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From Class X Mathematics textbook by the State Council of Educational Research and Training, Telangana, Hyderabad
The following distribution gives the daily income of 50 workers of a factory.
| Daily income (in Rupees) | 250-300 | 300-350 | 350-400 | 400-450 | 450-500 |
|---|---|---|---|---|---|
| Number of workers | 12 | 14 | 8 | 6 | 10 |
Convert the distribution above to a less than type cumulative frequency distribution, and draw its ogive.
Step 1: Convert to less than type cumulative frequency distribution:
| Daily income less than (in Rupees) | 300 | 350 | 400 | 450 | 500 |
|---|---|---|---|---|---|
| Cumulative frequency | 12 | 12+14=26 | 26+8=34 | 34+6=40 | 40+10=50 |
During the medical check-up of 35 students of a class, their weights were recorded as follows:
| Weight (in kg) | Less than 38 | Less than 40 | Less than 42 | Less than 44 | Less than 46 | Less than 48 | Less than 50 | Less than 52 |
|---|---|---|---|---|---|---|---|---|
| Number of students | 0 | 3 | 5 | 9 | 14 | 28 | 32 | 35 |
Draw a less than type ogive for the given data. Hence obtain the median weight from the graph and verify the result by using the formula.
Step 1: The data is already in less than type cumulative frequency form.
Step 2: Drawing the ogive:
Ogive (Less than type) for weights of students
Step 3: Finding median from the graph:
Total number of students (n) = 35
Median position = n/2 = 17.5
From the graph, the x-coordinate corresponding to y=17.5 is approximately 46.5 kg.
Step 4: Verifying using the formula:
The median class is 46-48 (since 17.5 falls in the cumulative frequency of 28)
Using the formula:
\[ \text{Median} = L + \left(\frac{\frac{n}{2} – cf}{f}\right) \times h \]
Where:
L = 46 (lower limit of median class)
cf = 14 (cumulative frequency before median class)
f = 14 (frequency of median class)
h = 2 (class width)
\[ \text{Median} = 46 + \left(\frac{17.5 – 14}{14}\right) \times 2 = 46 + \left(\frac{3.5}{14}\right) \times 2 = 46 + 0.5 = 46.5 \text{ kg} \]
This matches our graphical estimate.
The following table gives production yield per hectare of wheat of 100 farms of a village.
| Production yield (Quintal/Hectare) | 50-55 | 55-60 | 60-65 | 65-70 | 70-75 | 75-80 |
|---|---|---|---|---|---|---|
| Number of farmers | 2 | 8 | 12 | 24 | 38 | 16 |
Change the distribution to a more than type distribution, and draw its ogive.
Step 1: Convert to more than type cumulative frequency distribution:
| Production yield more than (Quintal/Hectare) | 50 | 55 | 60 | 65 | 70 | 75 |
|---|---|---|---|---|---|---|
| Cumulative frequency | 100 | 100-2=98 | 98-8=90 | 90-12=78 | 78-24=54 | 54-38=16 |
Step 2: Drawing the ogive (more than type):
Ogive (More than type) for production yield
Class X Mathematics – State Council of Educational Research and Training, Telangana, Hyderabad
| Monthly consumption | 65-85 | 85-105 | 105-125 | 125-145 | 145-165 | 165-185 | 185-205 |
|---|---|---|---|---|---|---|---|
| Number of consumers | 4 | 5 | 13 | 20 | 14 | 8 | 4 |
Median:
First, we calculate cumulative frequencies:
| Class | Frequency | Cumulative Frequency |
|---|---|---|
| 65-85 | 4 | 4 |
| 85-105 | 5 | 9 |
| 105-125 | 13 | 22 |
| 125-145 | 20 | 42 |
| 145-165 | 14 | 56 |
| 165-185 | 8 | 64 |
| 185-205 | 4 | 68 |
Median class is where cumulative frequency ≥ n/2 = 34 → 125-145
Using median formula:
Median = L + [(n/2 – CF)/f] × h
Where L = 125, n = 68, CF = 22, f = 20, h = 20
Median = 125 + [(34 – 22)/20] × 20 = 125 + 12 = 137
Mean:
Using assumed mean method with A = 135:
| Class | Midpoint (x) | Frequency (f) | d = (x – A)/h | f × d |
|---|---|---|---|---|
| 65-85 | 75 | 4 | -3 | -12 |
| 85-105 | 95 | 5 | -2 | -10 |
| 105-125 | 115 | 13 | -1 | -13 |
| 125-145 | 135 | 20 | 0 | 0 |
| 145-165 | 155 | 14 | 1 | 14 |
| 165-185 | 175 | 8 | 2 | 16 |
| 185-205 | 195 | 4 | 3 | 12 |
| Total | 7 | |||
Mean = A + (Σfd/Σf) × h = 135 + (7/68) × 20 ≈ 137.06
Mode:
Modal class is 125-145 (highest frequency = 20)
Using mode formula:
Mode = L + [(f₁ – f₀)/(2f₁ – f₀ – f₂)] × h
Where L = 125, f₁ = 20, f₀ = 13, f₂ = 14, h = 20
Mode = 125 + [(20 – 13)/(40 – 13 – 14)] × 20 ≈ 125 + (7/13) × 20 ≈ 135.77
Comparison: Mean (137.06) > Median (137) > Mode (135.77)
| Class interval | 0-10 | 10-20 | 20-30 | 30-40 | 40-50 | 50-60 |
|---|---|---|---|---|---|---|
| Frequency | 5 | x | 20 | 15 | y | 5 |
Given median = 28.5, n = 60
Total observations: 5 + x + 20 + 15 + y + 5 = 60 ⇒ x + y = 15
Median class is where cumulative frequency ≥ n/2 = 30 → 20-30
Using median formula:
28.5 = 20 + [(30 – (5 + x))/20] × 10
8.5 = (25 – x)/2 ⇒ 17 = 25 – x ⇒ x = 8
Since x + y = 15 ⇒ y = 7
Solution: x = 8, y = 7
| Age (in years) | Below 20 | Below 25 | Below 30 | Below 35 | Below 40 | Below 45 | Below 50 | Below 55 | Below 60 |
|---|---|---|---|---|---|---|---|---|---|
| Number of policy holders | 2 | 6 | 24 | 45 | 78 | 89 | 92 | 98 | 100 |
First convert to frequency distribution:
| Class | Frequency | Cumulative Frequency |
|---|---|---|
| 18-20 | 2 | 2 |
| 20-25 | 4 | 6 |
| 25-30 | 18 | 24 |
| 30-35 | 21 | 45 |
| 35-40 | 33 | 78 |
| 40-45 | 11 | 89 |
| 45-50 | 3 | 92 |
| 50-55 | 6 | 98 |
| 55-60 | 2 | 100 |
Median class is where cumulative frequency ≥ n/2 = 50 → 35-40
Using median formula:
Median = 35 + [(50 – 45)/33] × 5 ≈ 35 + 0.76 ≈ 35.76 years
| Length (in mm) | 118-126 | 127-135 | 136-144 | 145-153 | 154-162 | 163-171 | 172-180 |
|---|---|---|---|---|---|---|---|
| Number of leaves | 3 | 5 | 9 | 12 | 5 | 4 | 2 |
Convert to continuous classes as suggested:
| Class | Frequency | Cumulative Frequency |
|---|---|---|
| 117.5-126.5 | 3 | 3 |
| 126.5-135.5 | 5 | 8 |
| 135.5-144.5 | 9 | 17 |
| 144.5-153.5 | 12 | 29 |
| 153.5-162.5 | 5 | 34 |
| 162.5-171.5 | 4 | 38 |
| 171.5-180.5 | 2 | 40 |
Median class is where cumulative frequency ≥ n/2 = 20 → 144.5-153.5
Using median formula:
Median = 144.5 + [(20 – 17)/12] × 9 = 144.5 + 2.25 = 146.75 mm
| Life time (in hours) | 1500-2000 | 2000-2500 | 2500-3000 | 3000-3500 | 3500-4000 | 4000-4500 | 4500-5000 |
|---|---|---|---|---|---|---|---|
| Number of lamps | 14 | 56 | 60 | 86 | 74 | 62 | 48 |
Calculate cumulative frequencies:
| Class | Frequency | Cumulative Frequency |
|---|---|---|
| 1500-2000 | 14 | 14 |
| 2000-2500 | 56 | 70 |
| 2500-3000 | 60 | 130 |
| 3000-3500 | 86 | 216 |
| 3500-4000 | 74 | 290 |
| 4000-4500 | 62 | 352 |
| 4500-5000 | 48 | 400 |
Median class is where cumulative frequency ≥ n/2 = 200 → 3000-3500
Using median formula:
Median = 3000 + [(200 – 130)/86] × 500 ≈ 3000 + 406.98 ≈ 3406.98 hours
| Number of letters | 1-4 | 4-7 | 7-10 | 10-13 | 13-16 | 16-19 |
|---|---|---|---|---|---|---|
| Number of surnames | 6 | 30 | 40 | 16 | 4 | 4 |
Median:
First make classes continuous and calculate cumulative frequencies:
| Class | Frequency | Cumulative Frequency |
|---|---|---|
| 0.5-4.5 | 6 | 6 |
| 4.5-7.5 | 30 | 36 |
| 7.5-10.5 | 40 | 76 |
| 10.5-13.5 | 16 | 92 |
| 13.5-16.5 | 4 | 96 |
| 16.5-19.5 | 4 | 100 |
Median class is where cumulative frequency ≥ n/2 = 50 → 7.5-10.5
Median = 7.5 + [(50 – 36)/40] × 3 = 7.5 + 1.05 = 8.55
Mean:
Using midpoint method:
| Class | Midpoint (x) | Frequency (f) | f × x |
|---|---|---|---|
| 1-4 | 2.5 | 6 | 15 |
| 4-7 | 5.5 | 30 | 165 |
| 7-10 | 8.5 | 40 | 340 |
| 10-13 | 11.5 | 16 | 184 |
| 13-16 | 14.5 | 4 | 58 |
| 16-19 | 17.5 | 4 | 70 |
| Total | 100 | 832 | |
Mean = Σfx/Σf = 832/100 = 8.32
Mode:
Modal class is 7-10 (highest frequency = 40)
Mode = L + [(f₁ – f₀)/(2f₁ – f₀ – f₂)] × h
Where L = 7, f₁ = 40, f₀ = 30, f₂ = 16, h = 3
Mode = 7 + [(40 – 30)/(80 – 30 – 16)] × 3 ≈ 7 + (10/34) × 3 ≈ 7.88
| Weight (in kg) | 40-45 | 45-50 | 50-55 | 55-60 | 60-65 | 65-70 | 70-75 |
|---|---|---|---|---|---|---|---|
| Number of students | 2 | 3 | 8 | 6 | 6 | 3 | 2 |
Calculate cumulative frequencies:
| Class | Frequency | Cumulative Frequency |
|---|---|---|
| 40-45 | 2 | 2 |
| 45-50 | 3 | 5 |
| 50-55 | 8 | 13 |
| 55-60 | 6 | 19 |
| 60-65 | 6 | 25 |
| 65-70 | 3 | 28 |
| 70-75 | 2 | 30 |
Median class is where cumulative frequency ≥ n/2 = 15 → 55-60
Using median formula:
Median = 55 + [(15 – 13)/6] × 5 ≈ 55 + 1.67 ≈ 56.67 kg
Class X Mathematics
State Council of Educational Research and Training, Telangana, Hyderabad
The following table shows the ages of the patients admitted in a hospital on a particular day:
| Age (in years) | 5-15 | 15-25 | 25-35 | 35-45 | 45-55 | 55-65 |
|---|---|---|---|---|---|---|
| Number of patients | 6 | 11 | 21 | 23 | 14 | 5 |
Find the mode and the mean of the data given above. Compare and interpret the two measures of central tendency.
Solution:
The modal class is the class with the highest frequency. Here, the highest frequency is 23, which corresponds to the class 35-45.
Using the mode formula:
Mode = L + [(f₁ – f₀)/(2f₁ – f₀ – f₂)] × h
Where:
L = lower limit of modal class = 35
f₁ = frequency of modal class = 23
f₀ = frequency of class preceding modal class = 21
f₂ = frequency of class succeeding modal class = 14
h = class width = 10
Mode = 35 + [(23 – 21)/(2×23 – 21 – 14)] × 10
= 35 + [2/(46 – 35)] × 10
= 35 + (2/11) × 10
= 35 + 1.818 ≈ 36.82
| Class Interval | Midpoint (xi) | Frequency (fi) | fixi |
|---|---|---|---|
| 5-15 | 10 | 6 | 60 |
| 15-25 | 20 | 11 | 220 |
| 25-35 | 30 | 21 | 630 |
| 35-45 | 40 | 23 | 920 |
| 45-55 | 50 | 14 | 700 |
| 55-65 | 60 | 5 | 300 |
| Total | 80 | 2830 | |
Mean = \(\frac{\sum f_ix_i}{\sum f_i} = \frac{2830}{80} = 35.375\)
Mode = 36.82 years, Mean = 35.38 years
The mode (36.82) is slightly higher than the mean (35.38), indicating that the most common age group of patients is slightly older than the average age of all patients. Both values suggest that most patients admitted are in their mid-30s to mid-40s.
The following data gives the information on the observed life times (in hours) of 225 electrical components:
| Lifetimes (in hours) | 0-20 | 20-40 | 40-60 | 60-80 | 80-100 | 100-120 |
|---|---|---|---|---|---|---|
| Frequency | 10 | 35 | 52 | 61 | 38 | 29 |
Determine the modal lifetimes of the components.
Solution:
The modal class is the class with the highest frequency. Here, the highest frequency is 61, which corresponds to the class 60-80.
Using the mode formula:
Mode = L + [(f₁ – f₀)/(2f₁ – f₀ – f₂)] × h
Where:
L = lower limit of modal class = 60
f₁ = frequency of modal class = 61
f₀ = frequency of class preceding modal class = 52
f₂ = frequency of class succeeding modal class = 38
h = class width = 20
Mode = 60 + [(61 – 52)/(2×61 – 52 – 38)] × 20
= 60 + [9/(122 – 90)] × 20
= 60 + (9/32) × 20
= 60 + 5.625 = 65.625
Modal lifetime of components = 65.63 hours
The following data gives the distribution of total monthly household expenditure of 200 families of Gummadidala village. Find the modal monthly expenditure of the families. Also, find the mean monthly expenditure:
| Expenditure (in rupees) | 1000-1500 | 1500-2000 | 2000-2500 | 2500-3000 | 3000-3500 | 3500-4000 | 4000-4500 | 4500-5000 |
|---|---|---|---|---|---|---|---|---|
| Number of families | 24 | 40 | 33 | 28 | 30 | 22 | 16 | 7 |
Solution:
The modal class is the class with the highest frequency. Here, the highest frequency is 40, which corresponds to the class 1500-2000.
Using the mode formula:
Mode = L + [(f₁ – f₀)/(2f₁ – f₀ – f₂)] × h
Where:
L = lower limit of modal class = 1500
f₁ = frequency of modal class = 40
f₀ = frequency of class preceding modal class = 24
f₂ = frequency of class succeeding modal class = 33
h = class width = 500
Mode = 1500 + [(40 – 24)/(2×40 – 24 – 33)] × 500
= 1500 + [16/(80 – 57)] × 500
= 1500 + (16/23) × 500
= 1500 + 347.83 ≈ 1847.83
We’ll use the step-deviation method with assumed mean a = 2750 and class width h = 500
| Class Interval | Midpoint (xi) | Frequency (fi) | di = xi – a | ui = di/h | fiui |
|---|---|---|---|---|---|
| 1000-1500 | 1250 | 24 | -1500 | -3 | -72 |
| 1500-2000 | 1750 | 40 | -1000 | -2 | -80 |
| 2000-2500 | 2250 | 33 | -500 | -1 | -33 |
| 2500-3000 | 2750 (a) | 28 | 0 | 0 | 0 |
| 3000-3500 | 3250 | 30 | 500 | 1 | 30 |
| 3500-4000 | 3750 | 22 | 1000 | 2 | 44 |
| 4000-4500 | 4250 | 16 | 1500 | 3 | 48 |
| 4500-5000 | 4750 | 7 | 2000 | 4 | 28 |
| Total | -35 | ||||
Mean = \(a + \left(\frac{\sum f_iu_i}{\sum f_i}\right) \times h = 2750 + \left(\frac{-35}{200}\right) \times 500 = 2750 – 87.5 = 2662.5\)
Modal monthly expenditure = ₹1847.83
Mean monthly expenditure = ₹2662.50
The following distribution gives the state-wise, teacher-student ratio in higher secondary schools of India. Find the mode and mean of this data. Interpret the two measures.
| Number of students per teacher | 15-20 | 20-25 | 25-30 | 30-35 | 35-40 | 40-45 | 45-50 | 50-55 |
|---|---|---|---|---|---|---|---|---|
| Number of States | 3 | 8 | 9 | 10 | 3 | 0 | 0 | 2 |
Solution:
The modal class is the class with the highest frequency. Here, the highest frequency is 10, which corresponds to the class 30-35.
Using the mode formula:
Mode = L + [(f₁ – f₀)/(2f₁ – f₀ – f₂)] × h
Where:
L = lower limit of modal class = 30
f₁ = frequency of modal class = 10
f₀ = frequency of class preceding modal class = 9
f₂ = frequency of class succeeding modal class = 3
h = class width = 5
Mode = 30 + [(10 – 9)/(2×10 – 9 – 3)] × 5
= 30 + [1/(20 – 12)] × 5
= 30 + (1/8) × 5
= 30 + 0.625 = 30.625
| Class Interval | Midpoint (xi) | Frequency (fi) | fixi |
|---|---|---|---|
| 15-20 | 17.5 | 3 | 52.5 |
| 20-25 | 22.5 | 8 | 180 |
| 25-30 | 27.5 | 9 | 247.5 |
| 30-35 | 32.5 | 10 | 325 |
| 35-40 | 37.5 | 3 | 112.5 |
| 40-45 | 42.5 | 0 | 0 |
| 45-50 | 47.5 | 0 | 0 |
| 50-55 | 52.5 | 2 | 105 |
| Total | 35 | 1022.5 | |
Mean = \(\frac{\sum f_ix_i}{\sum f_i} = \frac{1022.5}{35} \approx 29.21\)
Mode = 30.62 students per teacher
Mean = 29.21 students per teacher
The mode (30.62) is slightly higher than the mean (29.21), indicating that the most common student-teacher ratio is slightly higher than the average ratio across all states. This suggests that while most states have about 30-31 students per teacher, some states with lower ratios bring the average down slightly.
The given distribution shows the number of runs scored by some top batsmen of the world in one-day international cricket matches.
| Runs | 3000-4000 | 4000-5000 | 5000-6000 | 6000-7000 | 7000-8000 | 8000-9000 | 9000-10000 | 10000-11000 |
|---|---|---|---|---|---|---|---|---|
| Number of batsmen | 4 | 18 | 9 | 7 | 6 | 3 | 1 | 1 |
Find the mode of the data.
Solution:
The modal class is the class with the highest frequency. Here, the highest frequency is 18, which corresponds to the class 4000-5000.
Using the mode formula:
Mode = L + [(f₁ – f₀)/(2f₁ – f₀ – f₂)] × h
Where:
L = lower limit of modal class = 4000
f₁ = frequency of modal class = 18
f₀ = frequency of class preceding modal class = 4
f₂ = frequency of class succeeding modal class = 9
h = class width = 1000
Mode = 4000 + [(18 – 4)/(2×18 – 4 – 9)] × 1000
= 4000 + [14/(36 – 13)] × 1000
= 4000 + (14/23) × 1000
= 4000 + 608.70 ≈ 4608.70
Modal runs scored by batsmen = 4608.70 runs
A student noted the number of cars passing through a spot on a road for 100 periods, each of 3 minutes, and summarised this in the table given below.
| Number of cars | 0-10 | 10-20 | 20-30 | 30-40 | 40-50 | 50-60 | 60-70 | 70-80 |
|---|---|---|---|---|---|---|---|---|
| Frequency | 7 | 14 | 13 | 12 | 20 | 11 | 15 | 8 |
Find the mode of the data.
Solution:
The modal class is the class with the highest frequency. Here, the highest frequency is 20, which corresponds to the class 40-50.
Using the mode formula:
Mode = L + [(f₁ – f₀)/(2f₁ – f₀ – f₂)] × h
Where:
L = lower limit of modal class = 40
f₁ = frequency of modal class = 20
f₀ = frequency of class preceding modal class = 12
f₂ = frequency of class succeeding modal class = 11
h = class width = 10
Mode = 40 + [(20 – 12)/(2×20 – 12 – 11)] × 10
= 40 + [8/(40 – 23)] × 10
= 40 + (8/17) × 10
= 40 + 4.71 ≈ 44.71
Mode number of cars passing = 44.71 cars per 3-minute period
Class X Mathematics
State Council of Educational Research and Training, Telangana, Hyderabad
A survey was conducted by a group of students as a part of their environment awareness programme, 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 |
Solution:
To find the mean, we’ll use the midpoint of each class interval and multiply by frequency.
| Class Interval | Midpoint (xi) | Frequency (fi) | fixi |
|---|---|---|---|
| 0-2 | 1 | 1 | 1 |
| 2-4 | 3 | 2 | 6 |
| 4-6 | 5 | 1 | 5 |
| 6-8 | 7 | 5 | 35 |
| 8-10 | 9 | 6 | 54 |
| 10-12 | 11 | 2 | 22 |
| 12-14 | 13 | 3 | 39 |
| Total | 20 | 162 | |
Mean = \(\frac{\sum f_ix_i}{\sum f_i} = \frac{162}{20} = 8.1\)
Mean number of plants per house = 8.1
Consider the following distribution of daily wages of 50 workers of a factory.
| Daily wages in Rupees | 200 – 250 | 250 – 300 | 300 – 350 | 350 – 400 | 400 – 450 |
|---|---|---|---|---|---|
| Number of workers | 12 | 14 | 8 | 6 | 10 |
Find the mean daily wages of the workers of the factory by using an appropriate method.
Solution:
We’ll use the step-deviation method with assumed mean a = 325 and class width h = 50
| Class Interval | Midpoint (xi) | Frequency (fi) | di = xi – a | ui = di/h | fiui |
|---|---|---|---|---|---|
| 200-250 | 225 | 12 | -100 | -2 | -24 |
| 250-300 | 275 | 14 | -50 | -1 | -14 |
| 300-350 | 325 (a) | 8 | 0 | 0 | 0 |
| 350-400 | 375 | 6 | 50 | 1 | 6 |
| 400-450 | 425 | 10 | 100 | 2 | 20 |
| Total | -12 | ||||
Mean = \(a + \left(\frac{\sum f_iu_i}{\sum f_i}\right) \times h = 325 + \left(\frac{-12}{50}\right) \times 50 = 325 – 12 = 313\)
Mean daily wages = ₹313
The following distribution shows the daily pocket allowance of children of a locality. The mean pocket allowance is ₹18. Find the missing frequency \( f \).
| Daily pocket allowance (in Rupees) | 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:
Let’s calculate the sum of frequencies and products of midpoints and frequencies.
| Class Interval | Midpoint (xi) | Frequency (fi) | fixi |
|---|---|---|---|
| 11-13 | 12 | 7 | 84 |
| 13-15 | 14 | 6 | 84 |
| 15-17 | 16 | 9 | 144 |
| 17-19 | 18 | 13 | 234 |
| 19-21 | 20 | f | 20f |
| 21-23 | 22 | 5 | 110 |
| 23-25 | 24 | 4 | 96 |
| Total | 44 + f | 752 + 20f | |
Given mean = 18
\(\frac{752 + 20f}{44 + f} = 18\)
752 + 20f = 792 + 18f
2f = 40
f = 20
The missing frequency \( f = 20 \)
Thirty women were examined in a hospital by a doctor and their heart beats per minute were recorded and summarised as shown. Find the mean heart beats per minute for these women, choosing a suitable method.
| Number of heart beats/minute | 65-68 | 68-71 | 71-74 | 74-77 | 77-80 | 80-83 | 83-86 |
|---|---|---|---|---|---|---|---|
| Number of women | 2 | 4 | 3 | 8 | 7 | 4 | 2 |
Solution:
We’ll use the direct method to find the mean.
| Class Interval | Midpoint (xi) | Frequency (fi) | fixi |
|---|---|---|---|
| 65-68 | 66.5 | 2 | 133 |
| 68-71 | 69.5 | 4 | 278 |
| 71-74 | 72.5 | 3 | 217.5 |
| 74-77 | 75.5 | 8 | 604 |
| 77-80 | 78.5 | 7 | 549.5 |
| 80-83 | 81.5 | 4 | 326 |
| 83-86 | 84.5 | 2 | 169 |
| Total | 30 | 2277 | |
Mean = \(\frac{\sum f_ix_i}{\sum f_i} = \frac{2277}{30} = 75.9\)
Mean heart beats per minute = 75.9
In a retail market, fruit vendors were selling oranges kept in packing baskets. These baskets contained varying number of oranges. The following was the distribution of oranges.
| Number of oranges | 10-14 | 15-19 | 20-24 | 25-29 | 30-34 |
|---|---|---|---|---|---|
| Number of baskets | 15 | 110 | 135 | 115 | 25 |
Find the mean number of oranges kept in each basket. Which method of finding the mean did you choose?
Solution:
We’ll use the step-deviation method with assumed mean a = 22 and class width h = 5
| Class Interval | Midpoint (xi) | Frequency (fi) | di = xi – a | ui = di/h | fiui |
|---|---|---|---|---|---|
| 10-14 | 12 | 15 | -10 | -2 | -30 |
| 15-19 | 17 | 110 | -5 | -1 | -110 |
| 20-24 | 22 (a) | 135 | 0 | 0 | 0 |
| 25-29 | 27 | 115 | 5 | 1 | 115 |
| 30-34 | 32 | 25 | 10 | 2 | 50 |
| Total | 25 | ||||
Mean = \(a + \left(\frac{\sum f_iu_i}{\sum f_i}\right) \times h = 22 + \left(\frac{25}{400}\right) \times 5 = 22 + \frac{125}{400} = 22 + 0.3125 = 22.3125\)
Mean number of oranges per basket = 22.31 (approx)
We chose the step-deviation method because the class intervals are equal and the frequencies are large.
The table below shows the daily expenditure on food of 25 households in a locality.
| Daily expenditure (in Rupees) | 100-150 | 150-200 | 200-250 | 250-300 | 300-350 |
|---|---|---|---|---|---|
| Number of households | 4 | 5 | 12 | 2 | 2 |
Find the mean daily expenditure on food by a suitable method.
Solution:
We’ll use the direct method to find the mean.
| Class Interval | Midpoint (xi) | Frequency (fi) | fixi |
|---|---|---|---|
| 100-150 | 125 | 4 | 500 |
| 150-200 | 175 | 5 | 875 |
| 200-250 | 225 | 12 | 2700 |
| 250-300 | 275 | 2 | 550 |
| 300-350 | 325 | 2 | 650 |
| Total | 25 | 5275 | |
Mean = \(\frac{\sum f_ix_i}{\sum f_i} = \frac{5275}{25} = 211\)
Mean daily expenditure on food = ₹211
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 and is presented below:
| Concentration of SO2 in 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 |
Find the mean concentration of SO2 in the air.
Solution:
We’ll use the direct method to find the mean.
| Class Interval | Midpoint (xi) | Frequency (fi) | fixi |
|---|---|---|---|
| 0.00-0.04 | 0.02 | 4 | 0.08 |
| 0.04-0.08 | 0.06 | 9 | 0.54 |
| 0.08-0.12 | 0.10 | 9 | 0.90 |
| 0.12-0.16 | 0.14 | 2 | 0.28 |
| 0.16-0.20 | 0.18 | 4 | 0.72 |
| 0.20-0.24 | 0.22 | 2 | 0.44 |
| Total | 30 | 2.96 | |
Mean = \(\frac{\sum f_ix_i}{\sum f_i} = \frac{2.96}{30} \approx 0.0987\)
Mean concentration of SO2 = 0.099 ppm (approx)
A class teacher has the following attendance record of 40 students of a class for the whole term. Find the mean number of days a student was present out of 56 days in the term.
| Number of days | 35-38 | 38-41 | 41-44 | 44-47 | 47-50 | 50-53 | 53-56 |
|---|---|---|---|---|---|---|---|
| Number of students | 1 | 3 | 4 | 4 | 7 | 10 | 11 |
Solution:
We’ll use the direct method to find the mean.
| Class Interval | Midpoint (xi) | Frequency (fi) | fixi |
|---|---|---|---|
| 35-38 | 36.5 | 1 | 36.5 |
| 38-41 | 39.5 | 3 | 118.5 |
| 41-44 | 42.5 | 4 | 170 |
| 44-47 | 45.5 | 4 | 182 |
| 47-50 | 48.5 | 7 | 339.5 |
| 50-53 | 51.5 | 10 | 515 |
| 53-56 | 54.5 | 11 | 599.5 |
| Total | 40 | 1961 | |
Mean = \(\frac{\sum f_ix_i}{\sum f_i} = \frac{1961}{40} = 49.025\)
Mean number of days present = 49.03 days (approx)
The following table gives the literacy rate (in percentage) of 35 cities. Find the mean literacy rate.
| Literacy rate in % | 45-55 | 55-65 | 65-75 | 75-85 | 85-95 |
|---|---|---|---|---|---|
| Number of cities | 3 | 10 | 11 | 8 | 3 |
Solution:
We’ll use the direct method to find the mean.
| Class Interval | Midpoint (xi) | Frequency (fi) | fixi |
|---|---|---|---|
| 45-55 | 50 | 3 | 150 |
| 55-65 | 60 | 10 | 600 |
| 65-75 | 70 | 11 | 770 |
| 75-85 | 80 | 8 | 640 |
| 85-95 | 90 | 3 | 270 |
| Total | 35 | 2430 | |
Mean = \(\frac{\sum f_ix_i}{\sum f_i} = \frac{2430}{35} \approx 69.43\)
Mean literacy rate = 69.43%
Probability – Class X Mathematics
A bag contains 3 red balls and 5 black balls. A ball is selected at random from the bag. What is the probability that the ball selected is:
(i) red? (ii) not red?
Total number of balls = 3 (red) + 5 (black) = 8
(i) Probability of selecting a red ball = \(\frac{\text{Number of red balls}}{\text{Total balls}} = \frac{3}{8}\)
(ii) Probability of not selecting a red ball = 1 – Probability of selecting red ball = \(1 – \frac{3}{8} = \frac{5}{8}\)
A box contains 5 red marbles, 8 white marbles and 4 green marbles. One marble is taken out of the box at random. What is the probability that the marble taken out will be:
(i) red? (ii) white? (iii) not green?
Total marbles = 5 (red) + 8 (white) + 4 (green) = 17
(i) Probability of red marble = \(\frac{5}{17}\)
(ii) Probability of white marble = \(\frac{8}{17}\)
(iii) Probability of not green marble = 1 – Probability of green marble = \(1 – \frac{4}{17} = \frac{13}{17}\)
A Kiddy bank contains hundred 50p coins, fifty ₹1 coins, twenty ₹2 coins and ten ₹5 coins. If it is equally likely that one of the coins will fall out when the bank is turned upside down, what is the probability that the coin:
(i) will be a 50p coin? (ii) will not be a ₹5 coin?
Total coins = 100 (50p) + 50 (₹1) + 20 (₹2) + 10 (₹5) = 180
(i) Probability of 50p coin = \(\frac{100}{180} = \frac{5}{9}\)
(ii) Probability of not ₹5 coin = 1 – Probability of ₹5 coin = \(1 – \frac{10}{180} = \frac{170}{180} = \frac{17}{18}\)
Gopi buys a fish from a shop for his aquarium. The shopkeeper takes out one fish at random from a tank containing 5 male fish and 8 female fish. What is the probability that the fish taken out is a male fish?
Diagram Description: A rectangular fish tank containing 5 male fish (shown as smaller, colorful fish) and 8 female fish (shown as larger, less colorful fish). The shopkeeper is using a net to catch one fish at random.
Total fish = 5 (male) + 8 (female) = 13
Probability of male fish = \(\frac{5}{13}\)
A game of chance consists of spinning an arrow which comes to rest pointing at one of the numbers 1, 2, 3, 4, 5, 6, 7, 8 (See figure), and these are equally likely outcomes. What is the probability that it will point at:
(i) 8? (ii) an odd number? (iii) a number greater than 2? (iv) a number less than 9?
Diagram Description: A circular spinner divided into 8 equal sectors numbered 1 through 8 clockwise. An arrow is fixed at the center that can spin freely.
Total possible outcomes = 8
(i) Probability of pointing at 8 = \(\frac{1}{8}\)
(ii) Odd numbers = {1, 3, 5, 7} → 4 outcomes. Probability = \(\frac{4}{8} = \frac{1}{2}\)
(iii) Numbers > 2 = {3, 4, 5, 6, 7, 8} → 6 outcomes. Probability = \(\frac{6}{8} = \frac{3}{4}\)
(iv) Numbers < 9 = {1, 2, 3, 4, 5, 6, 7, 8} → 8 outcomes. Probability = \(\frac{8}{8} = 1\)
One card is selected from a well-shuffled deck of 52 cards. Find the probability of getting:
(i) a king of red colour (ii) a face card (iii) a red face card (iv) the jack of hearts (v) a spade (vi) the queen of diamonds
Total cards = 52
(i) King of red colour: There are 2 (King of Hearts and King of Diamonds). Probability = \(\frac{2}{52} = \frac{1}{26}\)
(ii) Face cards: Jack, Queen, King in each suit → 3 × 4 = 12. Probability = \(\frac{12}{52} = \frac{3}{13}\)
(iii) Red face cards: Face cards in hearts and diamonds → 3 × 2 = 6. Probability = \(\frac{6}{52} = \frac{3}{26}\)
(iv) Jack of hearts: Only 1 card. Probability = \(\frac{1}{52}\)
(v) Spade cards: 13. Probability = \(\frac{13}{52} = \frac{1}{4}\)
(vi) Queen of diamonds: Only 1 card. Probability = \(\frac{1}{52}\)
Five cards—the ten, jack, queen, king and ace of diamonds, are well-shuffled with their face downwards. One card is selected at random.
(i) What is the probability that the card is the queen?
(ii) If the queen is selected and put aside (without replacement), what is the probability that the second card selected is (a) an ace? (b) a queen?
Total cards initially = 5
(i) Probability of queen = \(\frac{1}{5}\)
(ii) After removing queen, remaining cards = 4
(a) Probability of ace = \(\frac{1}{4}\) (only ace of diamonds left)
(b) Probability of queen = \(\frac{0}{4} = 0\) (queen has been removed)
12 defective pens are accidentally mixed with 132 good ones. It is not possible to just look at a pen and tell whether or not it is defective. One pen is taken out at random from this lot. Determine the probability that the pen taken out is a good one.
Total pens = 12 (defective) + 132 (good) = 144
Probability of good pen = \(\frac{132}{144} = \frac{11}{12}\)
A lot of 20 bulbs contain 4 defective ones. One bulb is selected at random from the lot. What is the probability that this bulb is defective? Suppose the bulb selected in previous case is not defective and is not replaced. Now one bulb is selected at random from the rest. What is the probability that this bulb is not defective?
First selection:
Total bulbs = 20, Defective = 4
Probability of defective bulb = \(\frac{4}{20} = \frac{1}{5}\)
Second selection (after removing one good bulb):
Remaining bulbs = 19, Non-defective = 16 – 1 = 15
Probability of not defective bulb = \(\frac{15}{19}\)
A box contains 90 discs which are numbered from 1 to 90. If one disc is selected at random from the box, find the probability that it bears:
(i) a two-digit number (ii) a perfect square number (iii) a number divisible by 5.
Total discs = 90
(i) Two-digit numbers: 10 to 90 → 81 numbers. Probability = \(\frac{81}{90} = \frac{9}{10}\)
(ii) Perfect squares: 1, 4, 9, 16, 25, 36, 49, 64, 81 → 9 numbers. Probability = \(\frac{9}{90} = \frac{1}{10}\)
(iii) Divisible by 5: 5, 10, 15, …, 90 → 18 numbers. Probability = \(\frac{18}{90} = \frac{1}{5}\)
Suppose you drop a die at random on the rectangular region shown in figure. What is the probability that it will land inside the circle with diameter 1m?
Diagram Description: A rectangular region with length 3m and width 2m. Inside it, there’s a circle with diameter 1m (radius 0.5m) centered in the rectangle.
Area of rectangle = length × width = 3 × 2 = 6 m²
Area of circle = πr² = π(0.5)² = 0.25π m²
Probability = \(\frac{\text{Area of circle}}{\text{Area of rectangle}} = \frac{0.25π}{6} = \frac{π}{24}\)
A lot consists of 144 ball pens of which 20 are defective and the others are good. The shopkeeper draws one pen at random and gives it to Sudha. What is the probability that:
(i) She will buy it? (ii) She will not buy it?
Assuming Sudha will buy if the pen is good:
Good pens = 144 – 20 = 124
(i) Probability she will buy = Probability of good pen = \(\frac{124}{144} = \frac{31}{36}\)
(ii) Probability she will not buy = Probability of defective pen = \(\frac{20}{144} = \frac{5}{36}\)
Two dice are rolled simultaneously and counts are added:
(i) complete the table given below:
| Event: ‘Sum on 2 dice’ | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Probability | \(\frac{1}{36}\) | \(\frac{2}{36}\) | \(\frac{3}{36}\) | \(\frac{4}{36}\) | \(\frac{5}{36}\) | \(\frac{6}{36}\) | \(\frac{5}{36}\) | \(\frac{4}{36}\) | \(\frac{3}{36}\) | \(\frac{2}{36}\) | \(\frac{1}{36}\) |
(ii) A student argues that ‘there are 11 possible outcomes 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 and 12. Therefore, each of them has a probability \(\frac{1}{11}\). Do you agree with this argument? Justify your answer.
(i) Table completed above.
(ii) No, I don’t agree. While there are 11 possible sums, they are not equally likely. For example, there’s only one way to get a sum of 2 (1+1) but six ways to get a sum of 7 (1+6, 2+5, 3+4, 4+3, 5+2, 6+1). Therefore, the probability of each sum is different.
A game consists of tossing a one rupee coin 3 times and noting its outcome each time. Deskhtha wins if all the tosses give the same result i.e., three heads or three tails, and loses otherwise. Calculate the probability that she will lose the game.
Total possible outcomes when tossing a coin 3 times = 2³ = 8
Favorable outcomes for winning: HHH, TTT → 2 outcomes
Probability of winning = \(\frac{2}{8} = \frac{1}{4}\)
Probability of losing = 1 – Probability of winning = \(1 – \frac{1}{4} = \frac{3}{4}\)
A dice is thrown twice. What is the probability that:
(i) 5 will not come up either time? (ii) 5 will come up at least once?
Total possible outcomes when throwing a die twice = 6 × 6 = 36
(i) Outcomes where 5 doesn’t appear either time: Each die has 5 options (1,2,3,4,6). Total = 5 × 5 = 25
Probability = \(\frac{25}{36}\)
(ii) Probability that 5 comes at least once = 1 – Probability that 5 doesn’t appear at all = \(1 – \frac{25}{36} = \frac{11}{36}\)
State Council of Educational Research and Training, Telangana, Hyderabad
Solution: The sum of the probability of an event and its complement is always 1.
\[ P(E) + P(\text{not } E) = 1 \]
Solution: The probability of an impossible event is 0. Such an event is called an impossible event.
\[ P(\text{Impossible event}) = 0 \]
Solution: The probability of a certain event is 1. Such an event is called a sure event.
\[ P(\text{Certain event}) = 1 \]
Solution: The sum of probabilities of all elementary events of an experiment is 1.
\[ \sum P(E_i) = 1 \]
Solution: The probability of any event \( E \) satisfies:
\[ 0 \leq P(E) \leq 1 \]
Solution: Not equally likely. The probability depends on the car’s condition, fuel, etc.
Solution: Not equally likely. The outcome depends on the player’s skill.
Solution: Equally likely. There’s a 50% chance of guessing correctly.
\[ P(\text{Right}) = P(\text{Wrong}) = 0.5 \]
Solution: Equally likely (assuming equal probability for biological sexes).
\[ P(\text{Boy}) = P(\text{Girl}) ≈ 0.5 \]
Solution:
We know that \( P(E) + P(\text{not } E) = 1 \)
\[ P(\text{not } E) = 1 – P(E) = 1 – 0.05 = 0.95 \]
Solution: Since the bag contains only lemon flavored candies:
\[ P(\text{Orange}) = 0 \] (Impossible event)
Solution: Since all candies are lemon flavored:
\[ P(\text{Lemon}) = 1 \] (Certain event)
Diagram: A bag containing multiple lemon candies (all yellow) with one being drawn out.
[Illustration of a bag with yellow candies and one hand taking a candy out]
Solution: Original deck has 52 cards. After removing 13 hearts, 39 cards remain.
Number of aces in remaining cards: 3 (since Ace of Hearts was removed)
\[ P(\text{Ace}) = \frac{3}{39} = \frac{1}{13} \]
Solution: All 13 diamonds remain in the deck of 39 cards.
\[ P(\text{Diamond}) = \frac{13}{39} = \frac{1}{3} \]
Solution: Since all hearts have been removed, all remaining 39 cards are not hearts.
\[ P(\text{Not heart}) = \frac{39}{39} = 1 \]
Solution: Since all hearts have been removed:
\[ P(\text{Ace of Hearts}) = 0 \] (Impossible event)
Diagram: A standard deck of cards with all heart cards (red) removed, showing only clubs, diamonds, and spades remaining.
[Illustration of a partial deck with hearts missing]
Solution:
Let \( P(\text{Same}) \) be the probability that two students share a birthday.
Given \( P(\text{Not same}) = 0.992 \)
\[ P(\text{Same}) = 1 – P(\text{Not same}) = 1 – 0.992 = 0.008 \]
Solution: Prime numbers on a die: 2, 3, 5 (3 outcomes)
Total possible outcomes: 6
\[ P(\text{Prime}) = \frac{3}{6} = \frac{1}{2} \]
Solution: Numbers between 2 and 6: 3, 4, 5 (3 outcomes)
\[ P(\text{Between 2 and 6}) = \frac{3}{6} = \frac{1}{2} \]
Solution: Odd numbers on a die: 1, 3, 5 (3 outcomes)
\[ P(\text{Odd}) = \frac{3}{6} = \frac{1}{2} \]
Diagram: A standard six-faced die showing numbers 1 through 6 with prime numbers (2,3,5) highlighted.
[Illustration of a die with some numbers highlighted]
Solution:
Total cards in deck: 52
Red kings: King of Hearts and King of Diamonds (2 cards)
\[ P(\text{Red King}) = \frac{2}{52} = \frac{1}{26} \]
Diagram: A deck of cards showing the two red kings (King of Hearts and King of Diamonds).
[Illustration of two red king cards]
Sample Problems:
These problems can be discussed with friends and teachers to understand probability concepts better.