Effective S Chand ISC Maths Class 11 Solutions Chapter 20 Measures of Central Tendency Ex 20(a) can help bridge the gap between theory and application.
S Chand Class 11 ICSE Maths Solutions Chapter 20 Measures of Central Tendency Ex 20(a)
Question 1.
Find the mean of :
(i) the first 6 natural numbers.
(ii) the first ten odd natural numbers.
(iii) the first eight even natural numbers.
(iv) x, x + 2, x + 3, x + 6 and x + 9.
(v) Squares of the first n natural numbers.
(vi) Squares of the first 10 natural numbers.
(vii) Cubes of first n even natural numbers.
Solution:
(i) First six natural numbers are ; 1, 2, 3, 4, 5, 6
∴ required mean = \(\frac{1+2+3+4+5+6}{6}\) = \(\frac{21}{6}\) = \(\frac{7}{2}\)
(ii) First ten add natural numbers are = 1, 3, 5, 7, 9, 11, 13, 15, 17, 19
∴ required mean = \(\frac{Sum of all observations}{No. of observations}\) = \(\frac{1+3+5+7+9+11+13+15+17+19}{10}\) = \(\frac{100}{10}\) = 10
(iii) First eight even natural numbers are ; 2, 4, 6, 8, 10, 12, 14, 16
∴ required mean = \(\frac{2+4+6+8+10+12+14+16}{8}\) = \(\frac{72}{8}\) = 9
(iv) Required mean = \(\frac{Sum of all observations}{No. of observations}\) = \(\frac{x+x+2+x+3+x+6+x+9}{5}\) = \(\frac{5 x+20}{5}\) = \(\frac{5(x+4)}{5}\) = x + 4
(v) Squares of first n natural numbers are ; 12, 22, 32,…, n2
∴ required mean = \(\frac{1^2+2^2+\ldots+n^2}{n}\) = \(\frac{\sum n^2}{n}\) = \(\frac{n(n+1)(2 n+1)}{6 n}\) = \(\frac{(n+1)(2 n+1)}{6}\)
(vi) Squares of first 10 natural numbers are ; 12, 22, 32,…, 102
(vii) Class of first n even natural numbers are 23, 43, 63,…, (2n)3
∴ required mean = \(\frac{2^3+4^3+6^3+\ldots+(2 n)^3}{n}\) = \(\frac{2^3\left[1^3+2^3+3^3+\ldots .+n^3\right]}{n}\) = \(\frac{8 \Sigma n^3}{n}\) = \(\frac{8 n^2(n+1)^2}{4 n}\) = 2n(n + 1)2
Question 2.
(i) Find the mean of the following sets of numbers :
(a) 2.5, 2.4, 3.5, 2.8, 2.9, 3.3, 3.6
(b) -6, -2, -1, 0, 1, 2, 5, 9.
(ii) The mean of the numbers 6, y, 7, x, 14 is 8. Express y in terms of x.
Solution:
(i) (a) Required mean = \(\frac{2.5+2.4+3.5+2.8+2.9+3.3+3.6}{7}\) = \(\frac{21}{7}\) = 3
(b) Required Mean = \(\frac{(-6)+(-2)+(-1)+0+1+2+5+9}{8}\) = \(\frac{8}{8}\) = 1
(ii) Q. 4 on P-744 (understanding)
Question 3.
Duration of sunshine (in hours) in Delhi for first ten days of month as reported by Meteorological department are as under:
5.1, 4.7, 6.1, 1.7, 5.4, 5.0, 11.7, 11.6, 11.9, 3.2
(i) Calculate \(\bar{x}\);
(ii) Check \(\sum_{i=1}^{10}\left(x_i-\bar{x}\right)\) = 0.
Solution:
Given observations are ; 5.1, 4.7, 6.1, 1.7, 5.4, 5.0, 11.7, 11.6, 11.9, 3.2
Here n = 10
(i) ∴ \(\bar{x}\) = \(\frac{\Sigma x}{n}\) = \(\frac{5.1+4.7+6.1+1.7+5.4+5.0+11.7+11.6+11.9+3.2}{10}\) = \(\frac{332}{50}\) = 6.64
(ii) \(\sum_{i=1}^{10}\left(x_i-\bar{x}\right)\) = \(\sum_{i=1}^{10} x_i-\sum_{i=1}^{10} \bar{x}\) = (x1 + x2 + ….. + x10) = 10\(\bar{x}\) = 66.4 – 10 × 6.64 = 66.4 – 66.4 = 0
Question 4.
M being the mean of x1, x2, x3, x4, x5 and x6. Find the value of \(\sum_{i=1}^6\left(x_i-M\right)\).
Solution:
Given observations are x1, x2, x3, x4, x5 and x6
∴ Mean = M = \(\frac{x_1+x_2+x_3+x_4+x_5+x_6}{6}\) ⇒ x1 + x2 + x3 + x4 + x5 + x6 6M …(1)
∴ \(\sum_{i=1}^6\left(x_i-\mathrm{M}\right)\) = (x1 – M) + (x2 – M) + (x3 – M) + (x4 – M) + (x5 – M) + (x6 – M)
= (x1 + x2 + x3 + x4 + x5 + x6) – 6M = 6M – 6M = 0
Question 5.
Find the mean of the following frequency distributions :
(i)
X | 19 | 21 | 23 | 25 | 27 | 29 | 31 |
f | 13 | 15 | 16 | 18 | 16 | 15 | 13 |
(ii)
X | 2.5 | 7.5 | 12.5 | 17.5 | 22.5 |
f | 4 | 5 | 7 | 12 | 7 |
Solution:
(i) The table of values is given as under :
x | f | d = x – 25 A = 25 |
fd |
19 | 13 | -6 | -68 |
21 | 15 | -4 | -60 |
23 | 16 | -2 | -32 |
25 | 18 | 0 | 0 |
27 | 16 | 2 | 32 |
29 | 15 | 4 | 50 |
31 | 13 | 6 | 78 |
N = Σf = 106 | Σfd = 0 |
Then by short-cut method, we have required mean = \(\bar{x}\) = A + \(\frac{\Sigma f d}{\Sigma f}\) = 25 + \(\frac{0}{106}\) = 25
(ii) The table of values is given as under :
x | f | d = x – A A = 12.5 |
fd |
2.5 | 4 | -10 | -40 |
7.5 | 5 | -5 | -25 |
12.5 | 7 | 0 | 0 |
17.5 | 12 | 5 | 60 |
22.5 | 7 | 10 | 70 |
27.5 | 5 | 15 | 75 |
Σf = 40 | Σfd = 140 |
Then by short-cut method, we have required Mean = \(\bar{x}\) = \(\frac{\Sigma f d}{\Sigma f}\) = 12.5 + \(\frac { 140 }{ 40 }\) = 12.5 + 3.5 = 16
Question 6.
Calculate the mean of the following data by short cut method :
x | 2.5 | 7.5 | 12.5 | 17.5 | 22.5 |
f | 4 | 5 | 7 | 12 | 7 |
Solution:
The table of values is given as under :
x | f | d = x – A A = 12.5 |
fd |
2.5 | 4 | -10 | -40 |
7.5 | 5 | -5 | -25 |
12.5 | 7 | 0 | 0 |
17.5 | 12 | 5 | 60 |
22.5 | 7 | 10 | 70 |
27.5 | 5 | 15 | 75 |
Σf = 40 | Σfd = 140 |
Then by short-cut method, we have
required Mean = \(\bar{x}\) = A + \(\frac{\Sigma f d}{\Sigma f}\) = 12.5 + \(\frac{140}{40}\) = 12.5 + 3.5 = 16
Question 7.
Calculate by step-deviation method, the arithmetic mean of the following marks obtained by students in English.
Marks | 5 | 10 | 15 | 20 | 25 | 30 | 35 | 40 | 45 | 50 |
No. of students | 20 | 43 | 75 | 67 | 72 | 45 | 39 | 9 | 8 | 6 |
Solution:
The table of values is given as under :
X | f | d = x – A A = 25 |
Ui = d/i i = 5 |
fu |
5 | 20 | -20 | -4 | -80 |
10 | 43 | -15 | -3 | – 129 |
15 | 75 | -10 | -2 | – 150 |
20 | 67 | -5 | – 1 | -67 |
25 | 72 | 0 | 0 | 0 |
30 | 45 | 5 | 1 | 45 |
35 | 39 | 10 | 2 | 78 |
40 | 9 | 15 | 3 | 27 |
45 | 8 | 20 | 4 | 32 |
50 | 6 | 25 | 5 | 30 |
Σf = 384 | Σfu = – 214 |
Then by step deviation method, we have Mean \(\bar{x}\) = A + \(\frac{\Sigma f u}{\Sigma f}\) × i = 25 – \(\frac{214}{384}\) × 5 = 22.21
Question 8.
The frequency distribution of marks obtained by 40 students of a class is as under. Calculate the Arithmetic Mean.
Marks | 0-8 | 8-16 | 16-24 | 24-32 | 32-40 | 40-48 |
Students | 6 | 3 | 10 | 16 | 4 | 2 |
Solution:
The table of values is given as under :
Marks | Frequency fi |
Class Marks xi |
di= Xi – A A = 20 |
Ui = di/8 i = 8 |
fiui |
0-8 | 5 | 4 | – 16 | -2 | – 10 |
8-16 | 3 | 12 | -8 | – 1 | -3 |
16-24 | 10 | 20 | 0 | 0 | 0 |
24-32 | 16 | 28 | 8 | 1 | 16 |
32-40 | 4 | 36 | 16 | 2 | 8 |
40-48 | 2 | 44 | 24 | 3 | 6 |
Σfi = 40 | Σfiui = 17 |
Then by step deviation method,
Mean \(\bar{x}\) = A + \(\frac{\Sigma f_i u_i}{\Sigma f_i}\) × i = 20 + \(\frac{17}{40}\) × 8 = 20 + 3.4 = 23.4
Question 9.
Compute the mean of the following frequency table by :
(i) direct method and
(ii) short-cut method
Class | Frequency | Class | Frequency |
5-10 | 10 | 30-35 | 4 |
10-15 | 6 | 35-40 | 2 |
15-20 | 4 | 45-45 | 1 |
20-25 | 12 | 45-50 | 3 |
25-30 | 8 |
Solution:
The table of values is given as under :
Class | frequency fi |
Mid Marks xi |
fixi | di = Xi – A A = 27.5 |
ui = \(\frac{d_i}{i}\)
i = 5 |
fidi |
5-10 | 10 | 7.5 | 75 | -20 | -4 | -200 |
10-15 | 6 | 12.5 | 75 | – 15 | -3 | -90 |
15-20 | 4 | 17.5 | 70 | – 10 | -2 | -40 |
20-25 | 12 | 22.5 | 270 | -5 | – 1 | -60 |
25-30 | 8 | 27.5 | 220 | 0 | 0 | 0 |
30-35 | 4 | 32.5 | 130 | 5 | 1 | 20 |
35-40 | 2 | 37.5 | 75 | 10 | 2 | 20 |
40-45 | 1 | 42.5 | 42.5 | 15 | 3 | 15 |
45-50 | 3 | 47.5 | 142.5 | 20 | 4 | 60 |
Σfi = 50 | Σfixi = 1100 | Σfidi = – 275 |
(i) By direct method \(\bar{x}\) = \(\frac{\Sigma f_i x_i}{\Sigma f_i}\) = 22
(ii) By short cut method, \(\bar{x}\) = A + \(\frac{\Sigma f_i d_i}{\Sigma f_i}\) = 27.5 – \(\frac { 275 }{ 50 }\) = 27.5 – 5.5 ⇒ \(\bar{x}\) = 22
Question 10.
In a city, the following weekly observations were made in a study of cost of living index for year 1970-71.
Cost of living index | 140-150 | 150-160 | 160-170 | 170-180 | 180-190 | 190 – 200 |
Number of weeks | 5 | 10 | 18 | 9 | 6 | 4 |
(i) Calculate the average weekly cost of living index.
(ii) Verify Σfi (xi – \(\bar{x}\)) = 0, where x is the mid-value.
Solution:
The table of values is given as under :
Cost of living Index | No. of weeks fi |
Mid-Marks xi |
fixi | xi – \(\bar{x}\) | fi (xi – \(\bar{x}\)) |
140-150 | 5 | 145 | 725 | -22.5 | – 112.5 |
150-160 | 10 | 155 | 1550 | -12.5 | – 125 |
160- 170 | 18 | 165 | 2970 | -2.5 | -45 |
170-180 | 9 | 175 | 1575 | 7.5 | 67.5 |
180-190 | 6 | 185 | 1110 | 17.5 | 105 |
190-200 | 4 | 195 | 780 | 27.5 | 110 |
Σfi = 52 | Σfixi = 8710 | Σfi (xi – \(\bar{x}\)) = 0 |
(i) ∴ Mean \(\bar{x}\) = \(\frac{\Sigma f_i x_i}{\Sigma f_i}\) = \(\frac { 8710 }{ 52 }\) = 167.5
(ii) ∴Σfi (xi – \(\bar{x}\)) = 0
Question 11.
Calculate the mean by step-deviation method for the following data :
Height (in cm) | No. of boys | Height (in cm) | No. of boys |
135-140 | 4 | 155-160 | 24 |
140 -145 | 9 | 160-165 | 10 |
145-150 | 18 | 165-170 | 5 |
150-155 | 28 | 170-175 | 2 |
Solution:
The table of values is given as under :
Height (in cm) | No. of boys fi |
Mid-Marks xi |
di = xi – A A = 152.5 |
ui = \(\frac{d_i}{i}\) i = 5 |
fiui |
135-140 | 4 | 137.5 | – 15 | -3 | – 12 |
140-145 | 9 | 142.5 | – 10 | -2 | – 18 |
145-150 | 18 | 147.5 | -5 | – 1 | – 18 |
150-155 | 28 | 152.5 | 0 | 0 | 0 |
155-160 | 24 | 157.5 | 5 | 1 | 24 |
160-165 | 10 | 162.5 | 10 | 2 | 20 |
165-170 | 5 | 167.5 | 15 | 3 | 15 |
170-175 | 2 | 172.5 | 20 | 4 | 8 |
Σfi=100 | Σfiui = 19 |
Then by step deviation method, we have
\(\bar{x}\) = A + \(\frac{\Sigma f_i u_i}{\Sigma f_i}\) × i = 152.5 + \(\frac { 19 }{ 100 }\) × 5 = 152.5 + 0.95 = 153.45
Question 12.
Given:
Variable | 20 | 19 | 18 | 17 | 16 | 15 | 14 | 13 | 12 | 11 |
Frequency | 1 | 2 | 4 | 8 | 11 | 10 | 7 | 4 | 2 | 1 |
Find the mean variable by taking 11 as the assumed mean, and verify by the direct method.
Solution:
The table of values is given as under:
Variable xi |
Frequency fi |
fixi | di = xi – A A = 15 |
fidi |
20 | 1 | 20 | 5 | 5 |
19 | 2 | 38 | 4 | 8 |
18 | 4 | 72 | 3 | 12 |
17 | 8 | 136 | 2 | 16 |
16 | 11 | 176 | 1 | 11 |
15 | 10 | 150 | 0 | 0 |
14 | 7 | 98 | – 1 | -7 |
13 | 4 | 52 | -2 | -8 |
12 | 2 | 24 | -3 | -6 |
11 | 1 | 11 | -4 | -4 |
Σfi = 50 | Σfixi = 777 | Σfidi = 27 |
Then by direct method, \(\bar{x}\) = \(\frac{\Sigma f_i x_i}{\Sigma f_i}\) = \(\frac{777}{50}\) = 15.54
By short at method, mean \(\bar{x}\) = A + \(\frac{\Sigma f_i d_i}{\Sigma f_i}\) = 15 + \(\frac{27}{50}\) = 15.54
Question 13.
The following table shows the distribution of orders of a firm, according to their value :
Value | Under ?10 | ? 10 and Under ?20 | ? 20 and Under ?30 | ? 30 and Under ?40 | ? 40 and Under ? 50 | ? 50 and Under ? 60 | ? 60 and Under ? 70 |
No. of buyers | 245 | 383 | 205 | 89 | 47 | 21 | 10 |
Estimate (i) the total turnover, (ii) the mean value of a single order.
Solution:
The table of values is given as under :
Classes | No. of buyers fi |
Mid-value xi |
fixi |
0-10 | 245 | 5 | 1225 |
10-20 | 383 | 15 | 5745 |
20-30 | 205 | 25 | 5125 |
30-40 | 89 | 35 | 3115 |
40-50 | 47 | 45 | 2115 |
50-60 | 21 | 55 | 1155 |
60-70 | 10 | 65 | 650 |
Σfi = 1000 | Σfixi = 19140 |
∴ required turn over = Σfixi = 19140
Thus, required mean value = \(\frac{\Sigma f_i x_i}{\Sigma f_i}\) = \(\frac{19140}{1000}\) = 19.14
Question 14.
The mean of the following data is 20.5. Find the missing frequency.
x | 10 | 15 | 20 | 25 | 30 |
f | 5 | 7 | ••• | 12 | 6 |
Solution:
Let the missing frequency be f1
The table of values is given as under :
X | f | fx |
10 | 5 | 50 |
15 | 7 | 105 |
20 | f1 | 20f1 |
25 | 12 | 300 |
30 | 6 | 180 |
Σf = 30 + f1 | Σfx = 635 + 20f1 |
∴ by direct method, Mean = \(\frac{\Sigma f x}{\Sigma f}\) ⇒ Mean = \(\frac{635+20 f_1}{30+f_1}\)
Also given mean be 20.5.
∴ 20.5 = \(\frac{635+20 f_1}{30+f_1}\)
⇒ 20.5 = (30 + f1) = 635 + 20f1
⇒ 615 + 20.5 f1 = 625 + 20f1
⇒ 0.5 f1 = 20 ⇒ f1 = 40
Hence the required missing frequency be 40.
Question 15.
The mean of 40 observations was 160. It was detected on re-checking that the value 125 was wrongly copied as 165 for the computation of the mean. Find the
correct mean.
Solution:
Given no. of observation = 40
Question 16.
The mean of the following frequency table is 50. But the frequencies f1 and f2 in classes 20 – 40 and 60 – 80 are missing. Find the missing frequencies.
Class | 0-20 | 20-40 | 40-60 | 60-80 | 80 -100 | |
Frequency | 19 | f1 | 32 | f2 | 19 | (Total 120) |
Solution:
Class | frequency fi |
Mid-class xi |
fixi |
0-20 | 19 | 10 | 190 |
20-40 | f1 | 30 | 30f1 |
40-60 | 32 | 50 | 1600 |
60-80 | f2 | 70 | 70f2 |
80-100 | 19 | 90 | 1710 |
Total | 70 + f1 + f2 = Σf | Σfixi = 3500 + 30f1 + 70f2 |
Given Σfi = 120 ⇒ 120 = 70 + f1 + f2 ⇒ f1 + f2 = 50 …(1)
By direct method, we have
Mean = \(\frac{\Sigma f_i x_i}{\Sigma f_i}\) ⇒ 50 = \(\frac{3500+30 f_1+70 f_2}{120}\) ⇒ 3500 + 30f1 + 70f2 = 6000
⇒ 30f1 + 70f2 = 2500 ⇒ 3f1 + 7f2 = 250 …(2)
On solving eqn. (1) by eqn. (2); we have
4f2 = 100 ⇒ f2 = 25 and f1 = 25
Question 17.
The mean of 30 values was 150. It was detected on re-checking that the value 165 was wrongly copied as 135 for the computation of the mean. Find the correct mean.
Solution:
Given no. of observations = 30
Question 18.
The sum of deviation of set of values x1, x2,…, xn measured from 50 is – 10 and the sum of deviation of values from 46 is 70. Find the value of n and the mean.
Solution: