Mensuration Textbook Solution

Practice Set 6.1

  1. The following table shows the number of students and the time they utilized daily for their studies. Find the mean time spent by students for their studies by direct method.
Time (hrs.) 0 – 2 2 – 4 4 – 6 6 – 8 8 – 10
No. of students 7 18 12 10 3

Solution

Class
(Time in hours)
Class Mark
xi
Frequency
(Number of students)
fi
Class mark × Frequency
xifi 
0 – 2 1 7 7
2 – 4 3 18 54
4 – 6 5 12 60
6 – 8 7 10 70
8 – 10 9 3 27
    [sum_{} f_i = 50] [sum_{} x_i f_i = 218]

Mean = [frac{sum_{} x_i f_i}{sum_{} f_i}]

[= frac{218}{50}]

= 4.36 hours
Hence, the mean time spent by students for their studies is 4.36 hours.

2. In the following table, the toll paid by drivers and the number of vehicles is shown. Find the mean of the toll by ‘assumed mean’ method.

Toll (Rupees) 300 – 400 400 – 500 500 – 600 600 – 700 700 – 800
No. of vehicles 80 110 120 70 40

Solution

Class
(Toll in rupees)
Class Mark
xi
di = xi − A Frequency
(Number of vehicles
fi
Frequency × deviation
fi × di
300 – 400  350 −200 80 −16000
400 – 500 450 −100 110 −11000
500 – 600 550 = A 0 120 0
600 – 700 650 100 70 7000
700 – 800 750 200 40 8000
      [sum f_i = 420_{}] [sum_{} f_i d_i = – 12000]

Required Mean = [A + frac{sum_{} f_i d_i}{sum_{} f_i}]
[= 550 – frac{12000}{420}]
= 550 − 28.57
​= Rs 521.43  
Hence, the mean of toll is Rs 521.43.

3. A milk centre sold milk to 50 customers. The table below gives the number of customers and the milk they purchased. Find the mean of the milk sold by direct method.

Milk Sold (Litre) 1 – 2 2 – 3 3 – 4 4 – 5 5 – 6
No. of Customers 17 13 10 7 3

Solution:-

Class
(Milk sold in litres)
Class Mark
xi
Frequency
(Number of customers)
fi
Class mark × Frequency
fixi
1 – 2 1.5 17 25.5 
2 – 3 2.5 13 32.5
3 – 4 3.5 10 35
4 – 5 4.5 7 31.5
5 – 6 5.5 3 16.5
Total – `sumf_i` = 50 `sumf_i x_i` = 141

Mean = `(sumf_i x_i)/(sumf_i)`

= `141/50`

= 2.82 litres

Hence, the mean of the milk sold is 2.82 litres.

4. A frequency distribution table for the production of oranges of some farm owners is given below. Find the mean production of oranges by ‘assumed mean’ method.

Production
(Thousand rupees)
25 – 30 30 – 35 35 – 40 40 – 45 45 – 50
No. of Customers 20 25 15 10 10

Solution

Class
(Production in
Thousand rupees)
Class Mark
xi
di = xi − A Frequency
(Number of farm owners)
fi
Frequency × deviation
fi × di 
25 – 30  27.5 −10 20 −200
30 – 35 32.5 −5 25 −125
35- 40 37.5= A 0 15 0
40 – 45 42.5 5 10 50
45 – 50 47.5 10 10 100
      [sum f_i = 80_{}] [sum_{} f_i d_i = – 175]

Required Mean = [A + frac{sum_{} f_i d_i}{sum_{} f_i}]
[37 . 5 – frac{175}{80}]
= 37.5 − 2.19
​= 35.31 thousand rupees
= Rs 35310
Hence, the mean production of oranges is Rs 35310.

5. A frequency distribution of funds collected by 120 workers in a company for the drought affected people are given in the following table. Find the mean of the funds by ‘step deviation’ method.

Fund (Rupees) 0 – 500 500 – 1000 1000 – 1500 1500 – 2000 2000 – 2500
No. of workers 35 28 32 15 10
Class
(Production in Thousand rupees)
Class Mark
xi
di = xi − A [u_i = frac{d_i}{h}] Frequency
(Number of farm owners)
fi
Frequency × deviation
fi × ui
0 – 500  250 −1000 −2 35 −70
500 – 1000  750 −500 −1 28 −28
1000 – 1500  1250 = A 0 0 32 0
1500 – 2000  1750 500 1 15 15
2000 – 2500  2250 1000 2 10 20
[sum f_i = 120_{}] [sum_{} f_i u_i = – 63]

6. The following table gives the information of frequency distribution of weekly wages of 150 workers of a company. Find the mean of the weekly wages by ‘step deviation’ method.

Weekly wages (Rupees) 1000 – 2000 2000 – 3000 3000 – 4000 4000 – 5000
No. of workers 25 45 50 30

Solution:-

Class
(Weekly wages rupees)
Class Mark
(xi)

di = xi − A

= xi − 2500

ui = `”d”_”i”/”g”`
= `”d”_”i”/1000`
Frequency
(Number of workers)
(fi)
Frequency × deviation
(fi × ui)
1000 – 2000  1500 −1000 −1 25 −25
2000 – 3000  2500 →A 0 0 45 0
3000 – 4000  3500 1000 1 50 50
4000 – 5000  4500 2000 2 30 60
        ∑fi = 150 ∑fiui = 85

The required mean can be represented mathematically as:
$$text{Required Mean} = frac{sum_{i=1}^n f_iu_i}{sum_{i=1}^n f_i}$$
where $f_i$ is the frequency of the $i$th observation and $u_i$ is the value of the $i$th observation.
Given that $f_1=20, u_1=2000$, $f_2=30, u_2=2500$, $f_3=50, u_3=3000$, we have:
$$text{Required Mean} = frac{(20times 2000)+(30times 2500)+(50times 3000)}{20+30+50} = frac{85000}{100} = 850$$
The mean can be represented mathematically as:
$$bar{X} = A + bar{u}g$$
where $A$ is the assumed mean, $bar{u}$ is the mean deviation from the assumed mean, and $g$ is the common factor by which all values are multiplied or divided to obtain the new set of values.
Given that $A=2500$, $bar{u}=0.57$, and $g=1000$, we have:
$$bar{X} = 2500 + 0.57times 1000 = 3070$$
Therefore, the mean of the weekly wages is Rs 3070.

Practice Set 6.2

1. The following table shows classification of number of workers and the number of hours they work in a software company. Find the median of the number of hours they work.

Daily No. of hours 8 – 10 10 – 12 12 – 14 14 – 16
Number of workers 150 500 300 50

Solution

Class
(Number of working hours)
Frequency
(Number of workers)
fi
Cumulaive frequency
less than the
upper limit 
8 – 10 150 150
10 – 12
(Median Class)
500 650
12 – 14 300 950
14 – 16 50 1000
  [N = 1000]  

From the above table, we get
L (Lower class limit of the median class) = 10
N (Sum of frequencies) = 1000
h (Class interval of the median class) = 2
f (Frequency of the median class) = 500
cf (Cumulative frequency of the class preceding the median class) = 150
Now, Median = [L + left( frac{frac{N}{2} – cf}{f} right) times h]
[= 10 + left( frac{frac{1000}{2} – 150}{500} right) times 2]
[ = 10 + 1 . 4]
[ = 11 . 4text{ hours }]

>Hence, the median of the number of hours they work is 11.4 hours

2. The frequency distribution table shows the number of mango trees in a grove and their yield of mangoes. Find the median of data.

No. of Mangoes 50 – 100 100 – 150 150 – 200 200 – 250 250 – 300
No. of trees 33 30 90 80 17

Solution:-

Class
(Number of working hours)
Frequency
(Number of workers)
fi
Cumulaive frequency 
less than the
upper limit
50 – 100 33 33
100 – 150  30 63
150 – 200
(Median Class)
90 153
200 – 250 80 233
250 – 300 17 250
  N = 250  

From the above table, we get

L (Lower class limit of the median class) = 150

N (Sum of frequencies) = 250

h (Class interval of the median class) = 50

f (Frequency of the median class) = 90

cf (Cumulative frequency of the class preceding the median class) = 63

Now, Median = [L + left( frac{frac{N}{2} – cf}{f} right) times h]

[= 150 + left( frac{frac{250}{2} – 63}{90} right) times 50]

= 150 + 34.44

= 184.44 mangoes

= 184 mangoes

Hence, the median of data is 184 mangoes.

3. The following table shows the classification of number of vehicles and their speeds on Mumbai-Pune express way. Find the median of the data.

Average Speed of
Vehicles(Km/hr)
60 – 64 64 – 69 70 – 74 75 – 79 79 – 84 84 – 89
No. of vehicles 10 34 55 85 10 6

Solution:-

Class
(Number of working hours)
Continuous
classes
Frequency
(Number of workers)
 
Cumulaive frequency 
less than the
upper limit
60 – 64 59.5 – 64.5 10 10
64 – 69  64.5 – 69.5 34 44
70 – 74 69.5 – 74.5 55 99 → cf
75 – 79 74.5 – 79.5 85 → f 184
79 – 84 79.5 – 84.5 10 194
84 – 89 84.5 – 89.5 6 200
Total – N = 200 –

Here, total frequency = ∑fi = N = 200 

∴ `”N”/2 = 200/2 = 100`

Cumulative frequency which is just greater than (or equal) to 100 is 184. 

∴ The median class is 74.5 – 79.5.

Now, L = 74.5, f = 85, cf = 99, h = 5

Now, Median = [L + left( frac{frac{N}{2} – cf}{f} right) times h]

`= 74.5 + ((100 – 99)/85) xx 5`

= 74.5 + 0.059

= 74.559 ≈ 75

∴ The median of the given data is 75 km/hr (approx.).

4. The production of electric bulbs in different factories is shown in the following table. Find the median of the productions.

No. of bulbs
produced (Thousands)
30 – 40 40 – 50 50 – 60 60 – 70 70 – 80 80 – 90 90 – 100
No. of factories 12 35 20 15 8 7 8

Solution:-

Class
(Number of bulbs produced in thousands)
Frequency
(Number of factories)
fi
Cumulaive frequency
less than the
upper limit
30 – 40 12 12
40 – 50 35 47
50 – 60
(Median Class)
20 67
60 – 70 15 82
70 – 80 8 90
80 – 90 7 97
90 – 100 8 105
  N = 105  

From the above table, we get
L (Lower class limit of the median class) = 50
N (Sum of frequencies) = 105
h (Class interval of the median class) = 10
f (Frequency of the median class) = 20
cf (Cumulative frequency of the class preceding the median class) = 47
Now, Median = [L + left( frac{frac{N}{2} – cf}{f} right) times h]
[= 50 + left( frac{frac{105}{2} – 47}{20} right) times 10]
= 50 + 2.75
= 52.75 thousand lamps
= 52750 lamps 
Hence, the median of the productions is 52750 lamps.

Practice Set 6.3

1. The following table shows the information regarding the milk collected from farmers on a milk collection centre and the content of fat in the milk, measured by a lactometer. Find the mode of fat content.

Content of fat (%) 2 – 3 3 – 4 4 – 5 5 – 6 6 – 7
Milk collected (Litre) 30 70 80 60 20

The maximum class frequency is 80.
The class corresponding to this frequency is 4 – 5.
So, the modal class is 4 – 5.
L (the lower limit of modal class) =  4
f1 (frequency of the modal class) = 80 
fo (frequency of the class preceding the modal class) = 70
f2 (frequency of the class succeeding the modal class) = 60
h (class size) = 1 
Mode = [L + left( frac{f_1 – f_0}{2 f_1 – f_0 – f_2} right) times h]
[= 4 + left( frac{80 – 70}{2 times 80 – 70 – 60} right) times 1]

= 4 + 0.33
= 4.33
Hence, the modal fat content is 4.33 litres.