SEBA Class 10 Mathematics Chapter 14 Statistics Exercise 14.1 Solutions Complete Guide | Assam Eduverse
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Assam Eduverse provides SEBA Class 10 Mathematics Solutions Chapter 14 Statistics Exercise 14.1, offering complete guidance on data handling, frequency tables, mean, median, and mode. These SEBA Class 10 Maths Chapter 14 Statistics Exercise 14.1 solutions are solved step-by-step, ensuring students master SEBA Class 10 Mathematics Solutions Chapter 14 Statistics Exercise 14.1 effectively for SEBA and ASSEB Class 10 exams. Every question in these SEBA Class 10 Mathematics Solutions Chapter 14 Statistics Exercise 14.1 is explained clearly to boost understanding and problem-solving skills.
Chapter 14 – Statistics teaches students to organize, analyze, and interpret data systematically. The SEBA Class 10 Statistics Exercise 14.1 Step by Step solutions guide students through creating tables, cumulative frequencies, and statistical calculations. With ASSEB Class 10 Mathematics Chapter 14 Statistics Solutions from Assam Eduverse, learning SEBA Class 10 Mathematics Solutions Chapter 14 Statistics Exercise 14.1 becomes simple. Using these SEBA Class 10 Maths Chapter 14 Statistics Exercise 14.1 solutions, students can practice confidently, understand all statistical concepts, and excel in SEBA and ASSEB exams.
These Class 10 SEBA Maths Chapter 14 Statistics Guide solutions are exam-oriented and easy to follow. By practicing SEBA Class 10 Mathematics Solutions Chapter 14 Statistics Exercise 14.1, students strengthen skills in mean, median, mode, and data handling. The SEBA Class 10 Maths Chapter 14 Statistics Exercise 14.1 solutions also align with ASSEB standards, helping students prepare thoroughly, solve Chapter 14 problems efficiently, and achieve top results in Class 10 Mathematics exams using SEBA Class 10 Mathematics Solutions Chapter 14 Statistics Exercise 14.1.
Step-by-Step Solutions for Exercise 14.1 | ASSEB / SEBA Class 10 Chapter 14 Statistics Solutions
Q1. A survey was conducted by a group of students as a part of their environment awareness program, in which they collected the following data regarding the number of plants in 20 houses in a locality. Find the mean number of plants per house.
| Number of Plants | 0–2 | 2–4 | 4–6 | 6–8 | 8–10 | 10–12 | 12–14 |
| Number of Houses | 1 | 2 | 1 | 5 | 6 | 2 | 3 |
Which method did you use for finding the mean, and why?
Solution: We use the direct method because the values of frequency (fi) and class marks (xi) are small.
Class mark is calculated using:
\[ x_i = \frac{\text{Upper Limit} + \text{Lower Limit}}{2} \]
| Class Interval | fi | Class Mark (xi) | fi·xi |
| 0–2 | 1 | 1 | 1 |
| 2–4 | 2 | 3 | 6 |
| 4–6 | 1 | 5 | 5 |
| 6–8 | 5 | 7 | 35 |
| 8–10 | 6 | 9 | 54 |
| 10–12 | 2 | 11 | 22 |
| 12–14 | 3 | 13 | 39 |
| Σfi = 20 | Σfi·xi = 162 |
Mean: \[ \bar{x} = \frac{\sum f_i x_i}{\sum f_i} = \frac{162}{20} = 8.1 \]
Therefore, the mean number of plants per house is 8.1.
Q2. Consider the following distribution of daily wages of 50 workers of a factory. Find the mean daily wages of the workers of the factory by using an appropriate method.
| Daily wages (Rs.) | 500–520 | 520–540 | 540–560 | 560–580 | 580–600 |
| No. of workers | 12 | 14 | 8 | 6 | 10 |
Solution: Use assumed mean (step-deviation) method. Choose a = 550, h = 20.
Mean formula: \[ \bar{x} = a + h \frac{\sum f_i u_i}{\sum f_i} \], where \( u_i = \frac{x_i – a}{h} \)
| Class Interval | fi | xi | ui | fi·ui |
| 500–520 | 12 | 510 | -2 | -24 |
| 520–540 | 14 | 530 | -1 | -14 |
| 540–560 | 8 | 550 | 0 | 0 |
| 560–580 | 6 | 570 | 1 | 6 |
| 580–600 | 10 | 590 | 2 | 20 |
| Σfi = 50 | Σfi·ui = -12 |
Mean: \[ \bar{x} = 550 + 20 \cdot \frac{-12}{50} = 550 – 4.8 = 545.20 \]
Q3. The following distribution shows the daily pocket allowance of children of a locality. The mean pocket allowance is Rs 18. Find the missing frequency f.
| Daily Pocket Allowance | 11–13 | 13–15 | 15–17 | 17–19 | 19–21 | 21–23 | 23–25 |
| Number of children | 7 | 6 | 9 | 13 | f | 5 | 4 |
Solution: Class marks xi = (Upper + Lower)/2. Mean formula: \[ \bar{x} = \frac{\sum f_i x_i}{\sum f_i} \]
| Class Interval | fi | xi | fi·xi |
| 11–13 | 7 | 12 | 84 |
| 13–15 | 6 | 14 | 84 |
| 15–17 | 9 | 16 | 144 |
| 17–19 | 13 | 18 | 234 |
| 19–21 | f | 20 | 20f |
| 21–23 | 5 | 22 | 110 |
| 23–25 | 4 | 24 | 96 |
| Σfi = 44 + f | Σfi·xi = 752 + 20f |
Solving: 18 = (752 + 20f)/(44 + f) → f = 20
Q4. Thirty women were examined in a hospital by a doctor, and the number of heartbeats per minute were recorded. Find the mean heartbeats per minute.
| Heartbeats per min | 65–68 | 68–71 | 71–74 | 74–77 | 77–80 | 80–83 | 83–86 |
| No. of women | 2 | 4 | 3 | 8 | 7 | 4 | 2 |
Solution: Use assumed mean method. a = 75.5, h = 3, Mean: \[ \bar{x} = a + h \frac{\sum f_i u_i}{\sum f_i} \]
| Interval | fi | xi | ui | fi·ui |
| 65–68 | 2 | 66.5 | -3 | -6 |
| 68–71 | 4 | 69.5 | -2 | -8 |
| 71–74 | 3 | 72.5 | -1 | -3 |
| 74–77 | 8 | 75.5 | 0 | 0 |
| 77–80 | 7 | 78.5 | 1 | 7 |
| 80–83 | 4 | 81.5 | 2 | 8 |
| 83–86 | 2 | 84.5 | 3 | 6 |
| Σfi = 30 | Σfi·ui = 4 |
Mean: \[ \bar{x} = 75.5 + 3 \cdot \frac{4}{30} = 75.9 \]
Q5. In a retail market, fruit vendors were selling mangoes kept in packing boxes. The following was the distribution of mangoes according to the number of boxes. Find the mean number of mangoes kept in a packing box.
| No. of mangoes | 50–52 | 53–55 | 56–58 | 59–61 | 62–64 |
| No. of boxes | 15 | 110 | 135 | 115 | 25 |
Solution: Convert to continuous intervals (add/subtract 0.5), use assumed mean method: a = 57, h = 3.
| Interval (continuous) | fi | xi | ui | fi·ui |
| 49.5–52.5 | 15 | 51 | -2 | -30 |
| 52.5–55.5 | 110 | 54 | -1 | -110 |
| 55.5–58.5 | 135 | 57 | 0 | 0 |
| 58.5–61.5 | 115 | 60 | 1 | 115 |
| 61.5–64.5 | 25 | 63 | 2 | 50 |
| Σfi = 400 | Σfi·ui = 25 |
Mean: \[ \bar{x} = a + h \frac{\sum f_i u_i}{\sum f_i} \]
\[ \bar{x} = 57 + 3 \cdot \frac{25}{400} = 57 + 0.1875 \approx 57.19 \]
Q6. The table below shows the daily expenditure on food of 25 households in a locality. Find the mean daily expenditure on food.
| Daily expenditure | 100–150 | 150–200 | 200–250 | 250–300 | 300–350 |
| No. of households | 4 | 5 | 12 | 2 | 2 |
Solution: Use assumed mean method, a = 225, h = 50.
| Interval | fi | xi | ui | fi·ui |
| 100–150 | 4 | 125 | -2 | -8 |
| 150–200 | 5 | 175 | -1 | -5 |
| 200–250 | 12 | 225 | 0 | 0 |
| 250–300 | 2 | 275 | 1 | 2 |
| 300–350 | 2 | 325 | 2 | 4 |
| Σfi = 25 | Σfi·ui = -7 |
Mean: \[ \bar{x} = a + h \frac{\sum f_i u_i}{\sum f_i} \]
\[ \bar{x} = 225 + 50 \cdot \frac{-7}{25} = 225 – 14 = 211 \]
Q7. To find out the concentration of SO₂ in the air (in ppm), the data was collected for 30 localities. Find the mean concentration of SO₂ in the air.
| Concentration (ppm) | 0.00–0.04 | 0.04–0.08 | 0.08–0.12 | 0.12–0.16 | 0.16–0.20 | 0.20–0.24 |
| Frequency | 4 | 9 | 9 | 2 | 4 | 2 |
Solution: Use direct method (class marks small decimals).
| Interval | fi | xi | fi·xi |
| 0.00–0.04 | 4 | 0.02 | 0.08 |
| 0.04–0.08 | 9 | 0.06 | 0.54 |
| 0.08–0.12 | 9 | 0.10 | 0.90 |
| 0.12–0.16 | 2 | 0.14 | 0.28 |
| 0.16–0.20 | 4 | 0.18 | 0.72 |
| 0.20–0.24 | 2 | 0.22 | 0.44 |
| Σfi = 30 | Σfi·xi = 2.96 |
Mean: \[ \bar{x} = a + h \frac{\sum f_i u_i}{\sum f_i} \]
\[ \bar{x} = \frac{2.96}{30} \approx 0.099\ \text{ppm} \]
Q8. A class teacher has the following absentee record of 40 students. Find the mean number of days a student was absent.
| Number of days | 0–6 | 6–10 | 10–14 | 14–20 | 20–28 | 28–38 | 38–40 |
| No. of students | 11 | 10 | 7 | 4 | 4 | 3 | 1 |
Solution: Direct method.
| Interval | fi | xi | fi·xi |
| 0–6 | 11 | 3 | 33 |
| 6–10 | 10 | 8 | 80 |
| 10–14 | 7 | 12 | 84 |
| 14–20 | 4 | 17 | 68 |
| 20–28 | 4 | 24 | 96 |
| 28–38 | 3 | 33 | 99 |
| 38–40 | 1 | 39 | 39 |
| Σfi = 40 | Σfi·xi = 499 |
Mean: \[ \bar{x} = a + h \frac{\sum f_i u_i}{\sum f_i} \]
\[ \bar{x} = \frac{499}{40} \approx 12.48\ \text{days} \]
Q9. The following table gives the literacy rate (in percentage) of 35 cities. Find the mean literacy rate.
| Literacy rate (%) | 45–55 | 55–65 | 65–75 | 75–85 | 85–95 |
| No. of cities | 3 | 10 | 11 | 8 | 3 |
Solution: Assumed mean method, a = 70, h = 10.
| Interval | fi | xi | ui | fi·ui |
| 45–55 | 3 | 50 | -2 | -6 |
| 55–65 | 10 | 60 | -1 | -10 |
| 65–75 | 11 | 70 | 0 | 0 |
| 75–85 | 8 | 80 | 1 | 8 |
| 85–95 | 3 | 90 | 2 | 6 |
| Σfi = 35 | Σfi·ui = -2 |
Mean: \[ \bar{x} = a + h \frac{\sum f_i u_i}{\sum f_i} \]
\[ \bar{x} = 70 + 10 \cdot \frac{-2}{35} \approx 69.43\% \]
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