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Published on: 17/10/2019
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1.
During the medical check-up 35 students of a class, their weights were recorded as follows:
| Weight (in kg) | Number of students |
|---|---|
| Less than 38 | 0 |
| Less than 40 | 3 |
| Less than 42 | 5 |
| Less than 44 | 9 |
| Less than 46 | 14 |
| Less than 48 | 28 |
| Less than 50 | 32 |
| Less than 52 | 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. What are benefits of regular medical check-up?
2.
The median class of a frequency distribution is 125-145. The frequency and cumulative frequency of the class preceding to the median class are 20 and 22, respectively. Find the sum of the frequencies, if the median is 137.
3.
Following is the cumulative frequency distribution (of less than type) of 1000 persons each of age 20 yr and above. Determine the mean age.
| Age (in years) | Below 30 | Below 40 | Below 50 | Below 60 | Below 70 | Below 80 |
|---|---|---|---|---|---|---|
| Number of persons | 100 | 220 | 350 | 750 | 950 | 1000 |
4.
The following table gives the distribution of the life time of 400 neon lamps :
| Lifetime (in hours) | Number of lamps |
|---|---|
| 1500-2000 | 14 |
| 2000-2500 | 56 |
| 2500-3000 | 60 |
| 3000-3500 | 86 |
| 3500-4000 | 74 |
| 4000-4500 | 62 |
| 4500-5000 | 48 |
Find the median lifetime of a lamp.
5.
A student noted the number of cars passing through a spot on a road for 100 periods each of 3 min and summarised it 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.
6.
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 | Number of states/UT |
|---|---|
| 15-20 | 3 |
| 20-25 | 8 |
| 25-30 | 9 |
| 30-35 | 10 |
| 35-40 | 3 |
| 40-45 | 0 |
| 45-50 | 0 |
| 50-55 | 2 |
7.
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 |
8.
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 of mangoes kept in a packing box. Which method of finding the mean did you choose?
9.
Consider the following distribution of daily wages of 50 workers of a factory:
| Daily wages (in RS) | Number of workers |
|---|---|
| 100-120 | 12 |
| 120-140 | 14 |
| 140-160 | 8 |
| 160-180 | 6 |
| 180-200 | 10 |
Find the mean daily wages of the workers of the factory by using an appropriate method.
10.
During Medical check up of 200 students of school, their weights were recorded as follows:
| Weight (in kg) | 30-39 | 40-49 | 50-59 | 60-69 | 70-79 | 80-89 |
|---|---|---|---|---|---|---|
| Number of students | 5 | 22 | 63 | 74 | 30 | 6 |
Find the median weight of students.
11.
The following table gives the literacy rate (in %) of 25 cities.
| Literacy rate | 50-60 | 60-70 | 70-80 | 80-90 |
|---|---|---|---|---|
| Number of cities | 9 | 6 | 8 | 2 |
Find the median class and modal class.
12.
On sports day of a school, agewise participation of students is shown in the following distribution:
| Age in years | 5-7 | 7-9 | 9-11 | 11-13 | 13-15 | 15-17 | 17-19 |
|---|---|---|---|---|---|---|---|
| Number of students | x | 15 | 18 | 30 | 50 | 48 | x |
Find the mode of the data. Also, find missing frequencies when sum of frequencies is 181.
13.
Find the mode of given data.
| Marks | 0-10 | 10-20 | 20-30 | 30-40 | 40-50 |
|---|---|---|---|---|---|
| Frequency | 20 | 24 | 40 | 36 | 20 |
14.
Using assumed mean method find the mean of the following frequency distribution.
| Class | 63-65 | 66-68 | 69-71 | 72-74 | 75-77 |
|---|---|---|---|---|---|
| Frequency | 4 | 3 | 7 | 8 | 3 |
15.
Find the mean of the following distribution by direct method.
| Class interval | 0-10 | 10-20 | 20-30 | 30-40 | 40-50 |
|---|---|---|---|---|---|
| Number of workers | 7 | 10 | 15 | 8 | 10 |
1.

Benefits of regular medical check-up are
(t) It enables us to take pre-medical action on time.
(it) It reduces the chances of getting sick.
2.
Use the formula, median = \(l+\left\{\frac{\frac{n}{2}-c f}{f}\right\} \times h\)
Ans. 68
3.
Firstly, we make the frequency distribution of the given data and then proceed to calculate mean by computing class marks (xi), u's and fiui 's as follows
| Age (in years) | Number of persons (fi) | Class marks (xi) | \(u_{ i }=\frac { x_{ i }-45 }{ 10 } \) | fiui |
|---|---|---|---|---|
| 20-30 | 100 | 25 | -2 | -200 |
| 30-40 | 120 | 35 | -1 | -120 |
| 40-50 | 130 | 45 | 0 | 0 |
| 50-60 | 400 | 55 | 1 | 400 |
| 60-70 | 200 | 65 | 2 | 400 |
| 70-80 | 50 | 75 | 3 | 150 |
| Total | \(\sum { f_{ i } } =1000\) | \(\sum { f_{ i }u_{ i } } =630\) |
Here, assumed mean, a = 45 (2) and class width, h = 10..By step deviation method,
Mean \(\left( \overline { x } \right) =a+\left\{ \frac { \sum { f_{ i }u_{ i } } }{ \sum { f_{ i } } } \right\} \times h=45+\left\{ \frac { 630 }{ 1000 } \right\} \times 10\)
=45+63=51.3
Hence, the required mean age is 51.3 yr.
4.
The cumulative frequencies with their respective class intervals are as follows.
| Life time | Number of lamps (fi) | Cumulative frequency |
| 1500 − 2000 | 14 | 14 |
| 2000 − 2500 | 56 | 14 + 56 = 70 |
| 2500 − 3000 | 60 | 70 + 60 = 130 |
| 3000 − 3500 | 86 | 130 + 86 = 216 |
| 3500 − 4000 | 74 | 216 + 74 = 290 |
| 4000 − 4500 | 62 | 290 + 62 = 352 |
| 4500 − 5000 | 48 | 352 + 48 = 400 |
| Total (n) | 400 |
It can be observed that the cumulative frequency just greater than n/2 (i.e 400/2 = 200) is 216
belonging to class interval 3000 − 3500.
Median class = 3000 − 3500
Lower limit (l) of median class = 3000
Frequency (f) of median class = 86
Cumulative frequency (cf) of class preceding median class = 130
Class size (h) = 500
\(\text { Median }=l+\left(\frac{\frac{n}{2}-c f}{f}\right) \times h \)
\(=3000+\left(\frac{200-130}{86}\right) \times 500 \)
\(=3000+\frac{70 \times 500}{86}\)
= 3406.976
Therefore, median life time of lamps is 3406.98 hours.
5.
From the given data, it can be observed that the maximum class frequency is 20, belonging to 40 − 50 class intervals.
Therefore, modal class = 40 − 50
Lower limit (l) of modal class = 40
Frequency (f1) of modal class = 20
Frequency (f0) of class preceding modal class = 12
Frequency (f2) of class succeeding modal class = 11
Class size = 10
\(\text { Mode }=l+\left(\frac{f_{1}-f_{0}}{2 f_{1}-f_{0}-f_{2}}\right) \times h \)
\(=40+\left[\frac{20-12}{2(20)-12-11}\right] \times 10\)
= 40+((80)/(40-23))
= 40 + 4.7
= 44.7
Therefore, mode of this data is 44.7 cars.
6.
It can be observed from the given data that the maximum class frequency is 10 belonging to class interval 30 − 35.
Therefore, modal class = 30 − 35
Class size (h) = 5
Lower limit (l) of modal class = 30
Frequency (f1) of modal class = 10
Frequency (f0) of class preceding modal class = 9
Frequency (f2) of class succeeding modal class = 3
\(\text { Mode }=l+\left(\frac{f_{1}-f_{0}}{2 f_{1}-f_{0}-f_{2}} \times h\right) \)
\(=30+\left(\frac{10-9}{2}(10)-9-3\right) \times(5) \)
\(=30+\left(\frac{1}{20-12}\right) 5\)
= 30 + 5/8 = 30.625
Mode = 30.6
It represents that most of the states/U.T have a teacher-student ratio as 30.6.
To find the class marks, the following relation is used.
\(x = {-b \pm \sqrt{b^2-4ac} \over 2a}\)
Taking 32.5 as assumed mean (a), di, ui, and fiui are calculated as follows.
| Number of students per teacher |
Number of states/U.T (fi) |
xi | di = xi − 32. | ui=di/5 | fiui |
| 15 − 20 | 3 | 17.5 | − 15 | − 3 | − 9 |
| 20 − 25 | 8 | 22.5 | − 10 | − 2 | − 16 |
| 25 − 30 | 9 | 27.5 | − 5 | − 1 | − 9 |
| 30 − 35 | 10 | 32.5 | 0 | 0 | 0 |
| 35 − 40 | 3 | 37.5 | 5 | 1 | 3 |
| 40 − 45 | 0 | 42.5 | 10 | 2 | 0 |
| 45 − 50 | 0 | 47.5 | 15 | 3 | 0 |
| 50 − 55 | 2 | 52.5 | 20 | 4 | 8 |
| Total | 35 | -23 |
\(\text { Mean, } \bar{x}=a+\left(\frac{\sum f_{i} u_{i}}{\sum f_{i}}\right) \times h \)
\(=32.5+\left(\frac{-23}{35}\right) \times 5\)
= 32.5 - 23/7 = 32.5 - 3.28
= 29.22
Therefore, mean of the data is 29.2.
It represents that on an average, teacher−student ratio was 29.2
7.
To find the class marks, the following relation is used.
\(x_{i}=\frac{\text { Upper class limit + Lower class limit }}{2}\)
Class size (h) for this data = 10
Taking 70 as assumed mean (a), di, ui, and fiui are calculated as follows.
| Literacy rate (in %) |
Number of cities fi |
xi | di = xi − 70 | ui = di/10 | fiui |
| 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 | 35 | -2 |
From the table, we obtain
\(\sum f_{i}=35 \)
\(\sum f_{i} u_{i}=-2 \)
\(\text { Mean } \bar{x}=a+\left(\frac{\sum f_{i} u_{i}}{\sum f_{i}}\right) \times h\)
\(=70+\left(-\frac{2}{35}\right) \times(10) \)
\(=70-\frac{20}{35} \)
\(=70-\frac{4}{7}\)
= 70 - 0.57
= 69.43
Therefore, mean literacy rate is 69.43%.
8.
| Number of mangoes | Number of boxes fi |
| 50 − 52 | 15 |
| 53 − 55 | 110 |
| 56 − 58 | 135 |
| 59 − 61 | 115 |
| 62 − 64 | 25 |
It can be observed that class intervals are not continuous. There is a gap of 1 between two class intervals. Therefore,1/2 has to be added to the upper class limit and1/2 has to be subtracted from the lower class limit of each interval.
Class mark (xi) can be obtained by using the following relation.
\(x_{i}=\frac{\text { Upper class limit }+\text { Lower class limit }}{2}\)
Class size (h) of this data = 3
Taking 57 as assumed mean (a), di, ui, fiui are calculated as follows.
| Class interval | fi | xi | di = xi − 57 | ui= di/3 | fiui |
| 49.5-52.5 | 15 | 51 | -6 | -2 | -30 |
| 52.5-55.5 | 110 | 54 | -3 | -1 | -110 |
| 55.5-58.5 | 135 | 57 | 0 | 0 | 0 |
| 58.5-61.5 | 115 | 60 | 3 | 1 | 115 |
| 61.5-64.5 | 25 | 63 | 6 | 2 | 50 |
| Total | 400 | 25 |
It can be observed that
\(\sum f_{i}=400 \)
\(\sum f_{i} u_{i}=25 \)
\(\text { Mean } \bar{x}=a+\left(\frac{\sum f_{1} u_{i}}{\sum f_{i}}\right) x h \)
\(=57+\left(\frac{25}{400}\right) \times 3\)
= 57+3/16 = 57+ 0.1875
= 57.1875
= 57.19
Mean number of mangoes kept in a packing box is 57.19.
Step deviation method is used here as the values of fi, di are big and also, there is a common multiple between all di.
9.
RS.145.20
10.
Convert the given distribution into continuous grouped frequency distribution and find the median.
60.85 kg
11.
| Literacy rate | 50-60 | 60-70 | 70-80 | 80-90 |
|---|---|---|---|---|
| Number of cities | 9 | 6 | 8 | 2 |
| Cumulative frequency (cf) | 9 | 15 | 23 | 25 |
Here, \(\frac { n }{ 2 } =\frac { 25 }{ 2 } =12.5\)
Since, cumulative frequency just greater than 12.5 and corresponding class is 60-70.
Median class=60-70
Since, highest frequency is 9 and corresponding class is 50-60
Modal class=50-60
12.
\(Since, sum of frequencies =181
\therefore \quad x+15+18+30+50+48+x=181 \)
\(\Rightarrow \quad 2 x=181-160=21 \Rightarrow x=10\)
Now, maximum frequency is 50. So, modal class is 13-15
\(\therefore \quad l=13, f_{1}=50, f_{0}=30, f_{2}=48 \text { and } h=2\)
\(\text { Now, Mode }=13+\frac{50-30}{100-30-48} \times 2=13+\frac{20}{22} \times 2 \)
\(=13+182=1482\)
13.
28
14.
Here, class interval are not continuous. We will solve it without making continuous.
| Class | Class marks (x)i | Frequency (fi) | di=xi-70 | fidi |
|---|---|---|---|---|
| 63-65 | 64 | 4 | -6 | -24 |
| 66-68 | 67 | 3 | -3 | -9 |
| 69-71 | 70=a | 7 | 0 | 0 |
| 72-74 | 73 | 8 | 3 | 24 |
| 75-77 | 76 | 3 | 6 | 18 |
| \(\sum { f_{ i } } =25\) | \(\sum { f_{ i }d_{ i } } =9\) |
Mean \(\left( \overline { x } \right) =a+\frac { \sum { f_{ i }d_{ i } } }{ \sum { f_{ i } } } =70+\frac { 9 }{ 25 } =70.36\)
15.
| Class interval | Class marks (xi) | Number of workers (fi) | fixi |
|---|---|---|---|
| 0-10 | 5 | 7 | 35 |
| 10-20 | 15 | 10 | 150 |
| 20-30 | 25 | 15 | 375 |
| 30-40 | 35 | 8 | 280 |
| 40-50 | 45 | 10 | 450 |
| \(\sum { f_{ i }=40 } \) | \(\sum { f_{ i }x_{ i } } =1290\) |
Mean \(\left( \overline { x } \right) =\frac { \sum { f_{ i }x_{ i } } }{ \sum { f_{ i } } } =\frac { 1290 }{ 50 } =25.8\)
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