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Chapter 7 of RD Sharmaβs Class 10 textbook focuses on Statistics a fundamental area in mathematics that deals with data collection, analysis, interpretation, and presentation. Exercise 7.3 | Set 1 of this chapter covers the various problems designed to enhance students' understanding and application of statistical methods. This exercise aims to reinforce the concepts learned and provide the practice in solving the statistical problems.
Statistics is the branch of mathematics that involves collecting, analyzing, interpreting, presenting, and organizing data. It provides tools and techniques to summarize and make sense of the large datasets facilitating informed decision-making. In essence, statistics helps in understanding the patterns and trends within data which is crucial in various fields such as economics, social sciences, and natural sciences.
| Expenditure (in rupees) (x) | Frequency (fi) | Expenditure (in rupees) (xi) | Frequency (fi) |
| 100 β 150 | 24 | 300 β 350 | 30 |
| 150 β 200 | 40 | 350 β 400 | 22 |
| 200 β 250 | 33 | 400 β 450 | 16 |
| 250 β 300 | 28 | 450 β 500 | 7 |
Solution:
Let the assumed mean (A) = 275
Class interval Mid value (xi) di = xi β 275 ui = (xi β 275)/50 Frequency fi fiui 100 β 150 125 -150 -3 24 -72 150 β 200 175 -100 -2 40 -80 200 β 250 225 -50 -1 33 -33 250 β 300 275 0 0 28 0 300 β 350 325 50 1 30 30 350 β 400 375 100 2 22 44 400 β 450 425 150 3 16 48 450 β 500 475 200 4 7 28 N = 200 Ξ£ fiui = -35 Itβs seen that A = 275 and h = 50
So,
Mean = A + h x (Ξ£fi ui/N)
= 275 + 50 (-35/200)
= 275 β 8.75
= 266.25
| Number of plants: | 0 β 2 | 2 β 4 | 4 β 6 | 6 β 8 | 8 β 10 | 10 β 12 | 12 β 14 |
| Number of house: | 1 | 2 | 1 | 5 | 6 | 2 | 3 |
Solution:
From the given data,
To find the class interval we know that,
Class marks (xi) = (upper class limit + lower class limit)/2
Now, letβs compute xi and fixi by the following
Number of plants Number of house (fi) xi fixi 0 β 2 1 1 1 2 β 4 2 3 6 4 β 6 1 5 5 6 β 8 5 7 35 8 β 10 6 9 54 10 β 12 2 11 22 12 β 14 3 13 39 Total N = 20 Ξ£ fiui = 162 Here,
Mean = Ξ£ fiui/N
= 162/ 20
= 8.1
Thus, the mean number of plants in a house is 8.1
We have used the direct method as the values of class mark xi and fi is very small.
| Daily wages (in βΉ) | 100 β 120 | 120 β 140 | 140 β 160 | 160 β 180 | 180 β 200 |
| Number of workers: | 12 | 14 | 8 | 6 | 10 |
Solution:
Let us assume mean (A) = 150
Class interval Mid value xi di = xi β 150 ui = (xi β 150)/20 Frequency fi fiui 100 β 120 110 -40 -2 12 -24 120 β 140 130 -20 -1 14 -14 140 β 160 150 0 0 8 0 160 β 180 170 20 1 6 6 180 β 200 190 40 2 10 20 N= 50 Ξ£ fiui = -12 Itβs seen that,
A = 150 and h = 20
So,
Mean = A + h x (Ξ£fi ui/N)
= 150 + 20 x (-12/50)
= 150 β 24/5
= 150 = 4.8
= 145.20
| Number of heart beats per minute: | 65 β 68 | 68 β 71 | 71 β 74 | 74 β 77 | 77 β 80 | 80 β 83 | 83 β 86 |
| Number of women: | 2 | 4 | 3 | 8 | 7 | 4 | 2 |
Solution:
Using the relation (xi) = (upper class limit + lower class limit)/ 2
And, class size of this data = 3
Let the assumed mean (A) = 75.5
So, letβs calculate di, ui, fiui as following:
Number of heart beats per minute Number of women (fi) xi di = xi β 75.5 ui = (xi β 755)/h fiui 65 β 68 2 66.5 -9 -3 -6 68 β 71 4 69.5 -6 -2 -8 71 β 74 3 72.5 -3 -1 -3 74 β 77 8 75.5 0 0 0 77 β 80 7 78.5 3 1 7 80 β 83 4 81.5 6 2 8 83 β 86 2 84.5 9 3 6 N = 30 Ξ£ fiui = 4 From table, itβs seen that
N = 30 and h = 3
So, the mean = A + h x (Ξ£fi ui/N)
= 75.5 + 3 x (4/30
= 75.5 + 2/5
= 75.9
Therefore, the mean heart beats per minute for those women are 75.9 beats per minute.
| Class interval: | 0 β 6 | 6 β 12 | 12 β 18 | 18 β 24 | 24 β 30 |
| Frequency: | 6 | 8 | 10 | 9 | 7 |
Solution:
Letβs consider the assumed mean (A) = 15
Class interval Mid β value xi di = xi β 15 ui = (xi β 15)/6 fi fiui 0 β 6 3 -12 -2 6 -12 6 β 12 9 -6 -1 8 -8 12 β 18 15 0 0 10 0 18 β 24 21 6 1 9 9 24 β 30 27 12 2 7 14 N = 40 Ξ£ fiui = 3 From the table itβs seen that,
A = 15 and h = 6
Mean = A + h x (Ξ£fi ui/N)
= 15 + 6 x (3/40)
= 15 + 0.45
= 15.45
| Class interval: | 50 β 70 | 70 β 90 | 90 β 110 | 110 β 130 | 130 β 150 | 150 β 170 |
| Frequency: | 18 | 12 | 13 | 27 | 8 | 22 |
Solution:
Letβs consider the assumed mean (A) = 100
Class interval Mid β value xi di = xi β 100 ui = (xi β 100)/20 fi fiui 50 β 70 60 -40 -2 18 -36 70 β 90 80 -20 -1 12 -12 90 β 110 100 0 0 13 0 110 β 130 120 20 1 27 27 130 β 150 140 40 2 8 16 150 β 170 160 60 3 22 66 N= 100 Ξ£ fiui = 61 From the table itβs seen that,
A = 100 and h = 20
Mean = A + h x (Ξ£fi ui/N)
= 100 + 20 x (61/100)
= 100 + 12.2
= 112.2
| Class interval: | 0 β 8 | 8 β 16 | 16 β 24 | 24 β 32 | 32 β 40 |
| Frequency: | 6 | 7 | 10 | 8 | 9 |
Solution:
From the table itβs seen that,
A = 20 and h = 8
Mean = A + h x (Ξ£fi ui/N)
= 20 + 8 x (7/40)
= 20 + 1.4
= 21.4
| Class interval: | 0 β 6 | 6 β 12 | 12 β 18 | 18 β 24 | 24 β 30 |
| Frequency: | 7 | 5 | 10 | 12 | 6 |
Solution:
Letβs consider the assumed mean (A) = 15
Class interval Mid β value xi di = xi β 15 ui = (xi β 15)/6 fi fiui 0 β 6 3 -12 -2 7 -14 6 β 12 9 -6 -1 5 -5 12 β 18 15 0 0 10 0 18 β 24 21 6 1 12 12 24 β 30 27 12 2 6 12 N = 40 Ξ£ fiui = 5 From the table itβs seen that,
A = 15 and h = 6
Mean = A + h x (Ξ£fi ui/N)
= 15 + 6 x (5/40)
= 15 + 0.75
= 15.75
| Class interval: | 0 β 10 | 10 β 20 | 20 β 30 | 30 β 40 | 40 β 50 |
| Frequency: | 9 | 12 | 15 | 10 | 14 |
Solution:
Letβs consider the assumed mean (A) = 25
Class interval Mid β value xi di = xi β 25 ui = (xi β 25)/10 fi fiui 0 β 10 5 -20 -2 9 -18 10 β 20 15 -10 -1 12 -12 20 β 30 25 0 0 15 0 30 β 40 35 10 1 10 10 40 β 50 45 20 2 14 28 N = 60 Ξ£ fiui = 8 From the table itβs seen that,
A = 25 and h = 10
Mean = A + h x (Ξ£fi ui/N)
= 25 + 10 x (8/60)
= 25 + 4/3
= 79/3 = 26.333
| Class interval: | 0 β 8 | 8 β 16 | 16 β 24 | 24 β 32 | 32 β 40 |
| Frequency: | 5 | 9 | 10 | 8 | 8 |
Solution:
Letβs consider the assumed mean (A) = 20
Class interval Mid β value xi di = xi β 20 ui = (xi β 20)/8 fi fiui 0 β 8 4 -16 -2 5 -10 8 β 16 12 -4 -1 9 -9 16 β 24 20 0 0 10 0 24 β 32 28 4 1 8 8 32 β 40 36 16 2 8 16 N = 40 Ξ£ fiui = 5 From the table itβs seen that,
A = 20 and h = 8
Mean = A + h x (Ξ£fi ui/N)
= 20 + 8 x (5/40)
= 20 + 1
= 21
| Class interval: | 0 β 8 | 8 β 16 | 16 β 24 | 24 β 32 | 32 β 40 |
| Frequency: | 5 | 6 | 4 | 3 | 2 |
Solution:
Letβs consider the assumed mean (A) = 20
Class interval Mid β value xi di = xi β 20 ui = (xi β 20)/8 fi fiui 0 β 8 4 -16 -2 5 -12 8 β 16 12 -8 -1 6 -8 16 β 24 20 0 0 4 0 24 β 32 28 8 1 3 9 32 β 40 36 16 2 2 14 N = 20 Ξ£ fiui = -9 From the table itβs seen that,
A = 20 and h = 8
Mean = A + h x (Ξ£fi ui/N)
= 20 + 6 x (-9/20)
= 20 β 72/20
= 20 β 3.6
= 16.4
| Class interval: | 10 β 30 | 30 β 50 | 50 β 70 | 70 β 90 | 90 β 110 | 110 β 130 |
| Frequency: | 5 | 8 | 12 | 20 | 3 | 2 |
Solution:
Letβs consider the assumed mean (A) = 60
Class interval Mid β value xi di = xi β60 ui = (xi β 60)/20 fi fiui 10 β 30 20 -40 -2 5 -10 30 β 50 40 -20 -1 8 -8 50 β 70 60 0 0 12 0 70 β 90 80 20 1 20 20 90 β 110 100 40 2 3 6 110 β 130 120 60 3 2 6 N = 50 Ξ£ fiui = 14 From the table itβs seen that,
A = 60 and h = 20
Mean = A + h x (Ξ£fi ui/N)
= 60 + 20 x (14/50)
= 60 + 28/5
= 60 + 5.6
= 65.6
| Class interval: | 25 β 35 | 35 β 45 | 45 β 55 | 55 β 65 | 65 β 75 |
| Frequency: | 6 | 10 | 8 | 12 | 4 |
Solution:
Letβs consider the assumed mean (A) = 50
Class interval Mid β value xi di = xi β 50 ui = (xi β 50)/10 fi fiui 25 β 35 30 -20 -2 6 -12 35 β 45 40 -10 -1 10 -10 45 β 55 50 0 0 8 0 55 β 65 60 10 1 12 12 65 β 75 70 20 2 4 8 N = 40 Ξ£ fiui = -2 From the table itβs seen that,
A = 50 and h = 10
Mean = A + h x (Ξ£fi ui/N)
= 50 + 10 x (-2/40)
= 50 β 0.5
= 49.5
Read More:
Exercise 7.3 | Set 1 of RD Sharmaβs Chapter 7 on Statistics offers practical problems that challenge students to the apply statistical methods effectively. By working through these problems students will gain a deeper insight into the statistical concepts and improve their problem-solving skills. Mastery of these exercises will build a solid foundation for the tackling more complex statistical analyses in the future studies.