) = \(\frac { Sum of all observations }{ 10 }\) = \(\frac { 610 }{ 10 }\) = 61
For golfer B : Sum of all observations = 84 + 56 + 92 + 65 + 86 + 78 + 44 + 54 + 78 + 68 = 705
∴Mean \(\overline{\mathrm{Y}}\) = \(\frac { Sum of all observations }{ 10 }\) = \(\frac { 705 }{ 10 }\) = 70.5
We construct the table of values is given as under :
X | Y | (X-\(\bar{X}\)) | (X-\(\bar{X}\))2 | Y-\(\bar{Y}\) | (Y-\(\bar{Y}\))2 |
58 | 84 | -3 | 9 | 13.5 | 182.25 |
59 | 56 | -2 | 4 | – 14.5 | 210.25 |
60 | 92 | – 1 | 1 | 21.5 | 462.25 |
54 | 65 | -7 | 49 | -5.5 | 30.25 |
65 | 86 | 4 | 16 | 15.5 | 240.25 |
66 | 78 | 5 | 25 | 7.5 | 56.25 |
52 | 44 | -9 | 81 | -26.5 | 702.25 |
75 | 54 | 14 | 196 | -16.5 | 272.25 |
69 | 78 | 8 | 64 | 7.5 | 56.25 |
52 | 68 | -9 | 81 | -2.5 | 6.25 |
I (X-\(\bar{X}\))2 =526 | E(X-\(\bar{X}\))2 =2218.50 |
Question 16.
Goals scored by two teams A and B in a football season were as follows :
Number of goods scored in a match | Number of Matches | |
A | B | |
0 | 27 | 17 |
1 | 9 | 9 |
2 | 8 | 6 |
3 | 5 | 5 |
4 | 4 | 3 |
By calculating the coefficient of variation in each case find which team may be considered more consistent.
Solution:
The table of values is given as under :
xi | fA | fB | fAxi | fBxi | fA xi2 | fB xi2 |
0 | 27 | 17 | 0 | 0 | 0 | 0 |
1 | 9 | 9 | 9 | 9 | 9 | 9 |
2 | 8 | 6 | 16 | 12 | 32 | 24 |
3 | 5 | 5 | 15 | 15 | 45 | 45 |
4 | 4 | 31 | 16 | 12 | 64 | 48 |
Σ fA = 53 | Σ fB = 40 | Σ fAxi = 56 | Σ fBxi = 48 | Σ fA xi2 = 150 | Σ fB xi2 = 126 |
Question 17.
The mean of the numbers a, b, 8, 5, 10 is 6 and the variance is 6.80. Then which one of the following gives possible values of a and b ?
(a) a = 0, b = 7
(b) a = 5, b = 2
(c) a = l, b = 6
(d) a = 3, b = 4
Solution:
Given observations are a, b, 8, 5 and 10 ∴ no. of observations = n = 5, \(\overline{\mathrm{x}}\) = 6, \(\sigma^2\) = 6.80
∴ Mean = \(\frac { Sum of all given observations }{ n }\) ⇒ 6 = \(\frac { a+b+8+5+10 }{ 5 }\)
⇒ 30 = a + b + 23
⇒ a + b = 7
From (1) and (2); we have
a2 + (7 – a)2 = 25
⇒ 2a2 – 10a + 24 = 0
⇒ a2 – 7a + 12 = 0
⇒ (a – 3)(a – 4) = 0
⇒ a = 3, 4
When a = 3 ∴ from (1); b = 4
When a = 4 ∴ from (1); b = 3
∴ Ans. (d)