BOARD OF SECONDARY EDUCATION, TELANGANA
CLASS 10 MATHEMATICS - CHAPTER 14: STATISTICS
Complete Exercise-Wise Questions & Step-by-Step Solutions (Ex 14.1 - 14.4) | Muqeem Tutorial
• Mean (Direct): x̄ = Σfᵢxᵢ / Σfᵢ | Step-Deviation: x̄ = a + (Σfᵢuᵢ / Σfᵢ) × h
• Mode = l + [(f₁ - f₀) / (2f₁ - f₀ - f₂)] × h | Median = l + [(N/2 - cf) / f] × h
• Empirical Relationship: Mode = 3 Median - 2 Mean
• Mode = l + [(f₁ - f₀) / (2f₁ - f₀ - f₂)] × h | Median = l + [(N/2 - cf) / f] × h
• Empirical Relationship: Mode = 3 Median - 2 Mean
EXERCISE 14.1 — Mean of Grouped Data (Q1 to Q9)
Q1. A survey was conducted by a group of students to collect data regarding the number of plants in 20 houses in a locality. Find the mean number of plants per house.
| No. of Plants | 0 - 2 | 2 - 4 | 4 - 6 | 6 - 8 | 8 - 10 | 10 - 12 | 12 - 14 | Total |
|---|---|---|---|---|---|---|---|---|
| No. of Houses (fᵢ) | 1 | 2 | 1 | 5 | 6 | 2 | 3 | Σfᵢ = 20 |
| Class Mark (xᵢ) | 1 | 3 | 5 | 7 | 9 | 11 | 13 | - |
| fᵢxᵢ | 1 | 6 | 5 | 35 | 54 | 22 | 39 | Σfᵢxᵢ = 162 |
Direct Method: Mean x̄ = Σfᵢxᵢ / Σfᵢ = 162 / 20 = 8.1.
👉 Mean number of plants per house = 8.1
Q2. Consider the following distribution of daily wages of 50 workers of a factory. Find the mean daily wages using the step-deviation method.
| Daily Wages (₹) | 500 - 520 | 520 - 540 | 540 - 560 | 560 - 580 | 580 - 600 | Total |
|---|---|---|---|---|---|---|
| Workers (fᵢ) | 12 | 14 | 8 | 6 | 10 | Σfᵢ = 50 |
| xᵢ | 510 | 530 | 550 (a) | 570 | 590 | - |
| uᵢ = (xᵢ - a)/h | -2 | -1 | 0 | 1 | 2 | - |
| fᵢuᵢ | -24 | -14 | 0 | 6 | 20 | Σfᵢuᵢ = -12 |
Assumed Mean a = 550, Class size h = 20.
Mean x̄ = a + (Σfᵢuᵢ / Σfᵢ) × h = 550 + (-12 / 50) × 20 = 550 - 4.8 = ₹ 545.20.
👉 Mean daily wages = ₹ 545.20
Q3. The following distribution shows the daily pocket allowance of children of a locality. The mean pocket allowance is ₹ 18. Find the missing frequency f.
| Allowance (₹) | 11-13 | 13-15 | 15-17 | 17-19 | 19-21 | 21-23 | 23-25 | Total |
|---|---|---|---|---|---|---|---|---|
| Children (fᵢ) | 7 | 6 | 9 | 13 | f | 5 | 4 | 44 + f |
| Class Mark (xᵢ) | 12 | 14 | 16 | 18 | 20 | 22 | 24 | - |
| fᵢxᵢ | 84 | 84 | 144 | 234 | 20f | 110 | 96 | 752 + 20f |
Mean = 18. Formula: Mean = Σfᵢxᵢ / Σfᵢ
18 = (752 + 20f) / (44 + f) ⇒ 18(44 + f) = 752 + 20f
792 + 18f = 752 + 20f ⇒ 2f = 40 ⇒ f = 20.
👉 Missing Frequency f = 20
Q4. Thirty women were examined in a hospital and their heart beats per minute were recorded. Find the mean heart beats per minute.
| Heart Beats | 65-68 | 68-71 | 71-74 | 74-77 | 77-80 | 80-83 | 83-86 | Total |
|---|---|---|---|---|---|---|---|---|
| Women (fᵢ) | 2 | 4 | 3 | 8 | 7 | 4 | 2 | 30 |
| xᵢ | 66.5 | 69.5 | 72.5 | 75.5 (a) | 78.5 | 81.5 | 84.5 | - |
| uᵢ | -3 | -2 | -1 | 0 | 1 | 2 | 3 | - |
| fᵢuᵢ | -6 | -8 | -3 | 0 | 7 | 8 | 6 | 4 |
a = 75.5, h = 3, Σfᵢ = 30, Σfᵢuᵢ = 4.
Mean x̄ = 75.5 + (4 / 30) × 3 = 75.5 + 0.4 = 75.9.
👉 Mean heart beats per minute = 75.9
Q5. In a retail market, fruit vendors were selling mangoes kept in packing boxes. These boxes contained varying number of mangoes. Find the mean number of mangoes kept in a packing box.
| No. of Mangoes | 50 - 52 | 53 - 55 | 56 - 58 | 59 - 61 | 62 - 64 | Total |
|---|---|---|---|---|---|---|
| No. of Boxes (fᵢ) | 15 | 110 | 135 | 115 | 25 | 400 |
| Class Mark (xᵢ) | 51 | 54 | 57 (a) | 60 | 63 | - |
| uᵢ = (xᵢ - a)/h | -2 | -1 | 0 | 1 | 2 | - |
| fᵢuᵢ | -30 | -110 | 0 | 115 | 50 | 25 |
Assumed mean a = 57, class size h = 3, Σfᵢ = 400, Σfᵢuᵢ = 25.
Mean x̄ = a + (Σfᵢuᵢ / Σfᵢ) × h = 57 + (25 / 400) × 3 = 57 + 0.1875 = 57.19.
👉 Mean number of mangoes = 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 by a suitable method.
| Daily Exp. (₹) | 100 - 150 | 150 - 200 | 200 - 250 | 250 - 300 | 300 - 350 | Total |
|---|---|---|---|---|---|---|
| Households (fᵢ) | 4 | 5 | 12 | 2 | 2 | 25 |
| xᵢ | 125 | 175 | 225 (a) | 275 | 325 | - |
| uᵢ | -2 | -1 | 0 | 1 | 2 | - |
| fᵢuᵢ | -8 | -5 | 0 | 2 | 4 | -7 |
a = 225, h = 50, Σfᵢ = 25, Σfᵢuᵢ = -7.
Mean x̄ = 225 + (-7 / 25) × 50 = 225 - 14 = ₹ 211.
👉 Mean daily expenditure = ₹ 211
Q7. To find out the concentration of SO₂ in the air (in parts per million, i.e., ppm), the data was collected for 30 localities in a certain city. Find the mean concentration of SO₂ in the air.
| Conc. of SO₂ (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 | Total |
|---|---|---|---|---|---|---|---|
| Frequency (fᵢ) | 4 | 9 | 9 | 2 | 4 | 2 | 30 |
| Class Mark (xᵢ) | 0.02 | 0.06 | 0.10 | 0.14 | 0.18 | 0.22 | - |
| fᵢxᵢ | 0.08 | 0.54 | 0.90 | 0.28 | 0.72 | 0.44 | 2.96 |
Mean x̄ = Σfᵢxᵢ / Σfᵢ = 2.96 / 30 = 0.09867 ppm.
👉 Mean concentration of SO₂ = 0.099 ppm
Q8. A class teacher has the following absentee record of 40 students of a class for the whole term. Find the mean number of days a student was absent.
| No. of Days | 0 - 6 | 6 - 10 | 10 - 14 | 14 - 20 | 20 - 28 | 28 - 38 | 38 - 40 | Total |
|---|---|---|---|---|---|---|---|---|
| Students (fᵢ) | 11 | 10 | 7 | 4 | 4 | 3 | 1 | 40 |
| xᵢ | 3 | 8 | 12 | 17 | 24 | 33 | 39 | - |
| fᵢxᵢ | 33 | 80 | 84 | 68 | 96 | 99 | 39 | 499 |
Direct Method (since class intervals are unequal):
Mean x̄ = Σfᵢxᵢ / Σfᵢ = 499 / 40 = 12.475 days.
👉 Mean number of absent days = 12.48 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 | Total |
|---|---|---|---|---|---|---|
| No. of Cities (fᵢ) | 3 | 10 | 11 | 8 | 3 | 35 |
| xᵢ | 50 | 60 | 70 (a) | 80 | 90 | - |
| uᵢ | -2 | -1 | 0 | 1 | 2 | - |
| fᵢuᵢ | -6 | -10 | 0 | 8 | 6 | -2 |
a = 70, h = 10, Σfᵢ = 35, Σfᵢuᵢ = -2.
Mean x̄ = 70 + (-2 / 35) × 10 = 70 - 0.57 = 69.43%.
👉 Mean literacy rate = 69.43%
EXERCISE 14.2 — Mode of Grouped Data (Q1 to Q6)
Q1. The following table shows the ages of patients admitted in a hospital during a year. Find the mode and the mean of the data:
| Age (Years) | 5 - 15 | 15 - 25 | 25 - 35 | 35 - 45 | 45 - 55 | 55 - 65 |
|---|---|---|---|---|---|---|
| Patients (fᵢ) | 6 | 11 | 21 | 23 | 14 | 5 |
Max frequency = 23 ⇒ Modal class = 35 - 45.
l = 35, f₁ = 23, f₀ = 21, f₂ = 14, h = 10.
Mode = 35 + [(23 - 21) / (2(23) - 21 - 14)] × 10 = 35 + [2 / 11] × 10 = 36.81 years.
👉 Mode = 36.81 years | Mean = 35.37 years
Q2. The following data gives the information on the observed lifetimes (in hours) of 225 electrical components. Determine the modal lifetimes of the components:
| Lifetimes (hrs) | 0 - 20 | 20 - 40 | 40 - 60 | 60 - 80 | 80 - 100 | 100 - 120 |
|---|---|---|---|---|---|---|
| Frequency (fᵢ) | 10 | 35 | 52 | 61 | 38 | 29 |
Max frequency = 61 ⇒ Modal class = 60 - 80.
l = 60, f₁ = 61, f₀ = 52, f₂ = 38, h = 20.
Mode = 60 + [(61 - 52) / (122 - 52 - 38)] × 20 = 60 + [9 / 32] × 20 = 65.625 hours.
👉 Modal Lifetime = 65.625 hours
Q3. The following data gives the distribution of total monthly household expenditure of 200 families of a village. Find the modal monthly expenditure.
| Expenditure (₹) | 1000-1500 | 1500-2000 | 2000-2500 | 2500-3000 | 3000-3500 | 3500-4000 | 4000-4500 | 4500-5000 |
|---|---|---|---|---|---|---|---|---|
| Families (fᵢ) | 24 | 40 | 33 | 28 | 30 | 22 | 16 | 7 |
Max frequency = 40 ⇒ Modal class = 1500 - 2000.
l = 1500, f₁ = 40, f₀ = 24, f₂ = 33, h = 500.
Mode = 1500 + [(40 - 24) / (80 - 24 - 33)] × 500 = 1500 + [16 / 23] × 500 = ₹ 1847.83.
👉 Modal Monthly Expenditure = ₹ 1847.83
Q4. The following distribution gives the state-wise teacher-student ratio in higher secondary schools of India. Find the mode and mean of this data.
| Students/Teacher | 15-20 | 20-25 | 25-30 | 30-35 | 35-40 | 40-45 | 45-50 | 50-55 |
|---|---|---|---|---|---|---|---|---|
| States/UTs (fᵢ) | 3 | 8 | 9 | 10 | 3 | 0 | 0 | 2 |
Max frequency = 10 ⇒ Modal class = 30 - 35.
l = 30, f₁ = 10, f₀ = 9, f₂ = 3, h = 5.
Mode = 30 + [(10 - 9) / (20 - 9 - 3)] × 5 = 30 + [1 / 8] × 5 = 30.625.
👉 Mode = 30.63 | Mean = 29.22
Q5. The given distribution shows the number of runs scored by some top batsmen of the world in one-day international cricket matches. Find the mode.
| Runs Scored | 3000-4000 | 4000-5000 | 5000-6000 | 6000-7000 | 7000-8000 | 8000-9000 | 9000-10000 | 10000-11000 |
|---|---|---|---|---|---|---|---|---|
| Batsmen (fᵢ) | 4 | 18 | 9 | 7 | 6 | 3 | 1 | 1 |
Max frequency = 18 ⇒ Modal class = 4000 - 5000.
l = 4000, f₁ = 18, f₀ = 4, f₂ = 9, h = 1000.
Mode = 4000 + [(18 - 4) / (36 - 4 - 9)] × 1000 = 4000 + [14 / 23] × 1000 = 4608.7 runs.
👉 Mode = 4608.7 runs
Q6. A student noted the number of cars passing through a spot on a road for 100 periods each of 3 minutes and summarized it in the table below. Find the mode of the data:
| No. of Cars | 0 - 10 | 10 - 20 | 20 - 30 | 30 - 40 | 40 - 50 | 50 - 60 | 60 - 70 | 70 - 80 |
|---|---|---|---|---|---|---|---|---|
| Frequency (fᵢ) | 7 | 14 | 13 | 12 | 20 | 11 | 15 | 8 |
Max frequency = 20 ⇒ Modal class = 40 - 50.
l = 40, f₁ = 20, f₀ = 12, f₂ = 11, h = 10.
Mode = 40 + [(20 - 12) / (40 - 12 - 11)] × 10 = 40 + [8 / 17] × 10 = 44.71 cars.
👉 Mode = 44.71 cars
EXERCISE 14.3 — Median of Grouped Data & Missing Frequencies (Q1 to Q7)
Q1. The following frequency distribution gives the monthly consumption of electricity of 68 consumers of a locality. Find the median of the data.
| Monthly Consumption (Units) | 65-85 | 85-105 | 105-125 | 125-145 | 145-165 | 165-185 | 185-205 |
|---|---|---|---|---|---|---|---|
| Consumers (fᵢ) | 4 | 5 | 13 | 20 | 14 | 8 | 4 |
| Cumulative Frequency (cf) | 4 | 9 | 22 | 42 | 56 | 64 | 68 |
N = 68 ⇒ N / 2 = 34. Median class = 125 - 145.
l = 125, cf = 22, f = 20, h = 20.
Median = l + [(N/2 - cf) / f] × h = 125 + [(34 - 22) / 20] × 20 = 137 units.
👉 Median = 137 units
Q2. If the median of the distribution given below is 28.5, find the values of x and y (Total frequency = 60):
| Class Interval | 0 - 10 | 10 - 20 | 20 - 30 | 30 - 40 | 40 - 50 | 50 - 60 | Total |
|---|---|---|---|---|---|---|---|
| Frequency (fᵢ) | 5 | x | 20 | 15 | y | 5 | 60 |
| cf | 5 | 5 + x | 25 + x | 40 + x | 40 + x + y | 45 + x + y | - |
1. 45 + x + y = 60 ⇒ x + y = 15 --- (Eq 1)
2. Median = 28.5 lies in class 20 - 30 ⇒ l = 20, f = 20, cf = 5 + x, h = 10.
28.5 = 20 + [(30 - (5 + x)) / 20] × 10 ⇒ 8.5 = (25 - x) / 2 ⇒ x = 8.
From Eq 1: 8 + y = 15 ⇒ y = 7.
👉 x = 8, y = 7
Q3. A life insurance agent found the following data for distribution of ages of 100 policy holders. Calculate the median age:
| Age (Years) | 15-20 | 20-25 | 25-30 | 30-35 | 35-40 | 40-45 | 45-50 | 50-55 | 55-60 |
|---|---|---|---|---|---|---|---|---|---|
| fᵢ | 2 | 4 | 18 | 21 | 33 | 11 | 3 | 6 | 2 |
| cf | 2 | 6 | 24 | 45 | 78 | 89 | 92 | 98 | 100 |
N = 100 ⇒ N / 2 = 50. Median class = 35 - 40.
l = 35, cf = 45, f = 33, h = 5.
Median = 35 + [(50 - 45) / 33] × 5 = 35 + [25 / 33] = 35.76 years.
👉 Median Age = 35.76 years
Q4. The lengths of 40 leaves of a plant are measured correct to the nearest millimetre. Find the median length of the leaves.
| Length (mm) | 117.5-126.5 | 126.5-135.5 | 135.5-144.5 | 144.5-153.5 | 153.5-162.5 | 162.5-171.5 | 171.5-180.5 |
|---|---|---|---|---|---|---|---|
| Leaves (fᵢ) | 3 | 5 | 9 | 12 | 5 | 4 | 2 |
| cf | 3 | 8 | 17 | 29 | 34 | 38 | 40 |
Converting to continuous boundaries: Subtract 0.5 from lower limits and add 0.5 to upper limits.
N = 40 ⇒ N / 2 = 20. Median class = 144.5 - 153.5.
l = 144.5, cf = 17, f = 12, h = 9.
Median = 144.5 + [(20 - 17) / 12] × 9 = 144.5 + [27 / 12] = 144.5 + 2.25 = 146.75 mm.
👉 Median Length = 146.75 mm
Q5. The following table gives the distribution of the life time of 400 neon lamps. Find the median life time of a lamp:
| Life Time (hrs) | 1500-2000 | 2000-2500 | 2500-3000 | 3000-3500 | 3500-4000 | 4000-4500 | 4500-5000 |
|---|---|---|---|---|---|---|---|
| Lamps (fᵢ) | 14 | 56 | 60 | 86 | 74 | 62 | 48 |
| cf | 14 | 70 | 130 | 216 | 290 | 352 | 400 |
N = 400 ⇒ N / 2 = 200. Median class = 3000 - 3500.
l = 3000, cf = 130, f = 86, h = 500.
Median = 3000 + [(200 - 130) / 86] × 500 = 3000 + 406.98 = 3406.98 hours.
👉 Median Lifetime = 3406.98 hours
Q6. 100 surnames were randomly picked up from a local telephone directory. Determine the median number of letters in the surnames.
| No. of Letters | 1 - 4 | 4 - 7 | 7 - 10 | 10 - 13 | 13 - 16 | 16 - 19 |
|---|---|---|---|---|---|---|
| Surnames (fᵢ) | 6 | 30 | 40 | 16 | 4 | 4 |
| cf | 6 | 36 | 76 | 92 | 96 | 100 |
N = 100 ⇒ N / 2 = 50. Median class = 7 - 10.
l = 7, cf = 36, f = 40, h = 3.
Median = 7 + [(50 - 36) / 40] × 3 = 7 + [42 / 40] = 7 + 1.05 = 8.05.
👉 Median Number of Letters = 8.05
Q7. The distribution below gives the weight of 30 students of a class. Find the median weight of the students.
| Weight (kg) | 40 - 45 | 45 - 50 | 50 - 55 | 55 - 60 | 60 - 65 | 65 - 70 | 70 - 75 |
|---|---|---|---|---|---|---|---|
| Students (fᵢ) | 2 | 3 | 8 | 6 | 6 | 3 | 2 |
| cf | 2 | 5 | 13 | 19 | 25 | 28 | 30 |
N = 30 ⇒ N / 2 = 15. Median class = 55 - 60.
l = 55, cf = 13, f = 6, h = 5.
Median = 55 + [(15 - 13) / 6] × 5 = 55 + 1.67 = 56.67 kg.
👉 Median Weight = 56.67 kg
EXERCISE 14.4 — Cumulative Frequency Curves (Ogives with Vector Graphs)
Q1. The following distribution gives the daily income of 50 workers of a factory. Convert the distribution to a 'less than type' cumulative frequency distribution, and draw its ogive.
| Upper Limit (Income less than ₹) | Less than 120 | Less than 140 | Less than 160 | Less than 180 | Less than 200 |
|---|---|---|---|---|---|
| Cumulative Frequency (cf) | 12 | 26 | 34 | 40 | 50 |
| Plotting Points (X, Y) | (120, 12) | (140, 26) | (160, 34) | (180, 40) | (200, 50) |
Figure 14.1: Less Than Type Ogive for Daily Income Distribution
Q2. During the medical check-up of 35 students of a class, their weights were recorded. Draw a 'less than type ogive' for the given data and obtain the median weight from the graph.
| Weight (in kg) | < 38 | < 40 | < 42 | < 44 | < 46 | < 48 | < 50 | < 52 |
|---|---|---|---|---|---|---|---|---|
| No. of Students (cf) | 0 | 3 | 5 | 9 | 14 | 28 | 32 | 35 |
Figure 14.2: Less Than Ogive Curve and Graphical Determination of Median (46.5 kg)
N = 35 ⇒ N / 2 = 17.5.
Locate y = 17.5 on Y-axis and draw a horizontal line to intersect the ogive. Drop a perpendicular from the intersection point to the X-axis.
👉 Median Weight from Ogive Graph ≈ 46.5 kg
Q3. The following table gives production yield per hectare of wheat of 100 farms of a village. Change the distribution to a 'more than type' distribution, and draw its ogive.
| Lower Limit (Yield ≥) | ≥ 50 | ≥ 55 | ≥ 60 | ≥ 65 | ≥ 70 | ≥ 75 |
|---|---|---|---|---|---|---|
| Cumulative Frequency (cf) | 100 | 98 | 90 | 78 | 54 | 16 |
| Plotting Points (X, Y) | (50, 100) | (55, 98) | (60, 90) | (65, 78) | (70, 54) | (75, 16) |
Figure 14.3: More Than Type Ogive Curve for Wheat Yield

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