Statistics — CBSE Class 10 Maths Textbook Solutions
Step-by-step NCERT textbook solutions for every question in Statistics — all 3 exercises, 22 questions, solved in full.
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NCERT Class 10 Maths Chapter 13 (Statistics) has three exercises -- 13.1 (9 questions on mean of grouped data), 13.2 (6 questions on mode of grouped data) and 13.3 (7 questions combining median, mean and mode).
All 22 questions are solved step by step below, with every frequency table reconstructed and every final answer matched to the official NCERT answer key.
About Statistics
This page gives complete, step-by-step NCERT textbook solutions for Class 10 Maths Chapter 13, Statistics -- every question from Exercises 13.1, 13.2 and 13.3, solved in full.
The chapter extends the mean, median and mode you studied for ungrouped data in Class 9 to grouped (tabulated) data, and introduces cumulative frequency.
Each solution below builds the working table from scratch (class mark, deviation, cumulative frequency as required), states the formula used, substitutes the values, and arrives at the final answer -- exactly the way you should write it in an exam.
Where this fits in the exam
Statistics is part of the Statistics & Probability unit. Across the whole Statistics & Probability unit, CBSE Class 10 Maths board papers carry 11 marks in total — see the full Class 10 Maths marks weightage to see how every unit is scored.
Key concepts & formulas
Direct method: x= f_ix_i/ f_i, where x_i is the class mark.
Assumed mean method: x=a+ f_id_i/ f_i, where d_i=x_i-a.
Step-deviation method: x=a+( f_iu_i/ f_i)× h, where u_i=x_i-a/h.
All three methods give the same mean -- pick assumed mean or step-deviation when x_i and f_i are numerically large.
Mode=l+(f_1-f_0/2f_1-f_0-f_2)× h
l = lower limit of the modal class (the class with the highest frequency), h = class size, f_1 = frequency of the modal class, f_0 = frequency of the class preceding it, f_2 = frequency of the class succeeding it.
Median=l+(n/2-cff)× h
l = lower limit of the median class (the class whose cumulative frequency is just greater than n/2), n= f_i, cf = cumulative frequency of the class preceding the median class, f = frequency of the median class, h = class size.
Class mark: x_i=upper limit+lower limit/2.
Cumulative frequency (less than type) of a class = sum of the frequencies of that class and all classes before it. It is used to locate the median class.
For a moderately skewed distribution: 3\,Median=Mode+2\,Mean This lets you find any one of the three measures if the other two are known.
Get all 22 Statistics questions as a PDF
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Exercise-wise solutions
Every exercise in Statistics, in textbook order. Attempt each question first, then check your method against the solution.
| Exercise | Questions |
|---|---|
| Exercise 13.1 | 9 |
| Exercise 13.2 | 6 |
| Exercise 13.3 | 7 |
Exercise 13.1
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 |
Which method did you use for finding the mean, and why?
Solution
Since the class marks x_i and frequencies f_i here are small numbers, the direct method is the most convenient choice.
| Number of plants | f_i | x_i (class mark) | f_ix_i |
|---|---|---|---|
| 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 |
| Total | f_i=20 | f_ix_i=162 |
Using the direct method:
x= f_ix_i/ f_i=162/20=8.1
The mean number of plants per house is 8.1. The direct method was used because both the class marks and the frequencies are small, so the products f_ix_i are easy to compute directly without shifting the origin.
Consider the following distribution of daily wages of 50 workers of a factory.
| Daily wages (in Rs) | 500-520 | 520-540 | 540-560 | 560-580 | 580-600 |
|---|---|---|---|---|---|
| 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
Since the class marks are large numbers, the step-deviation method is used, taking assumed mean a=550 and class size h=20.
| Daily wages | f_i | x_i | d_i=x_i-550 | u_i=d_i/20 | f_iu_i |
|---|---|---|---|---|---|
| 500-520 | 12 | 510 | -40 | -2 | -24 |
| 520-540 | 14 | 530 | -20 | -1 | -14 |
| 540-560 | 8 | 550 | 0 | 0 | 0 |
| 560-580 | 6 | 570 | 20 | 1 | 6 |
| 580-600 | 10 | 590 | 40 | 2 | 20 |
| Total | f_i=50 | f_iu_i=-12 |
x=a+( f_iu_i/ f_i)× h=550+(-12/50)× 20=550-4.8=545.2
The mean daily wage of the workers is Rs 545.20.
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 (in Rs) | 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
Use the assumed mean method with a=18 (the class mark of 17-19) and h=2.
| Allowance | f_i | x_i | d_i=x_i-18 | u_i=d_i/2 | f_iu_i |
|---|---|---|---|---|---|
| 11-13 | 7 | 12 | -6 | -3 | -21 |
| 13-15 | 6 | 14 | -4 | -2 | -12 |
| 15-17 | 9 | 16 | -2 | -1 | -9 |
| 17-19 | 13 | 18 | 0 | 0 | 0 |
| 19-21 | f | 20 | 2 | 1 | f |
| 21-23 | 5 | 22 | 4 | 2 | 10 |
| 23-25 | 4 | 24 | 6 | 3 | 12 |
| Total | 44+f | f-20 |
Since the mean is given as 18 (which equals the assumed mean a), we need:
x=a+( f_iu_i/ f_i)× h 18=18+(f-20/44+f)× 2
This gives f-20/44+f=0, so f-20=0.
f=20
The missing frequency is f = 20.
Thirty women were examined in a hospital by a doctor and the number of heartbeats per minute were recorded and summarised as follows. Find the mean heartbeats per minute for these women, choosing a suitable method.
| Number of heartbeats per 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
Use the step-deviation method with a=75.5 (class mark of 74-77) and h=3.
| Heartbeats | f_i | x_i | d_i=x_i-75.5 | u_i=d_i/3 | f_iu_i |
|---|---|---|---|---|---|
| 65-68 | 2 | 66.5 | -9 | -3 | -6 |
| 68-71 | 4 | 69.5 | -6 | -2 | -8 |
| 71-74 | 3 | 72.5 | -3 | -1 | -3 |
| 74-77 | 8 | 75.5 | 0 | 0 | 0 |
| 77-80 | 7 | 78.5 | 3 | 1 | 7 |
| 80-83 | 4 | 81.5 | 6 | 2 | 8 |
| 83-86 | 2 | 84.5 | 9 | 3 | 6 |
| Total | f_i=30 | f_iu_i=4 |
x=a+( f_iu_i/ f_i)× h=75.5+(4/30)× 3=75.5+0.4=75.9
The mean number of heartbeats per minute is 75.9.
In a retail market, fruit vendors were selling mangoes kept in packing boxes. These boxes contained varying number of mangoes. The following was the distribution of mangoes according to the number of boxes.
| Number of mangoes | 50-52 | 53-55 | 56-58 | 59-61 | 62-64 |
|---|---|---|---|---|---|
| Number of boxes | 15 | 110 | 135 | 115 | 25 |
Find the mean number of mangoes kept in a packing box. Which method of finding the mean did you choose?
Solution
The classes given are inclusive (50-52, 53-55, ...), but since the class marks are unaffected by this, we can work with them directly. Since the frequencies are large numbers, the step-deviation method is the most convenient, with a=57 and h=3.
| Number of mangoes | f_i | x_i | d_i=x_i-57 | u_i=d_i/3 | f_iu_i |
|---|---|---|---|---|---|
| 50-52 | 15 | 51 | -6 | -2 | -30 |
| 53-55 | 110 | 54 | -3 | -1 | -110 |
| 56-58 | 135 | 57 | 0 | 0 | 0 |
| 59-61 | 115 | 60 | 3 | 1 | 115 |
| 62-64 | 25 | 63 | 6 | 2 | 50 |
| Total | f_i=400 | f_iu_i=25 |
x=a+( f_iu_i/ f_i)× h=57+(25/400)× 3=57+0.1875=57.1875
The mean number of mangoes per box is approximately 57.19. The step-deviation method was chosen because the frequencies (number of boxes) are large numbers, making direct multiplication tedious.
The table below shows the daily expenditure on food of 25 households in a locality.
| Daily expenditure (in Rs) | 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
Use the step-deviation method with a=225 (class mark of 200-250) and h=50.
| Expenditure | f_i | x_i | d_i=x_i-225 | u_i=d_i/50 | f_iu_i |
|---|---|---|---|---|---|
| 100-150 | 4 | 125 | -100 | -2 | -8 |
| 150-200 | 5 | 175 | -50 | -1 | -5 |
| 200-250 | 12 | 225 | 0 | 0 | 0 |
| 250-300 | 2 | 275 | 50 | 1 | 2 |
| 300-350 | 2 | 325 | 100 | 2 | 4 |
| Total | f_i=25 | f_iu_i=-7 |
x=a+( f_iu_i/ f_i)× h=225+(-7/25)× 50=225-14=211
The mean daily expenditure on food is Rs 211.
To find out the concentration of SO_2 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 SO_2 (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 SO_2 in the air.
Solution
Since the class marks are small decimal numbers, the direct method is convenient.
| Concentration | f_i | x_i | f_ix_i |
|---|---|---|---|
| 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 |
| Total | f_i=30 | f_ix_i=2.96 |
x= f_ix_i/ f_i=2.96/30=0.09867
The mean concentration of SO_2 in the air is approximately 0.099 ppm.
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.
| Number of days | 0-6 | 6-10 | 10-14 | 14-20 | 20-28 | 28-38 | 38-40 |
|---|---|---|---|---|---|---|---|
| Number of students | 11 | 10 | 7 | 4 | 4 | 3 | 1 |
Solution
The class sizes here are unequal, so the step-deviation method cannot be applied directly. We use the direct method.
| Number of days | f_i | x_i (class mark) | f_ix_i |
|---|---|---|---|
| 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 |
| Total | f_i=40 | f_ix_i=499 |
x= f_ix_i/ f_i=499/40=12.475
The mean number of days a student was absent is approximately 12.48 days.
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
Use the step-deviation method with a=70 (class mark of 65-75) and h=10.
| Literacy rate | f_i | x_i | d_i=x_i-70 | u_i=d_i/10 | f_iu_i |
|---|---|---|---|---|---|
| 45-55 | 3 | 50 | -20 | -2 | -6 |
| 55-65 | 10 | 60 | -10 | -1 | -10 |
| 65-75 | 11 | 70 | 0 | 0 | 0 |
| 75-85 | 8 | 80 | 10 | 1 | 8 |
| 85-95 | 3 | 90 | 20 | 2 | 6 |
| Total | f_i=35 | f_iu_i=-2 |
x=a+( f_iu_i/ f_i)× h=70+(-2/35)× 10=70-0.5714=69.4286
The mean literacy rate is approximately 69.43%.
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Practise free with the AI tutor →Exercise 13.2
The following table shows the ages of the patients admitted in a hospital during a year:
| 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
Mode: The maximum frequency is 23, so the modal class is 35-45.
Here l=35, h=10, f_1=23, f_0=21, f_2=14.
Mode=l+(f_1-f_0/2f_1-f_0-f_2)× h=35+(23-21/46-21-14)× 10=35+(2/11)× 10=35+1.818=36.8
Mean: Use the step-deviation method with a=40 (class mark of 35-45) and h=10.
| Age | f_i | x_i | u_i=x_i-40/10 | f_iu_i |
|---|---|---|---|---|
| 5-15 | 6 | 10 | -3 | -18 |
| 15-25 | 11 | 20 | -2 | -22 |
| 25-35 | 21 | 30 | -1 | -21 |
| 35-45 | 23 | 40 | 0 | 0 |
| 45-55 | 14 | 50 | 1 | 14 |
| 55-65 | 5 | 60 | 2 | 10 |
| Total | f_i=80 | f_iu_i=-37 |
x=40+(-37/80)× 10=40-4.625=35.375
Mode = 36.8 years, Mean = 35.37 years. The maximum number of patients admitted to the hospital are of age 36.8 years (approximately), while on average, the age of a patient admitted is 35.37 years.
The following data gives the information on the observed lifetimes (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 maximum frequency is 61, so the modal class is 60-80.
Here l=60, h=20, f_1=61, f_0=52, f_2=38.
Mode=l+(f_1-f_0/2f_1-f_0-f_2)× h=60+(61-52/122-52-38)× 20=60+(9/32)× 20=60+5.625=65.625
The modal lifetime of the components is 65.625 hours.
The following data gives the distribution of total monthly household expenditure of 200 families of a village. Find the modal monthly expenditure of the families. Also, find the mean monthly expenditure:
| Expenditure (in Rs) | 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
Mode: The maximum frequency is 40, so the modal class is 1500-2000.
Here l=1500, h=500, f_1=40, f_0=24, f_2=33.
Mode=1500+(40-24/80-24-33)× 500=1500+(16/23)× 500=1500+347.83=1847.83
Mean: Use the step-deviation method with a=3250 (class mark of 3000-3500) and h=500.
| Expenditure | f_i | x_i | u_i=x_i-3250/500 | f_iu_i |
|---|---|---|---|---|
| 1000-1500 | 24 | 1250 | -4 | -96 |
| 1500-2000 | 40 | 1750 | -3 | -120 |
| 2000-2500 | 33 | 2250 | -2 | -66 |
| 2500-3000 | 28 | 2750 | -1 | -28 |
| 3000-3500 | 30 | 3250 | 0 | 0 |
| 3500-4000 | 22 | 3750 | 1 | 22 |
| 4000-4500 | 16 | 4250 | 2 | 32 |
| 4500-5000 | 7 | 4750 | 3 | 21 |
| Total | f_i=200 | f_iu_i=-235 |
x=3250+(-235/200)× 500=3250-587.5=2662.5
Modal monthly expenditure = Rs 1847.83, Mean monthly expenditure = Rs 2662.5.
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/U.T. | 3 | 8 | 9 | 10 | 3 | 0 | 0 | 2 |
Solution
Mode: The maximum frequency is 10, so the modal class is 30-35.
Here l=30, h=5, f_1=10, f_0=9, f_2=3.
Mode=30+(10-9/20-9-3)× 5=30+(1/8)× 5=30+0.625=30.625
Mean: Use the step-deviation method with a=32.5 (class mark of 30-35) and h=5.
| Ratio | f_i | x_i | u_i=x_i-32.5/5 | f_iu_i |
|---|---|---|---|---|
| 15-20 | 3 | 17.5 | -3 | -9 |
| 20-25 | 8 | 22.5 | -2 | -16 |
| 25-30 | 9 | 27.5 | -1 | -9 |
| 30-35 | 10 | 32.5 | 0 | 0 |
| 35-40 | 3 | 37.5 | 1 | 3 |
| 40-45 | 0 | 42.5 | 2 | 0 |
| 45-50 | 0 | 47.5 | 3 | 0 |
| 50-55 | 2 | 52.5 | 4 | 8 |
| Total | f_i=35 | f_iu_i=-23 |
x=32.5+(-23/35)× 5=32.5-3.2857=29.214
Mode = 30.6, Mean = 29.2. Most states/U.T. have a student-teacher ratio of about 30.6, while the average student-teacher ratio across all states/U.T. is 29.2.
The given distribution shows the number of runs scored by some top batsmen of the world in one-day international cricket matches.
| Runs scored | 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 maximum frequency is 18, so the modal class is 4000-5000.
Here l=4000, h=1000, f_1=18, f_0=4, f_2=9.
Mode=4000+(18-4/36-4-9)× 1000=4000+(14/23)× 1000=4000+608.7=4608.7
The mode of the data is 4608.7 runs.
A student noted the number of cars passing through a spot on a road for 100 periods each of 3 minutes and summarised it in the table given below. Find the mode of the data:
| 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 |
Solution
The maximum frequency is 20, so the modal class is 40-50.
Here l=40, h=10, f_1=20, f_0=12, f_2=11.
Mode=40+(20-12/40-12-11)× 10=40+(8/17)× 10=40+4.706=44.706
The mode of the data is 44.7 cars.
Exercise 13.3
The following frequency distribution gives the monthly consumption of electricity of 68 consumers of a locality. Find the median, mean and mode of the data and compare them.
| Monthly consumption (in units) | 65-85 | 85-105 | 105-125 | 125-145 | 145-165 | 165-185 | 185-205 |
|---|---|---|---|---|---|---|---|
| Number of consumers | 4 | 5 | 13 | 20 | 14 | 8 | 4 |
Solution
Median: Build the cumulative frequency column.
| Consumption | f_i | cf |
|---|---|---|
| 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 |
n=68, so n/2=34. The cf just greater than 34 is 42, so the median class is 125-145.
l=125, cf=22 (cf of preceding class), f=20, h=20.
Median=125+(34-22/20)× 20=125+12=137
Mean: Use the step-deviation method, a=135 (class mark of 125-145), h=20.
| Consumption | f_i | x_i | u_i=x_i-135/20 | f_iu_i |
|---|---|---|---|---|
| 65-85 | 4 | 75 | -3 | -12 |
| 85-105 | 5 | 95 | -2 | -10 |
| 105-125 | 13 | 115 | -1 | -13 |
| 125-145 | 20 | 135 | 0 | 0 |
| 145-165 | 14 | 155 | 1 | 14 |
| 165-185 | 8 | 175 | 2 | 16 |
| 185-205 | 4 | 195 | 3 | 12 |
| Total | 68 | f_iu_i=7 |
x=135+(7/68)× 20=135+2.059=137.06 137.05
Mode: The maximum frequency is 20, so the modal class is 125-145.
l=125, h=20, f_1=20, f_0=13, f_2=14.
Mode=125+(20-13/40-13-14)× 20=125+(7/13)× 20=125+10.77=135.76
Median = 137 units, Mean = 137.05 units, Mode = 135.76 units. The three measures are approximately equal here, which shows this is a fairly symmetric (not badly skewed) distribution.
If the median of the distribution given below is 28.5, find the values of x and y.
| Class interval | 0-10 | 10-20 | 20-30 | 30-40 | 40-50 | 50-60 | Total |
|---|---|---|---|---|---|---|---|
| Frequency | 5 | x | 20 | 15 | y | 5 | 60 |
Solution
Total frequency: 5+x+20+15+y+5=60 x+y=15 ... (1)
Cumulative frequencies: 0-10: 5; 10-20: 5+x; 20-30: 25+x; 30-40: 40+x; 40-50: 40+x+y; 50-60: 45+x+y.
n=60, so n/2=30. The median is 28.5, which lies in the class 20-30 (since 25+x will be the cf just past 30 for reasonable x). So the median class is 20-30.
l=20, cf=5+x, f=20, h=10.
Median=l+(n/2-cff)× h
28.5=20+(30-(5+x)/20)× 10
28.5-20=(25-x)× 10/20
8.5=25-x/2
17=25-x x=8
Substituting into (1): 8+y=15 y=7.
x = 8, y = 7.
A life insurance agent found the following data for distribution of ages of 100 policy holders. Calculate the median age, if policies are given only to persons having age 18 years onwards but less than 60 years.
| 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 |
Solution
This is a cumulative frequency (less than type) table. Convert it to a class-wise frequency table by taking successive differences, with classes 18-20, 20-25, 25-30, ..., 55-60.
| Age | f_i | cf |
|---|---|---|
| 18-20 | 2 | 2 |
| 20-25 | 6-2=4 | 6 |
| 25-30 | 24-6=18 | 24 |
| 30-35 | 45-24=21 | 45 |
| 35-40 | 78-45=33 | 78 |
| 40-45 | 89-78=11 | 89 |
| 45-50 | 92-89=3 | 92 |
| 50-55 | 98-92=6 | 98 |
| 55-60 | 100-98=2 | 100 |
n=100, so n/2=50. The cf just greater than 50 is 78, so the median class is 35-40.
l=35, cf=45 (cf of preceding class), f=33, h=5.
Median=35+(50-45/33)× 5=35+(5/33)× 5=35+0.7576=35.76
The median age of the policy holders is 35.76 years.
The lengths of 40 leaves of a plant are measured correct to the nearest millimetre, and the data obtained is represented in the following table:
| 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 |
Find the median length of the leaves.
(Hint: The data needs to be converted to continuous classes for finding the median, since the formula assumes continuous classes. The classes then change to 117.5-126.5, 126.5-135.5, ..., 171.5-180.5.)
Solution
Convert to continuous classes (subtract 0.5 from lower limits, add 0.5 to upper limits) and build the cumulative frequency column.
| Length (in mm) | f_i | cf |
|---|---|---|
| 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 |
n=40, so n/2=20. The cf just greater than 20 is 29, so the median class is 144.5-153.5.
l=144.5, cf=17, f=12, h=9.
Median=144.5+(20-17/12)× 9=144.5+(3/12)× 9=144.5+2.25=146.75
The median length of the leaves is 146.75 mm.
The following table gives the distribution of the life time of 400 neon lamps:
| 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 |
Find the median life time of a lamp.
Solution
Build the cumulative frequency column.
| Life time | f_i | cf |
|---|---|---|
| 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 |
n=400, so n/2=200. The cf just greater than 200 is 216, so the median class is 3000-3500.
l=3000, cf=130, f=86, h=500.
Median=3000+(200-130/86)× 500=3000+(70/86)× 500=3000+406.98=3406.98
The median life time of a lamp is 3406.98 hours.
100 surnames were randomly picked up from a local telephone directory and the frequency distribution of the number of letters in the English alphabets in the surnames was obtained as follows:
| Number of letters | 1-4 | 4-7 | 7-10 | 10-13 | 13-16 | 16-19 |
|---|---|---|---|---|---|---|
| Number of surnames | 6 | 30 | 40 | 16 | 4 | 4 |
Determine the median number of letters in the surnames. Find the mean number of letters in the surnames. Also, find the modal size of the surnames.
Solution
Median: Build the cumulative frequency column.
| Number of letters | f_i | cf |
|---|---|---|
| 1-4 | 6 | 6 |
| 4-7 | 30 | 36 |
| 7-10 | 40 | 76 |
| 10-13 | 16 | 92 |
| 13-16 | 4 | 96 |
| 16-19 | 4 | 100 |
n=100, so n/2=50. The cf just greater than 50 is 76, so the median class is 7-10.
l=7, cf=36, f=40, h=3.
Median=7+(50-36/40)× 3=7+(14/40)× 3=7+1.05=8.05
Mean: Use the step-deviation method, a=8.5 (class mark of 7-10), h=3.
| Number of letters | f_i | x_i | u_i=x_i-8.5/3 | f_iu_i |
|---|---|---|---|---|
| 1-4 | 6 | 2.5 | -2 | -12 |
| 4-7 | 30 | 5.5 | -1 | -30 |
| 7-10 | 40 | 8.5 | 0 | 0 |
| 10-13 | 16 | 11.5 | 1 | 16 |
| 13-16 | 4 | 14.5 | 2 | 8 |
| 16-19 | 4 | 17.5 | 3 | 12 |
| Total | 100 | f_iu_i=-6 |
x=8.5+(-6/100)× 3=8.5-0.18=8.32
Mode: The maximum frequency is 40, so the modal class is 7-10.
l=7, h=3, f_1=40, f_0=30, f_2=16.
Mode=7+(40-30/80-30-16)× 3=7+(10/34)× 3=7+0.882=7.88
Median = 8.05, Mean = 8.32, Modal size = 7.88.
The distribution below gives the weights of 30 students of a class. Find the median weight of the students.
| 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 |
Solution
Build the cumulative frequency column.
| Weight | f_i | cf |
|---|---|---|
| 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 |
n=30, so n/2=15. The cf just greater than 15 is 19, so the median class is 55-60.
l=55, cf=13, f=6, h=5.
Median=55+(15-13/6)× 5=55+(2/6)× 5=55+1.6667=56.67
The median weight of the students is 56.67 kg.
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Yes — question and exercise numbers match the official NCERT Class 10 Maths textbook (NCERT 2026–27) exactly, so you can look up any question from your book by its number.How many exercises does Statistics have?
3 exercises — Exercise 13.1, 13.2, 13.3 — covering 22 questions in total.How should I use the Statistics textbook solutions?
Attempt each question from your textbook first, then open the solution to check your method — not just the final answer. Redo anything you got wrong from scratch.How accurate are these solutions?
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