Find the mean deviation about the mean for the data in Exercises 1 and 2.
1. 4, 7, 8, 9, 10, 12, 13, 17
2. 38, 70, 48, 40, 42, 55, 63, 46, 54, 44
Solution : 1. We arrange the data in ascending order :
4, 7, 8, 9, 10, 12, 13, 17
We know that , Mean of deviations
|
|
4 |
|4 – 10| = 6 |
7 |
|7 – 10| = 3 |
8 |
|8 – 10| = 2 |
9 |
|9 – 10| = 1 |
10 |
|10 – 10| = 0 |
12 |
|12 – 10| = 2 |
13 |
|13 – 10| = 3 |
17 |
|17 – 10| = 7 |
|
|
M.D .
2. We arrange the data in ascending order :
38 , 40 , 42 , 44 , 46 , 48 , 54 , 55 , 63 , 70
We know that , Mean of deviations
|
|
38 |
|38 – 50| = 12 |
40 |
|40– 50| = 10 |
42 |
|42 – 50| = 8 |
44 |
|44 – 50| = 6 |
46 |
|46 – 50| = 4 |
48 |
|48 – 50| = 2 |
54 |
|54 – 50| = 4 |
55 |
|55 – 50| = 5 |
63 |
|63 – 50|=13 |
70 |
|70 – 50| = 20 |
|
|
M.D .
3. Find the mean deviation about the median for the data in Exercises 3 and 4.
13, 17, 16, 14, 11, 13, 10, 16, 11, 18, 12, 17
Solution : 3. We arrange the data in ascending order :
10 , 11 , 11 , 12 , 13 , 13 , 14 , 16 , 16 , 17 , 17 , 18
Here , (Even)
Median (M)
|
| |
10 11 11 12 13 13 14 16 16 17 17 18 |
|10 – 13.5|= 3.5 |11– 13.5| = 2.5 |11– 13.5| = 2.5 |12– 13.5| = 1.5 |13– 13.5| = 0.5 |13– 13.5| = 0.5 |14– 13.5| = 0.5 |16– 13.5| = 2.5 |16– 13.5| = 2.5 |17– 13.5| = 3.5 |17– 13.5| = 3.5 |18– 13.5| = 4.5 |
|
|
M.D. (M)
4. Find the mean deviation about the median for the data in Exercises 3 and 4.
36, 72, 46, 42, 60, 45, 53, 46, 51, 49
Solution : We arrange the data in ascending order :
36 , 42 , 45 , 46 , 46 , 49 , 51 , 53 , 60 , 72
Here , (Even)
Median (M)
|
|
36 42 45 46 46 49 51 53 60 72 |
|36 – 47.5| = 11.5 |42 – 47.5| = 5.5 |45 – 47.5| = 2.5 |46 – 47.5| = 1.5 |46 – 47.5| = 1.5 |49 – 47.5| = 1.5 |51 – 47.5| = 3.5 |53 – 47.5| = 5.5 |60 – 47.5| = 12.5 |72 – 47.5| = 24.5 |
|
|
M.D.(M)
5. Find the mean deviation about the mean for the data in Exercises 5 and 6.
: 5 10 15 20 25
: 7 4 6 3 5
Solution : 5.
|
|
|
|
|
5 10 15 20 25 |
7 4 6 3 5 |
35 40 90 60 125 |
|5 – 14| = 9 |10 – 14| = 4 |15 – 14| = 1 |20 – 14| = 6 |25 – 14| = 11 |
63 16 6 18 55 |
|
|
|
|
158 |
Mean
M.D.
6. Find the mean deviation about the mean for the data in Exercises 5 and 6.
: 10 30 50 70 90
: 4 24 28 16 8
Solution : We have,
|
|
|
|
|
10 30 50 70 90 |
4 24 28 16 8 |
40 720 1400 1120 720 |
|10– 50| = 40 |30 – 50| = 20 |50 – 50| = 0 |70 – 50| = 20 |90 – 50| = 40 |
160 480 0 320 320 |
|
|
|
|
1280 |
Mean
M.D.
7.Find the mean deviation about the median for the data in Exercises 7 and 8.
: 5 7 9 10 12 15
: 8 6 2 2 2 6
Solution : We have,
|
|
C.F. |
|
|
5 7 9 10 12 15 |
8 6 2 2 2 6 |
8 14 16 18 20 26 |
|5 – 7| = 2 |7 – 7| = 0 |9 – 7| = 2 |10 – 7| = 3 |12 – 7| = 5 |15 – 7| = 8 |
16 0 4 6 10 48 |
|
|
|
84 |
Here , (even)
Median (M)
M.D. (M)
8. Find the mean deviation about the median for the data in Exercises 7 and 8.
: 15 21 27 30 35
: 3 5 6 7 8
Solution : We have,
|
|
C.F. |
|
|
15 21 27 30 35 |
3 5 6 7 8 |
3 8 14 21 29 |
|15 – 30| = 15 |21 – 30| = 9 |27 – 30| = 3 |30 – 30| = 0 |35 – 30| = 5 |
45 45 18 0 40 |
|
|
|
|
148 |
Here , (odd)
Median (M)
M.D. (M)
9.Find the mean deviation about the mean for the data in Exercises 9 and 10.
Income per day (in Rs) |
Number of persons |
0 – 100 |
4 |
100 – 200 |
8 |
200 – 300 |
9 |
300 – 400 |
10 |
400 – 500 |
7 |
500 – 600 |
5 |
600 – 700 |
4 |
700 – 800 |
3 |
Solution : We have ,
Income per day |
Mid-points () |
No. of Students () |
|
|
|
0 – 100 100 – 200 200 – 300 300 – 400 400 – 500 500 – 600 600 – 700 700 – 800 |
50 150 250 350 450 550 650 750 |
4 8 9 10 7 5 4 3 |
200 1200 2250 3500 3150 2750 2600 2250 |
|50 - 358| = 308 |150 – 358| = 208 |250 – 358|=108 |350 – 358| = 8 |450 – 358|=92 |550 – 358|=192 |650 – 358|= 292 |750 – 358|= 392 |
1232 1664 972 80 644 960 1168 1176 |
|
|
50 |
17900 |
|
7896 |
M.D.
10.Find the mean deviation about the mean for the data in Exercises 9 and 10.
Height in cms |
Number of boys |
95 – 105 |
9 |
105 – 115 |
13 |
115 – 125 |
26 |
125 – 135 |
30 |
135 – 145 |
12 |
145 – 155 |
10 |
Solution : We have,
Class interval |
|
|
|
|
|
|
95 – 105 105 – 115 115 – 125 125 – 135 135 – 145 145 – 155 |
9 13 26 30 12 10 |
100 110 120 130 140 150 |
– 3 – 2 – 1 0 1 2 |
– 27 –26 –26 0 12 20 |
|100 – 125.3| = 25.3 |110 – 125.3| = 15.3 |120 – 125.3| = 5.3 |130 – 125.3| = 4.7 |140 – 125.3| = 14.7 |150 – 125.3| = 24.7 |
227.7 198.9 137.8 141.0 176.4 247.0 |
|
100 |
|
|
– 47 |
|
1128.8 |
Here,
So,
M.D.
11. Find the mean deviation about median for the following data :
Marks |
Number of Girls |
0 – 10 |
6 |
10 – 20 |
8 |
20 – 30 |
14 |
30 – 40 |
16 |
40 – 50 |
4 |
50 – 60 |
2 |
Solution : We have
Marks |
|
|
C.F. |
|
|
0 – 10 10 – 20 20 – 30 30 – 40 40 – 50 50 – 60 |
5 15 25 35 45 55 |
6 8 14 16 4 2 |
6 14 28 44 48 50 |
|5 – 27.68| = 22.86 |15 – 27.68|= 12.68 |25 – 27.68| = 2.68 |35 – 27.68| = 7.14 |45 – 27.68| = 17.14 |55 – 27.68| = 27.14 |
137.16 102.88 40.04 114.24 68.56 54.28 |
|
|
50 |
|
|
517.16 |
Here, , , , C.F. = 14
Median
M.D.(M)
12. Calculate the mean deviation about median age for the age distribution of 100 persons given below:
Age (in years) |
Number |
16 – 20 |
5 |
21 – 25 |
6 |
26 – 30 |
12 |
31 – 35 |
14 |
36 – 40 |
26 |
41 – 45 |
12 |
46 – 50 |
16 |
51 – 55 |
9 |
[Hint Convert the given data into continuous frequency distribution by subtracting 0.5
from the lower limit and adding 0.5 to the upper limit of each class interval]
Solution : We have,
Age |
|
|
CF |
|
|
15.5 – 20.5 20.5 – 25.5 25.5 – 30.5 30.5 – 35.5 35.5 – 40.5 40.5 – 45.5 45.5 – 50.5 50.5 – 55.5 |
18 23 28 33 38 43 48 53 |
5 6 12 14 26 12 16 9 |
5 11 23 37 63 75 91 100 |
|18 – 38|= 20 |23 – 38| = 15 |28 – 38| = 10 |33 – 38| = 5 |38 – 38| = 0 |43 – 38| = 5 |48 – 38| = 10 |53 – 38| = 15 |
100 90 120 70 0 60 160 135 |
|
|
100 |
|
|
735 |
Here, ,, CF = 37
Median
M.D.(M)
1. Find the mean and variance for each of the data in Exercies 1 to 5.
6, 7, 10, 12, 13, 4, 8, 12
Solution : We have ,
|
|
6 7 10 12 13 4 8 12 |
36 49 100 144 169 16 64 144 |
|
|
Mean
Variance
2. Find the mean and variance for each of the data in Exercies 1 to 5.
First natural numbers
Solution : We have ,
|
|
1 2 3
|
1² 2² 3²
|
|
|
Mean
Variance
3.Find the mean and variance for each of the data in Exercies 1 to 5.
First 10 multiples of 3
Solution : List of 10 multiples of 3 :
3 , 6 , 9 , 12 , 15 , 18 , 21 , 24 , 27 , 30
|
|
3 6 9 12 15 18 21 24 27 30 |
9 36 81 144 225 324 441 576 729 900 |
|
|
Mean
Variance
4.Find the mean and variance for each of the data in Exercies 1 to 5.
|
6 |
10 |
14 |
18 |
24 |
28 |
30 |
|
2 |
4 |
7 |
12 |
8 |
4 |
3 |
Solution : We have ,
|
|
|
|
|
6 10 14 18 24 28 30 |
2 4 7 12 8 4 3 |
36 100 196 324 576 784 900 |
12 40 98 216 192 112 90 |
72 400 1372 3888 4608 3136 2700 |
130 |
n = 40 |
|
760 |
16176 |
Mean
Variance
5.Find the mean and variance for each of the data in Exercies 1 to 5.
|
92 |
93 |
97 |
98 |
102 |
104 |
109 |
|
3 |
2 |
3 |
2 |
6 |
3 |
3 |
Solution : We have,
|
|
|
|
|
92 93 97 98 102 104 109 |
3 2 3 2 6 3 3 |
8464 8649 9409 9604 10404 10816 11881 |
276 186 291 196 612 312 327 |
25392 17298 28227 19208 62424 32448 35643 |
|
|
|
|
|
Mean
Variance
6. Find the mean and standard deviation using short-cut method.
|
60 |
61 |
62 |
63 |
64 |
65 |
66 |
67 |
68 |
|
2 |
1 |
12 |
29 |
25 |
12 |
10 |
4 |
5 |
Solution : We have,
|
|
|
|
|
|
60 61 62 63 64(A) 65 66 67 68 |
2 1 12 29 25 12 10 4 5 |
– 4 – 3 – 2 – 1 0 1 2 3 4 |
16 9 4 1 0 1 4 9 16 |
– 8 – 3 – 24 – 29 0 12 20 12 20 |
32 9 48 29 0 12 40 36 80 |
|
|
0 |
|
|
|
Mean
Standard deviation
7.Find the mean and variance for the following frequency distributions in Exercises 7 and 8.
Classes |
Frequencies |
0 – 30 |
2 |
30 – 60 |
3 |
60 – 90 |
5 |
90 – 120 |
10 |
120 – 150 |
3 |
150 – 180 |
5 |
180 – 210 |
2 |
Solution : We have ,
Classes |
|
|
|
|
|
|
0 – 30 30 – 60 60 – 90 90 – 120 120 – 150 150 – 180 180 – 210 |
15 45 75 105 (A) 135 165 195 |
2 3 5 10 3 5 2 |
– 3 – 2 – 1 0 1 2 3 |
9 4 1 0 1 4 9 |
– 6 – 8 – 1 0 1 8 27 |
18 12 5 0 3 20 18 |
|
|
30 |
|
|
2 |
76 |
Here, , , ,
Mean
Variance
8.Find the mean and variance for the following frequency distributions in Exercises 7 and 8.
Classes |
Frequencies |
0 – 10 |
5 |
10 – 20 |
8 |
20 – 30 |
15 |
30 – 40 |
16 |
40 – 50 |
6 |
Solution : We have,
Classes |
|
|
|
|
|
|
0 – 10 10 – 20 20 – 30 30 – 40 40 – 50 |
5 15 25 35 45 |
5 8 15 16 6 |
– 2 – 1 0 1 2 |
4 1 0 1 4 |
– 10 – 8 0 16 12 |
20 8 0 16 24 |
|
|
50 |
|
|
10 |
68 |
Here, , , ,
Mean
Variance
9. Find the mean, variance and standard deviation using short-cut method
Height in cms |
No. of children |
70 – 75 |
3 |
75 – 80 |
4 |
80 – 85 |
7 |
85 – 90 |
7 |
90 – 95 |
15 |
95 – 100 |
9 |
100 – 105 |
6 |
105 – 110 |
6 |
110 – 115 |
3 |
Solution : We have,
Classes |
|
|
|
|
|
|
70 – 75 |
72.5 |
3 |
– 4 |
16 |
– 12 |
48 |
75 – 80 |
77.5 |
4 |
– 3 |
9 |
– 12 |
36 |
80 – 85 |
82.5 |
7 |
– 2 |
4 |
– 14 |
28 |
85 – 90 |
87.5 |
7 |
– 1 |
1 |
– 7 |
7 |
90 – 95 |
92.5 (A) |
15 |
0 |
0 |
0 |
0 |
95 – 100 |
97.5 |
9 |
1 |
1 |
9 |
9 |
100 – 105 |
102.5 |
6 |
2 |
4 |
24 |
24 |
105 – 110 |
107.5 |
6 |
3 |
9 |
18 |
54 |
110 – 115 |
112.5 |
3 |
4 |
16 |
12 |
48 |
|
|
60 |
|
|
6 |
254 |
Here, , , ,
Mean
Variance
Standard deviation
10. The diameters of circles (in mm) drawn in a design are given below:
Diameters |
No. of circles |
33 – 36 |
15 |
37 – 40 |
17 |
41 – 44 |
21 |
45 – 48 |
22 |
49 – 52 |
25 |
Calculate the standard deviation and mean diameter of the circles.
[ Hint First make the data continuous by making the classes as 32.5-36.5 , 36.5-40.5 , 40.5-44.5 , 44.5 - 48.5 , 48.5 - 52.5 and then proceed.]
Solution : We have,
Classes |
|
|
|
|
|
|
32.5 – 36.5 36.5 – 40.5 40.5 – 44.5 44.5 – 48.5 48.5 – 52.5 |
34.5 38.5 42.5 (A) 46.5 50.5 |
15 17 21 22 25 |
– 2 – 1 0 1 2 |
4 1 0 1 4 |
– 30 – 17 0 22 50 |
60 17 0 22 100 |
Total |
|
100 |
|
|
25 |
199 |
Here, , , ,
Mean
Variance
1. The mean and variance of eight observations are 9 and 9.25, respectively. If six of the observations are 6, 7, 10, 12, 12 and 13, find the remaining two observations.
Solution : Let the other two observations be and .
Here , , and
So, the series is 6 , 7 , 10 , 12 , 12 , 13 , , .
Mean
Variance
[From (i) ]
or
,
Putting in (i) , we get
Putting in (i) , we get
Thus, the remaining observations are 4 and 8 .
2. The mean and variance of 7 observations are 8 and 16, respectively. If five of the observations are 2, 4, 10, 12, 14. Find the remaining two observations.
Solution : Let the other two observations be and .
Here , , and
So, the series is 2 , 4 , 10 ,12 , 14 , ,
Mean
Variance
[From (i) ]
or
,
Putting in (i) , we get
Putting in (i) , we get
Thus, the remaining observations are 6 and 8 .
3. The mean and standard deviation of six observations are 8 and 4, respectively. If each observation is multiplied by 3, find the new mean and new standard deviation of the resulting observations.
Solution : Let the observations be and be their mean
Here , , and
We have, Variance
If each observation is multiplied by 3, and the new resulting observations are , then
From (i) , (ii) and (iii) , we get
Thus the variance of new observations
4. Given that is the mean and is the variance of observations Prove that the mean and variance of the observations are and , respectively, (
Solution : Mean of the observations : .
Mean
Again , mean of the observations :
Mean
Hence, the mean of is .
Variance of the observations :
Variance
Again , variance of the observations : .
Variance
Hence, the variance of is .
5. The mean and standard deviation of 20 observations are found to be 10 and 2, respectively. On rechecking, it was found that an observation 8 was incorrect. Calculate the correct mean and standard deviation in each of the following cases:
(i) If wrong item is omitted. (ii) If it is replaced by 12.
Solution : (i) If wrong item is omitted.
Mean
Standard deviation
Number of observations
Mean,
[8 is omit ]
Correct
Number of correct observations = 20 – 1 = 19 [one observation omit .]
New mean
We have,
Correct
The standard deviation
(ii) If it is replaced by 12.
[ 8 is replaced by 12 ]
Correct
New mean
We have,
Correct
The standard deviation
6. The mean and standard deviation of a group of 100 observations were found to be 20 and 3, respectively. Later on it was found that three observations were incorrect, which were recorded as 21, 21 and 18. Find the mean and standard deviation if the incorrect observations are omitted.
Solution : Given, Mean
Standard deviation
Number of observations
The incorrect observations are: 21, 21, 18.
Correct
Number of correct observations = 100 – 3 = 97
New mean
We have,
The incorrect observations are: 21, 21, 18 .
Correct
The standard deviation