Master Class 10 Statistics Exercise 13.1 Solutions with Clear Step by Step Guidance
NCERT Solutions For Class 10 Maths Statistics Exercise 13.1 help you solve problems about data collection and organization. Statistics might seem tricky at first, but it becomes easy with step-by-step solutions. This exercise teaches you how to work with numbers and find patterns.


Key points covered:
• Solutions for finding mean, median and mode of data
• Step-by-step methods to solve frequency distribution problems
• Easy explanations for all Exercise 13.1 questions
• Practice problems with complete working steps
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NCERT Solutions for Class 10 Maths Chapter 13 Statistics
Master Class 10 Statistics Exercise 13.1 Solutions with Clear Step by Step Guidance
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?
Ans: The number of houses denoted by \[{{x}_{i}}\].
The mean can be found as given below:
\[\overline{X}=\frac{\sum{{{f}_{i}}{{x}_{i}}}}{\sum{{{f}_{i}}}}\]
Class mark \[\left( {{x}_{i}} \right)\] for each interval is calculated as follows:\[xi=\text{ }\frac{\text{Upper class limit+Lower class limit}}{2}\]
\[{{x}_{i}}\] and \[{{f}_{i}}{{x}_{i}}\] can be calculated as follows:
Number of Plants | Number of houses ${{f}_{i}}$ | \[{{x}_{i}}\] | \[{{f}_{i}}{{x}_{i}}\] |
$0-2$ | $1$ | $1$ | $1\times 1=1$ |
$2-4$ | $2$ | $3$ | $2\times 3=6$ |
$4-6$ | $1$ | $5$ | $1\times 5=5$ |
$6-8$ | $5$ | $7$ | $5\times 7=35$ |
$8-10$ | $6$ | $9$ | $6\times 9=54$ |
$10-12$ | $2$ | $11$ | $2\times 11=22$ |
$12-14$ | $3$ | $13$ | $3\times 13=39$ |
Total | $20$ | $162$ |
From the table, it can be observed that
$\sum{{{f}_{i}}=20}$
$\sum{{{f}_{i}}{{x}_{i}}}=162$
Substituting the value of \[{{f}_{i}}{{x}_{i}}\]and ${{f}_{i}}$ in the formula of mean we get:
Mean number of plants per house \[\left( \overline{X} \right)\]:
$ \overline{X}=\frac{\sum{{{f}_{i}}{{x}_{i}}}}{\sum{{{f}_{i}}}} $
$ \overline{X}=\frac{162}{20}=8.1$
Therefore, the mean number of plants per house is \[8.1\].
In this case, we will use the direct method because the value of \[{{x}_{i}}\] and ${{f}_{i}}$ .
2. Consider the following distribution of daily wages of \[\mathbf{50}\] workers of a factory.
Daily Wages (in Rs) | \[100\text{ }-120~\] | \[120\text{ - }140\] | \[140\text{ - }160~\] | \[160\text{ - }180~\] | \[180\text{ - }200~\] |
Number of Workers | \[12\] | \[14\] | \[8\] | \[6\] | \[10\] |
Find the mean daily wages of the workers of the factory by using an appropriate method.
Ans: Let the class size of the data be $h$.
The mean can be found as given below:
$\overline{X}=a+\left( \frac{\sum{{{f}_{i}}{{u}_{i}}}}{\sum{{{f}_{i}}}} \right)h$
Take the assured mean \[(a)\] of the given data
$a=150$
Class mark \[\left( {{x}_{i}} \right)\] for each interval is calculated as follows:
\[{{x}_{i}}=\frac{\text{Upper class limit+Lower class limit}}{2}\]
Class size (\[h\]) of this data is:
$ h=120-100 $
$ h=20 $
\[{{d}_{i}},\]\[{{u}_{i}},\] and \[{{f}_{i}}{{u}_{i}}\] can be evaluated as follows:
Daily Wages (In Rs) | Number of Workers (${{f}_{i}}$) | \[{{x}_{i}}\] | ${{d}_{i}}={{x}_{i}}-150$ | ${{u}_{i}}=\frac{{{d}_{i}}}{20}$ | \[{{f}_{i}}{{u}_{i}}\] |
\[100\text{ }-120~\] | \[12\] | $110$ | $-40$ | $-2$ | \[-24\] |
\[120\text{ - }140\] | \[14\] | $130$ | $-20$ | $-1$ | \[-14\] |
\[140\text{ - }160~\] | \[8\] | $150$ | $0$ | $0$ | $0$ |
\[160\text{ - }180~\] | \[6\] | $170$ | $20$ | $1$ | \[6\] |
\[180\text{ - }200~\] | \[10\] | $190$ | $40$ | $2$ | \[20\] |
Total | $50$ | \[-12\] |
From the table, it can be observed that
\[\sum{{{f}_{i}}=50}\]
and
$\sum{{{f}_{i}}{{u}_{i}}}=-12$
Substituting the value of \[{{u}_{i}},\] and \[{{f}_{i}}{{u}_{i}}\] in the formula of mean we get:
The required mean:
$ \overline{X}=a+\left( \frac{\sum{{{f}_{i}}{{u}_{i}}}}{\sum{{{f}_{i}}}} \right)h $
$\Rightarrow \overline{X}=150+\left( \frac{-12}{50} \right)20 $
$ \Rightarrow \overline{X}=150-\frac{24}{5} $
$ \Rightarrow \overline{X}=150-4.8 $
$\overline{X}=145.2$
Hence, the mean daily wage of the workers of the factory is Rs \[145.20\].
3. 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 Allowance (in Rs) | \[11\text{ - }13~\] | \[13\text{ - }15\] | \[15\text{ - }17\] | \[17\text{ - }19~\] | \[19\text{ - }21~\] | \[21\text{ - }23~\] | \[23\text{ - }25\] |
Number of Workers | \[7\] | \[6\] | \[9\] | \[13\] | \[f~\] | \[5~\] | \[4\] |
Ans: Let the class size of the data be $h$.
The mean can be found as given below:
$\overline{X}=a+\left( \frac{\sum{{{f}_{i}}{{u}_{i}}}}{\sum{{{f}_{i}}}} \right)h$
Suppose the assured mean $\left( a \right)$ of the data is $18$
Class mark \[\left( {{x}_{i}} \right)\] for each interval is calculated as follows:
\[{{x}_{i}}=\text{ }\frac{\text{Upper class limit+Lower class limit}}{2}\]
It is given that, mean pocket allowance, \[\overline{X}=\text{ }Rs\text{ }18\]
Class size (\[h\]) of this data is:
$h=13-11 $
$ h=2 $
\[{{d}_{i}},\]\[{{u}_{i}},\] and \[{{f}_{i}}{{u}_{i}}\]can be evaluated as follows:
Daily Allowance (in Rs) | Number of Workers (${{f}_{i}}$) | Class Mark\[{{x}_{i}}\] | ${{d}_{i}}={{x}_{i}}-18$ | \[{{f}_{i}}{{d}_{i}}\] |
\[11\text{ }-13~\] | \[7\] | $12$ | $-6$ | \[-42\] |
\[13\text{ - }15\] | \[6\] | $14$ | $-4$ | \[-24\] |
\[15\text{ - }17\] | \[9\] | $16$ | $-2$ | $-18$ |
\[17\text{ - }19~\] | \[13\] | $18$ | $0$ | $0$ |
\[19\text{ - }21~\] | \[f~\] | $20$ | $2$ | \[2f\] |
\[21\text{ - }23~\] | \[5~\] | $22$ | $4$ | \[20\] |
\[23\text{ - }25\] | \[4\] | $24$ | $6$ | $24$ |
Total | $\sum{{{f}_{i}}}=44+f$ | \[2f-40\] |
From the table, it can be observed that
\[\sum{{{f}_{i}}=44+f}\]
$\sum{{{f}_{i}}{{u}_{i}}}=2f-40$
Substituting the value of \[{{d}_{i}},\]\[{{u}_{i}},\] and \[{{f}_{i}}{{u}_{i}}\] in the formula of mean we get:
The required mean:
$\overline{X}=a+\left( \frac{\sum{{{f}_{i}}{{d}_{i}}}}{\sum{{{f}_{i}}}} \right)h$
$\Rightarrow 18=18+\left( \frac{2f-40}{44+f} \right)2$
$\Rightarrow 0=\left( \frac{2f-40}{44+f} \right)$
$\Rightarrow 2f-40=0$
$\Rightarrow f=20$
Hence, the value of frequency \[{{f}_{i}}\] is \[20\].
4. Thirty women were examined in a hospital by a doctor and the number of heart beats per minute were recorded and summarized as follows. Find the mean heart beats per minute for these women, choosing a suitable method.
Number of Heart Beats Per Minute | \[65\text{ - }68~\] | \[68\text{ - }71~\] | \[71\text{ - }74~\] | \[74\text{ - }77~\] | \[77\text{ - }80\] | \[80\text{ - }83~\] | \[83\text{ - }86\] |
Number of Women | \[2\] | \[4~\] | \[3~\] | \[8\] | \[7~\] | \[4~\] | \[2\] |
Ans: Let the class size of the data be $h$.
The mean can be found as given below:
$\overline{X}=a+\left( \frac{\sum{{{f}_{i}}{{u}_{i}}}}{\sum{{{f}_{i}}}} \right)h$
Suppose the assured mean $\left( a \right)$ of the data is $75.5$
Class mark \[\left( {{x}_{i}} \right)\] for each interval is calculated as follows:
\[{{x}_{i}}=\frac{\text{Upper class limit+Lower class limit}}{2}\]
Class size (\[h\]) of this data is:
$ h=68-65 $
$h=3 $
\[{{d}_{i}},\]\[{{u}_{i}},\] and \[{{f}_{i}}{{u}_{i}}\]can be evaluated as follows:
Number of Heart Beats Per Minute | Number of Women \[{{f}_{i}}\] | \[{{x}_{i}}\] | ${{d}_{i}}={{x}_{i}}-75.5$ | ${{u}_{i}}=\frac{{{d}_{i}}}{3}$ | \[{{f}_{i}}{{u}_{i}}\] |
\[65\text{ - }68~\] | \[2\] | \[66.5~\] | \[-9~\] | \[-3\] | \[-6\] |
\[68\text{ - }71~\] | \[4\] | \[69.5\] | \[-6~\] | \[-2\] | \[-8\] |
\[71\text{ - }74~\] | $3$ | \[72.5~\] | \[-3~\] | \[-1\] | \[-3\] |
\[74\text{ - }77~\] | \[8\] | \[75.5~\] | \[0~\] | \[0~\] | \[0~\] |
\[77\text{ -}80\] | \[7\] | \[78.5~\] | \[3\] | \[1\] | \[7\] |
\[80\text{ - }83~\] | \[4\] | \[81.5~\] | \[6~\] | \[2\] | \[8\] |
\[83\text{ - }86\] | \[2\] | \[84.5\] | \[3~\] | \[3~\] | \[6\] |
Total | \[30\] | \[4\] |
From the table, it can be observed that
\[\sum{{{f}_{i}}=30}\]
$\sum{{{f}_{i}}{{u}_{i}}}=4$
Substituting the value of \[{{u}_{i}},\] and \[{{f}_{i}}{{u}_{i}}\] in the formula of mean we get:
The required mean:
$ \overline{X}=a+\left( \frac{\sum{{{f}_{i}}{{u}_{i}}}}{\sum{{{f}_{i}}}} \right)h $
$ \Rightarrow \overline{X}=75.5+\left( \frac{4}{30} \right)3 $
$ \Rightarrow \overline{X}=75.5+0.4 $
$ \Rightarrow \overline{X}=75.9 $
Therefore, mean heart beats per minute for these women are \[75.9\] beats per minute.
5. In a retail market, fruit vendors were selling mangoes kept in packing boxes. These boxes contained a varying number of mangoes. The following was the distribution of mangoes according to the number of boxes.
Number of Mangoes | \[\text{50-52}\] | \[53-55\] | \[56-58\] | \[59-61\] | \[62-64\] |
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?
Ans:
Number of Mangoes | Number of Boxes${{f}_{i}}$ |
\[\text{50-52}\] | \[15\] |
\[53-55\] | \[110\] |
\[56-58\] | \[135\] |
\[59-61\] | \[115\] |
\[62-64\] | \[25\] |
It can be noticed that class intervals are not continuous in the given data. There is a gap of \[1\] between two class intervals. Therefore, we have to subtract $\frac{1}{2}$ to lower class and have to add $\frac{1}{2}$ to upper to make the class intervals continuous.
Let the class size of the data be $h$.
The mean can be found as given below:
$\overline{X}=a+\left( \frac{\sum{{{f}_{i}}{{u}_{i}}}}{\sum{{{f}_{i}}}} \right)h$
Suppose the assured mean $\left( a \right)$ of the data is $57$.
Class mark \[\left( {{x}_{i}} \right)\] for each interval is calculated as follows:
\[{{x}_{i}}=\frac{\text{Upper class limit+Lower class limit}}{2}\]
Class size (\[h\]) of this data is:
$ h=52.5-49.5 $
$ h=3 $
\[{{d}_{i}},\]\[{{u}_{i}},\] and \[{{f}_{i}}{{u}_{i}}\] can be calculated as follows:
Class Interval | \[{{f}_{i}}\] | \[{{x}_{i}}\] | ${{d}_{i}}={{x}_{i}}-57$ | ${{u}_{i}}=\frac{{{d}_{i}}}{3}$ | \[{{f}_{i}}{{u}_{i}}\] |
\[49.5-52.5\] | \[15\] | \[51\] | \[-6\] | \[-2\] | \[-30\] |
\[52.5-55.5\] | $110$ | \[54\] | \[-3\] | \[-1\] | \[-110\] |
\[55.5-58.5\] | $135$ | \[57\] | \[0~\] | \[0~\] | \[0~\] |
\[58.5-61.5\] | \[115\] | \[60\] | \[3\] | \[1\] | \[115\] |
\[61.5-64.5\] | \[25\] | \[63\] | \[6\] | \[2\] | \[50\] |
Total | \[400\] | \[25\] |
It can be observed that from the above table
\[\sum{{{f}_{i}}=400}\]
$\sum{{{f}_{i}}{{u}_{i}}}=25$
Substituting the value of \[{{u}_{i}},\] and \[{{f}_{i}}{{u}_{i}}\] in the formula of mean we get:
The required mean:
$ \overline{X}=a+\left( \frac{\sum{{{f}_{i}}{{u}_{i}}}}{\sum{{{f}_{i}}}} \right)h$
$ \Rightarrow \overline{X}=57+\left( \frac{25}{400} \right)3 $
$ \Rightarrow \overline{X}=57+\frac{3}{16} $
$ \Rightarrow \overline{X}=57.1875 $
Hence, mean number of mangoes kept in a packing box is $57.1875$.
In the above case, we used step deviation method as the values of \[{{f}_{i}},\text{ }{{d}_{i}}\] are large and the class interval is not continuous.
6. The table below shows the daily expenditure on food of \[\mathbf{25}\] 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.
Ans: Let the class size of the data be $h$.
The mean can be found as given below:
$\overline{X}=a+\left( \frac{\sum{{{f}_{i}}{{u}_{i}}}}{\sum{{{f}_{i}}}} \right)h$
Suppose the assured mean $\left( a \right)$ of the data is \[225\].
Class mark \[\left( {{x}_{i}} \right)\] for each interval is calculated as follows:
\[{{x}_{i}}=\frac{\text{Upper class limit+Lower class limit}}{2}\]
Class size (\[h\]) of this data is:
$ h=150-100 $
$ h=50 $
\[{{d}_{i}},\]\[{{u}_{i}},\] and \[{{f}_{i}}{{u}_{i}}\] can be calculated as follows:
Daily expenditure (in Rs) | \[{{f}_{i}}\] | \[{{x}_{i}}\] | ${{d}_{i}}={{x}_{i}}-225$ | ${{u}_{i}}=\frac{{{d}_{i}}}{50}$ | \[{{f}_{i}}{{u}_{i}}\] |
\[100-150\] | \[4\] | \[125\] | \[-100\] | \[-2\] | \[-8\] |
\[150-200\] | \[5\] | \[175\] | \[-6~\] | \[-1\] | \[-5\] |
\[200-250\] | $12$ | \[225\] | \[0~\] | \[0~\] | \[0~\] |
\[250-300\] | \[2\] | \[275\] | \[50\] | \[1\] | \[2\] |
\[300-350\] | \[2\] | \[325\] | \[100\] | \[2\] | \[4\] |
Total | \[25\] | \[-7\] |
It can be observed that from the above table
\[\sum{{{f}_{i}}=25}\]
$\sum{{{f}_{i}}{{u}_{i}}}=-7$
Substituting the value of \[{{u}_{i}},\] and \[{{f}_{i}}{{u}_{i}}\] in the formula of mean we get:
The required mean:
$ \overline{X}=a+\left( \frac{\sum{{{f}_{i}}{{u}_{i}}}}{\sum{{{f}_{i}}}} \right)\times h $
$\Rightarrow \overline{X}=225+\left( \frac{-7}{25} \right)\times 50 $
$\Rightarrow \overline{X}=221 $
Hence, mean daily expenditure on food is Rs\[211\].
7. To find out the concentration of \[\mathbf{S}{{\mathbf{O}}_{\mathbf{2}}}\] in the air (in parts per million, i.e., ppm), the data was collected for \[\mathbf{30}\] localities in a certain city and is presented below:
Concentration of \[\mathbf{S}{{\mathbf{O}}_{\mathbf{2}}}\] (in ppm) | Frequency |
\[0.00-0.04\] | \[4\] |
\[0.04-0.08\] | \[9\] |
\[0.08-0.12\] | \[9\] |
\[0.12-0.16\] | \[2\] |
\[0.16-0.20\] | \[4\] |
$0.20-0.24$ | \[2\] |
Find the mean concentration of \[\mathbf{S}{{\mathbf{O}}_{\mathbf{2}}}\] in the air.
Ans: Let the class size of the data be $h$.
The mean can be found as given below:
$\overline{X}=a+\left( \frac{\sum{{{f}_{i}}{{u}_{i}}}}{\sum{{{f}_{i}}}} \right)h$
Suppose the assured mean $\left( a \right)$ of the data is \[0.14\].
Class mark \[\left( {{x}_{i}} \right)\] for each interval is calculated as follows:
\[{{x}_{i}}=\frac{\text{Upper class limit+Lower class limit}}{2}\]
Class size (\[h\]) of this data is:
$ h=0.04-0.00 $
$ h=0.04 $
\[{{d}_{i}},\]\[{{u}_{i}},\] and \[{{f}_{i}}{{u}_{i}}\] can be calculated as follows:
Concentration of \[\text{S}{{\text{O}}_{\text{2}}}\] (in ppm) | Frequency \[{{f}_{i}}\] | Class mark \[{{x}_{i}}\] | ${{d}_{i}}={{x}_{i}}-0.14$ | ${{u}_{i}}=\frac{{{d}_{i}}}{0.04}$ | \[{{f}_{i}}{{u}_{i}}\] |
\[0.00-0.04\] | \[4\] | \[0.02\] | \[-0.12\] | \[-3\] | \[-12\] |
\[0.04-0.08\] | \[9\] | \[0.06\] | \[-0.08\] | \[-2\] | \[-5\] |
\[0.08-0.12\] | \[9\] | \[0.10\] | \[-0.10\] | \[-1~\] | \[-9\] |
\[0.12-0.16\] | \[2\] | \[0.14\] | \[0~\] | \[0~\] | \[0~\] |
\[0.16-0.20\] | \[4\] | \[0.18\] | \[0.04\] | \[1\] | \[4\] |
\[0.20-0.24\] | \[2\] | \[0.22\] | \[0.08\] | \[2\] | \[4\] |
Total |
| \[-31\] |
It can be observed that from the above table
\[\sum{{{f}_{i}}=30}\]
$\sum{{{f}_{i}}{{u}_{i}}}=-31$
Substituting the value of \[{{u}_{i}},\] and \[{{f}_{i}}{{u}_{i}}\] in the formula of mean we get:
The required mean:
$ \overline{X}=a+\left( \frac{\sum{{{f}_{i}}{{u}_{i}}}}{\sum{{{f}_{i}}}} \right)\times h $
$ \overline{X}=0.14+\left( \frac{-31}{30} \right)\times (0.04) $
$ \overline{X}=0.14-0.04133 $
$ \overline{X}=0.09867 $
$\overline{X}=0.099$ ppm
Hence, the mean concentration of \[\text{S}{{\text{O}}_{\text{2}}}\] in the air is $0.099$ppm.
8. A class teacher has the following absentee record of \[\mathbf{40}\] 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 | \[11\] | \[10\] | \[7\] | \[4\] | \[4\] | \[3\] | $1$ |
Ans: Let the class size of the data be $h$.
The mean can be found as given below:
$\overline{X}=a+\left( \frac{\sum{{{f}_{i}}{{u}_{i}}}}{\sum{{{f}_{i}}}} \right)$
Suppose the assured mean $\left( a \right)$ of the data is \[17\].
Class mark \[\left( {{x}_{i}} \right)\] for each interval is calculated as follows:
\[{{x}_{i}}=\frac{\text{Upper class limit+Lower class limit}}{2}\]
\[{{d}_{i}},\]\[{{u}_{i}},\] and \[{{f}_{i}}{{u}_{i}}\] can be calculated as follows:
Number of Days | Number of Students \[{{f}_{i}}\] | \[{{x}_{i}}\] | ${{d}_{i}}={{x}_{i}}-17$ | \[{{f}_{i}}{{d}_{i}}\] |
\[0-6\] | \[11\] | \[3\] | \[-14\] | \[-154\] |
\[6-10\] | \[10\] | \[8\] | \[-9\] | \[-90\] |
\[10-14\] | \[7\] | \[12\] | \[-5\] | \[-35\] |
\[14-20\] | \[4\] | \[17\] | \[0~\] | \[0~\] |
\[20-28\] | \[4\] | \[24\] | \[7\] | \[28\] |
\[28-38\] | \[3\] | \[33\] | \[16\] | \[48\] |
\[38-40\] | \[1\] | \[39\] | \[22\] | \[22\] |
Total | \[40\] | \[-181\] |
It can be observed that from the above table
\[\sum{{{f}_{i}}=40}\]
$\sum{{{f}_{i}}{{u}_{i}}}=-181$
Substituting the value of \[{{u}_{i}},\] and \[{{f}_{i}}{{u}_{i}}\] in the formula of mean we get:
$ \overline{X}=a+\left( \frac{\sum{{{f}_{i}}{{u}_{i}}}}{\sum{{{f}_{i}}}} \right) $
$ \Rightarrow \overline{X}=17+\left( \frac{-181}{40} \right) $
$ \Rightarrow \overline{X}=17-4.525 $
$ \Rightarrow \overline{X}=12.475 $
Hence, the mean number of days is $12.48$ days for which a student was absent.
9. The following table gives the literacy rate (in percentage) of \[\mathbf{35}\] cities. Find the mean literacy rate.
Literacy Rate (in\[%\]) | \[45-55\] | \[55-65\] | \[65-75\] | \[75-85\] | \[85-95\] |
Number of Cities | \[3\] | \[10\] | \[11\] | \[8\] | \[3\] |
Ans: Let the class size of the data be $h$.
The mean can be found as given below:
$\overline{X}=a+\left( \frac{\sum{{{f}_{i}}{{u}_{i}}}}{\sum{{{f}_{i}}}} \right)$
Suppose the assured mean $\left( a \right)$ of the data is \[70\].
Class mark \[\left( {{x}_{i}} \right)\] for each interval is calculated as follows:
\[{{x}_{i}}=\frac{\text{Upper class limit+Lower class limit}}{2}\]
Class size (\[h\]) of this data is:
$ h=55-45 $
$ h=10 $
\[{{d}_{i}},\]\[{{u}_{i}},\] and \[{{f}_{i}}{{u}_{i}}\] can be calculated as follows:
Literacy Rate (in\[%\]) | Number of Cities \[{{f}_{i}}\] | \[{{x}_{i}}\] | ${{d}_{i}}={{x}_{i}}-70$ | ${{u}_{i}}=\frac{{{d}_{i}}}{10}$ | \[{{f}_{i}}{{u}_{i}}\] |
\[45-55\] | \[3\] | \[50\] | \[-20\] | \[-2\] | \[-6\] |
\[55-65\] | \[10\] | \[60\] | \[-10\] | \[-1\] | \[-10\] |
\[65-75\] | $11$ | \[70\] | \[0~\] | \[0~\] | \[0~\] |
\[75-85\] | \[8\] | \[80\] | \[10\] | \[1\] | \[8\] |
\[85-95\] | \[3\] | \[90\] | \[20\] | \[2\] | \[6\] |
Total | \[35\] | \[-2\] |
It can be observed that from the above table
\[\sum{{{f}_{i}}=35}\]
$\sum{{{f}_{i}}{{u}_{i}}}=-2$
Substituting the value of \[{{u}_{i}},\] and \[{{f}_{i}}{{u}_{i}}\] in the formula of mean we get:
The required mean:
$ \overline{X}=a+\left( \frac{\sum{{{f}_{i}}{{u}_{i}}}}{\sum{{{f}_{i}}}} \right)\times h $
$ \Rightarrow \overline{X}=70+\left( \frac{-2}{35} \right)\times 10 $
$ \Rightarrow \overline{X}=70-\frac{20}{35} $
$\Rightarrow \overline{X}=69.43 $
Therefore, the mean literacy rate of cities is $69.43%$.
Conclusion
Class 10 Maths Chapter 13, exercise 13.1, focuses on the application of statistics to solve real-world problems. It's important to understand how to calculate measures of central tendency (mean, median, mode) and how to interpret these values in different contexts. Pay close attention to how data is organized and represented, as this will help in solving problems efficiently. Previous years' question papers have typically included 2-3 questions from this exercise, emphasizing practical application and interpretation of statistical data. Focus on understanding the concepts thoroughly and practicing different types of problems to build confidence and accuracy.
Class 10 Maths Chapter 13: Exercises Breakdown
Exercise | Number of Questions |
6 Questions & Solutions (6 Long Answers) | |
7 Questions & Solutions (7 Long Answers) |
CBSE Class 10 Maths Chapter 13 Other Study Materials
S.No. | Important Links for Chapter 13: Statistics |
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Chapter-Specific NCERT Solutions for Class 10 Maths
Given below are the chapter-wise NCERT Solutions for Class 10 Maths. Go through these chapter-wise solutions to be thoroughly familiar with the concepts.
S.No. | NCERT Solutions Class 10 Chapter-wise Maths PDF |
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3 | Chapter 3 - Pair Of Linear Equations In Two Variables Solutions |
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Study Resources for Class 10 Maths
For complete preparation of Maths for CBSE Class 10 board exams, check out the following links for different study materials available at Vedantu.

















