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NCERT Solutions for Class 10 Maths Chapter 13 Statistics Ex 13.3

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NCERT Solutions for Maths Class 10 Chapter 13 Statistics Exercise 13.3 - FREE PDF Download

NCERT Solutions for Class 10 Maths Chapter 13 - Statistics, Exercise 13.3, by Vedantu! This exercise focuses on essential statistical measures such as mean, median, and mode. Mastering these concepts is crucial as they form the basis for understanding data analysis and interpretation. In this chapter, students will learn how to calculate these measures from grouped and ungrouped data. Pay special attention to the methods and formulas used for each calculation, as they are vital for solving various problems efficiently. With Vedantu's Class 10 Maths NCERT Solutions step-by-step.

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Glance on NCERT Solutions Maths Chapter 13 Exercise 13.3 Class 10 | Vedantu

  • NCERT Solutions Maths Chapter 13 Exercise 13.3 Class 10 is about the Median of Grouped Data.

  • The median splits the data set into two equal parts, with half of the values above it and half below.

  • In grouped data, the median falls within a specific class interval called the median class.

  • The median class is found by locating the class interval where the cumulative frequency surpasses half of the total observations.

  • To identify the median class, calculate cumulative frequencies to see how data accumulates across intervals.

  • The median is a useful measure of central tendency, especially in fields like economics and sociology, for analysing distributions such as income or age.

  • There are seven questions in Maths Chapter 13 ex 13.3 class 10 solutions which are fully solved by experts at Vedantu.


Formulas Used in Class 10 Chapter 13 Exercise 13.3

  • Mean of Grouped Data: $Mean\left ( \bar{x} \right ) = \frac{\sum fixi}{\sum fi}$

  • Mode of Grouped Data: $Mode=L+\left ( \frac{f_{1}-f_{0}}{2f_{1}-f_{0}-f_{2}} \right )\times h$

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NCERT Solutions for Class 10 Maths Chapter 13 Statistics Ex 13.3
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Access NCERT Solutions for Maths Class 10 Chapter 13 - Statistics

Exercise: 13.3

1. The following frequency distribution gives the monthly consumption of electricity of \[\mathbf{68}\]  consumers of a locality. Find the median, mean and mode of the data and compare them.

Monthly Consumption (in units)

Number of Consumers

\[65-85\]

\[4\]

\[85-105\]

\[5\]

\[105-125\]

\[13\]

\[125-145\]

\[20\]

\[145-165\]

\[14\]

$165-185$ 

\[8\]

$185-205$

\[4\]

Ans: 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 \[32.5\].

Class mark \[\left( {{x}_{i}} \right)\] for each interval is calculated as follows:

To find the class mark for each interval, the following relation is used.

Class mark \[{{x}_{i}}=\frac{\text{Upper class limit+Lower class limit}}{2}\] 

Class size (\[h\]) of this data is:

\[h=85-65\]

\[h=20\]

[\[{{d}_{i}},\]\[{{u}_{i}},\]and \[{{f}_{i}}{{u}_{i}}\] can be calculated according to step deviation method as follows:

Monthly

consumption

(in units)

Number of Consumers

\[{{f}_{i}}\] 

Class Mark \[{{x}_{i}}\]

${{d}_{i}}={{x}_{i}}-135$ 

${{u}_{i}}=\frac{{{d}_{i}}}{20}$ 

\[{{f}_{i}}{{u}_{i}}\]

\[65-85\] 

\[4\] 

\[75\] 

\[-60\] 

\[-3\] 

\[-12\] 

\[85-105\] 

\[5\]  

\[95\]  

\[-40\] 

\[-2\] 

\[-10\] 

\[105-125\]

\[13\] 

\[115\] 

\[-20\] 

\[-1~\] 

\[-13\]

\[125-145\]

\[20\]

\[135\] 

\[0~\] 

\[0~\] 

\[0~\]

\[145-165\]  

\[14\] 

\[155\] 

\[20\] 

\[1\]  

\[14\]

\[165-185\]

\[8\]

\[175\]

\[40\]

\[2\]

\[16\]

\[185-205\]

\[4\]

\[195\]

\[60\]

\[3\]

\[12\]

Total 

\[68\]




\[7\]

It can be observed from the above table

\[\sum{{{f}_{i}}=68}\] 

$\sum{{{f}_{i}}{{u}_{i}}}=7$ 

Class size \[\left( h \right)\text{ }=\text{ }20\] 

Substituting \[{{u}_{i}},\]and \[{{f}_{i}}{{u}_{i}}\] in the formula of mean 

The required mean:

\[\overline{X}=a+\left(\frac{\sum{{{f}_{i}}{{u}_{i}}}}{\sum{{{f}_{i}}}}\right)\times h\]

\[\Rightarrow\overline{X}=135+\left(\frac{7}{68} \right)\times (20)\]

\[\Rightarrow\overline{X}=135+\frac{140}{68}\] 

\[\Rightarrow\overline{X}=137.058\]

Hence, the mean of given data is $137.058$.

 

For Mode

Mode can be calculated as

$M=l+\left( \frac{{{f}_{1}}-{{f}_{0}}}{2{{f}_{1}}-{{f}_{0}}-{{f}_{2}}} \right)\times h$

Where

\[l=\] Lower limit of modal class

${{\text{f}}_{1}}=$ Frequency of modal class

\[{{f}_{0}}=\] Frequency of class preceding the modal class

\[{{f}_{2}}=\] Frequency of class succeeding the modal class

\[h=\]Class size

From the table, it can be noticed that the maximum class frequency is $20$ ,

Belongs to class interval \[125-145\].

Modal class = \[125-145\]

 \[l=125\] 

Class size \[\text{h}=20\] 

\[{{f}_{1}}=20\] 

\[{{f}_{0}}=13\] 

\[{{f}_{2}}=14\] 

Substituting these values in the formula of mode we get:

\[M=l+\left( \frac{{{f}_{1}}-{{f}_{0}}}{2{{f}_{1}}-{{f}_{0}}-{{f}_{2}}} \right)\times h\]

\[\Rightarrow M=125+\left( \frac{20-13}{2(20)-13-14} \right)\times 20\]

\[\Rightarrow  M=125+\frac{7}{13}\times 20\]

\[\Rightarrow  M=135.76\]

Hence, the value of mode is $135.76$

 

For Median

We can calculate the median as given below:

$m=l+\left( \frac{\frac{n}{2}-cf}{f} \right)\times h$

Where

\[l=\] Lower limit of median class

\[h=\] Class size

\[f=\] Frequency of median class

\[cf=\] cumulative frequency of class preceding median class

To find the median of the given data, cumulative frequency is calculated as follows.

Monthly consumption (in units)

Number of Consumers 

Cumulative Frequency 

\[65-85\] 

\[4\] 

\[4\]

\[85-105\] 

\[5\]  

\[4+5=9\]  

\[105-125\]

\[13\] 

\[9+13=22\] 

\[125-145\]

\[20\]

\[22+20=42\] 

\[145-165\]  

\[14\] 

\[42+14=56\] 

\[165-185\]

\[8\]

\[56+8=64\]

\[185-205\]

\[4\]

\[64+4=68\]

It can be observed from the given table

\[n\text{ }=\text{ }68\] 

$\frac{\text{n}}{2}=34$

Cumulative frequency just greater than $\frac{\text{n}}{2}$ is  $42$ , belonging to

interval \[125-145\].

Therefore, median class = \[125-145\].

\[l=\text{ }125\] 

\[\text{h }=\text{ }20\] 

\[f=20\] 

\[cf=22\] 

Substituting these values in the formula of median we get:

\[m=l+\left( \frac{\frac{n}{2}-cf}{f} \right)\times h\]

\[\Rightarrow  m=125+\left( \frac{34-22}{20} \right)\times 20\]

\[\Rightarrow  m=125+12\]

\[\Rightarrow  m=137\]

Hence, median, mode, mean of the given data is \[137,\text{ }135.76,\] and \[137.05\] respectively.

 

Mean, mode and median are almost equal in this case.

 

2. If the median of the distribution is given below is\[\mathbf{28}.\mathbf{5}\], find the values of \[\mathbf{x}\] and \[\mathbf{y}\].

Class interval 

Frequency

\[0-10\]

\[5\]

\[10-20\]

\[X\]

\[20-30\]

\[20\]

\[30-40\]

\[15\]

\[40-50\]

\[Y\]

$50-60$ 

\[5\]

Total

\[60\]

Ans: We can calculate the median as given below:

$m=l+\left( \frac{\frac{n}{2}-cf}{f} \right)\times h$

Where

\[l=\] Lower limit of median class

\[h=\] Class size

\[f=\] Frequency of median class

\[cf=\] cumulative frequency of class preceding median class

The cumulative frequency for the given data is calculated as follows.

Class interval 

Frequency

Cumulative frequency

\[0-10\]

\[5\]

\[5\]

\[10-20\]

\[X\]

\[5+x\]

\[20-30\]

\[20\]

\[25+x\]

\[30-40\]

\[15\]

\[40+x\]

\[40-50\]

\[Y\]

\[40+x+y\]

$50-60$ 

\[5\]

\[45+x+y\]

Total $(n)$ 

\[60\]


It is given that the value of $\text{n}$ is $60$

From the table, it can be noticed that the cumulative frequency of last entry is \[45+x+y\]

Equating \[45+x+y\] and $\text{n}$, we get:

\[45\text{ }+\text{ }x\text{ }+\text{ }y\text{ }=\text{ }60\] 

\[x\text{ }+\text{ }y\text{ }=\text{ }15\text{ }\]……(1)

It is given that.

Median of the data is given \[28.5\] which lies in interval \[20-30\].

Therefore, median class = \[20-30\]

\[l=\text{ 20}\] 

\[cf=5+x\] 

\[f=\text{ }20\] 

\[h=10\] 

Substituting these values in the formula of median we get:

$m=l+\left( \frac{\frac{n}{2}-cf}{f} \right)\times h$ 

$\Rightarrow 28.5=20+\left( \frac{\frac{60}{2}-(5+x)}{20} \right)\times 10$ 

$\Rightarrow 8.5=\left( \frac{25-x}{2} \right)$ 

$\Rightarrow 17=25-x$ 

$\Rightarrow x=8$ 

Substituting $x=8$ in equation (1), we get:

\[8\text{ }+\text{ }y\text{ }=\text{ }15\] 

\[y\text{ }=\text{ }7\] 

Hence, the values of \[x\] and \[y\] are \[8\]  and \[7\]  respectively.

 

3. A life insurance agent found the following data for distribution of ages of \[\mathbf{100}\]  policy holders. Calculate the median age, if policies are given only to persons having age \[\mathbf{18}\]  years onwards but less than \[\mathbf{60}\]  year.

Age (in years)

Number of Policy Holders

Below $20$ 

\[2\]

Below $25$

\[6\]

Below $30$

\[24\]

Below $35$

\[45\]

Below $40$

\[78\]

Below $45$

\[89\]

Below $50$

\[92\]

Below $55$

\[98\]

Below $60$

\[100\]

Ans: We can calculate the median as given below:

$m=l+\left( \frac{\frac{n}{2}-cf}{f} \right)\times h$

Where

\[l=\] Lower limit of median class

\[h=\] Class size

\[f=\] Frequency of median class

\[cf=\] cumulative frequency of class preceding median class

In this case, class width is not the constant. We are not required to adjust the frequencies according to class intervals. The given frequency table is of less than type represented with upper class limits. The policies were given only to persons with age \[18\]  years onwards but less than \[60\]  years. Therefore, class intervals with their respective cumulative frequency can be defined as below.

Age (in years) 

Number of Policy Holders $({{f}_{i}})$ 

Cumulative Frequency

$(cf)$ 

\[18-20\]

\[2\]

\[2\]

\[20-25\]

\[6-2=4\]

\[6\]

\[25-30\]

\[24-6=18\]

\[24\]

\[30-35\]

\[45-24=21\]

\[45\]

\[35-40\]

\[78-45=33\]

\[78\]

$40-45$ 

\[89-78=11\]

\[89\]

$45-50$

\[92-89=3\]

\[92\]

$50-55$

\[98-92=6\]

\[98\]

$55-60$

\[100-98=2\]

\[100\]

Total $(n)$ 



From the table, it can be observed that \[n\text{ }=\text{ }100\] .

Thus, 

$\frac{\text{n}}{2}=50$

Cumulative frequency (\[cf\]) just greater than $\frac{n}{2}$ is\[78\] ,

belongs interval \[35\text{ }-\text{ }40\] .

Therefore, median class = \[35\text{ }-\text{ }40\]

\[l=35\] 

\[\text{h}=5\] 

\[f=33\] 

\[cf=45\] 

Substituting these values in the formula of median we get:

\[m=l+\left( \frac{\frac{n}{2}-cf}{f} \right)\times h\]

\[\Rightarrow  m=35+\left( \frac{50-45}{33} \right)\times 5\]

\[\Rightarrow m=35+\left( \frac{25}{33} \right)\]

\[\Rightarrow  m=35.76\]

Hence, median age of people who get the policies is \[35.76\] years.

 

4. The lengths of \[\mathbf{40}\]  leaves of a plant are measured correct to the nearest millimeter, and the data obtained is represented in the following table:

Length (in mm)

Number of leaves ${{f}_{i}}$ 

$118-126$ 

\[3\]

$127-135$

\[5\]

$136-144$

\[9\]

$145-153$

\[12\]

$154-162$

\[5\]

$163-171$

\[4\]

$172-180$

\[2\]

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\[\mathbf{117}.\mathbf{5}\text{ }-\text{ }\mathbf{126}.\mathbf{5},\text{ }\mathbf{126}.\mathbf{5}\text{ }-\text{ }\mathbf{135}.\mathbf{5}...\text{ }\mathbf{171}.\mathbf{5}\text{ }-\text{ }\mathbf{180}.\mathbf{5}\])

Ans: We can calculate the median as given below:

$m=l+\left( \frac{\frac{n}{2}-cf}{f} \right)\times h$

Where

\[l=\] Lower limit of median class

\[h=\] Class size

\[f=\] Frequency of median class

\[cf=\] cumulative frequency of class preceding median class

The given data does not have continuous class intervals. It can be noticed that the difference between two class intervals is\[1\] . Therefore, we will add $0.5$ in the upper class and subtract $0.5$ in the lower class.

Continuous class intervals with respective cumulative frequencies can be represented as follows.

Length (in mm)

Number of leaves ${{f}_{i}}$ 

Cumulative frequency

$117.5-126.5$ 

\[3\]

\[3\]

$126.5-135.5$

\[5\]

\[3+5=8\]

$135.5-144.5$

\[9\]

\[8+9=17\]

$144.5-153.5$

\[12\]

\[17+12=29\]

$153.5-162.5$

\[5\]

\[29+5=34\]

$162.5-171.5$

\[4\]

\[34+4=38\]

$171.5-180.5$

\[2\]

\[38+2=40\]

It can be observed from the given table

\[n=\text{40}\] 

$\frac{\text{n}}{2}=20$

From the table, it can be noticed that the cumulative frequency just greater than

$\frac{n}{2}$ is \[29\] , Belongs to interval $144.5-153.5$ .

median class = $144.5-153.5$

\[l=144.5\] 

\[\text{h}=9\] 

\[f=12\] 

\[cf=17\] 

Substituting these values in the formula of median we get:

\[m=l+\left( \frac{\frac{n}{2}-cf}{f} \right)\times h\]

\[m=144.5+\left( \frac{20-17}{12} \right)\times 9\]

\[m=144.5+\left( \frac{9}{4} \right)\]

\[m=146.75\]

Hence, median length of leaves is \[146.75\] mm.

 

5. The following table gives the distribution of the life time of \[\mathbf{400}\]  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 life time of a lamp.

Ans: We can calculate the median as given below:

$m=l+\left( \frac{\frac{n}{2}-cf}{f} \right)\times h$

Where

\[l=\] Lower limit of median class

\[h=\] Class size

\[f=\] Frequency of median class

\[cf=\] cumulative frequency of class preceding median class

The cumulative frequencies with their respective class intervals are as follows.

Lifetime (in

hours)

Number of

Lamps

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 from the given table

\[n\text{ }=400\] 

$\frac{\text{n}}{2}=200$

It can be observed that the cumulative frequency just greater than

$\frac{n}{2}$ is \[290\] ,Belongs to interval $3000-3500$ .

Median class = $3000-3500$

\[l=3000\] 

\[f=86\] 

\[cf=130\] 

\[h=500\] 

\[m=l+\left( \frac{\frac{n}{2}-cf}{f} \right)\times h\]

\[m=3000+\left( \frac{200-130}{86} \right)\times 500\] 

\[m=3000+\left( \frac{70\times 500}{86} \right)\]

\[m=3406.976\]

Hence, median life time of lamps is \[3406.98\] hours.

 

6.\[\mathbf{100}\] 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.

Ans: For median

We can calculate the median as given below:

$m=l+\left( \frac{\frac{n}{2}-cf}{f} \right)\times h$

Where

\[l=\] Lower limit of median class

\[h=\] Class size

\[f=\] Frequency of median class

\[cf=\] cumulative frequency of class preceding median class

The cumulative frequencies with their respective class intervals are as follows.

Number

of Letters

Number of

Surnames

Cumulative Frequency

$1-4$ 

\[6\]

\[6\]

\[4-7\]

\[30\]

\[30+6=36\]

\[7-10\]

\[40\]

\[36+40=76\]

\[10-13\]

\[16\]

\[76+16=92\]

\[13-16\]

\[4\]

\[92+4=96\]

\[16-19\]

\[4\]

\[96+4=100\]

Total$(n)$ 

\[100\]


It can be observed from the given table

\[n\text{ }=100\] 

$\frac{\text{n}}{2}=50$

It can be noticed that the cumulative frequency just greater than

 $\frac{n}{2}$ is \[76\] , Belongs to interval \[7-10\] .

Median class = \[7-10\]

\[l=7\] 

\[cf=36\] 

\[f=40\] 

\[\text{h}=3\] 

Substituting these values in the formula of median we get:

\[m=l+\left( \frac{\frac{n}{2}-cf}{f} \right)\times h\]

\[m=7+\left( \frac{50-36}{40} \right)\times 3\]

\[m=7+\left( \frac{14\times 3}{40} \right)\]

\[m=8.05\]

Hence, the median number of letters in the surnames is $8.05$.

For Mean

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 \[11.5\].

Class mark \[\left( {{x}_{i}} \right)\] for each interval is calculated as follows:

Class mark \[\left( {{x}_{i}} \right)=\frac{\text{Upper class limit+Lower class limit}}{2}\] 

Class size (\[h\]) of this data is:

\[h=4-1\]

\[h=3\]

\[{{d}_{i}},\]\[{{u}_{i}},\]and \[{{f}_{i}}{{u}_{i}}\] can be calculated according to step deviation method as follows:

Number of letters

Number of surnames

\[{{f}_{i}}\] 


  \[{{x}_{i}}\]

${{d}_{i}}={{x}_{i}}-11.5$ 

${{u}_{i}}=\frac{{{d}_{i}}}{20}$ 

\[{{f}_{i}}{{u}_{i}}\]

$1-4$ 

\[6\]

\[2.5\] 

\[-9\] 

\[-3\] 

\[-18\] 

\[4-7\]

\[30\]

\[5.5\]  

\[-6\] 

\[-2\] 

\[-60\] 

\[7-10\]

\[40\]

\[8.5\] 

\[-3\] 

\[-1~\] 

\[-40\]

\[10-13\]

\[16\]

\[11.5\] 

\[0~\] 

\[0~\] 

\[0~\]

\[13-16\]

\[4\]

\[14.5\] 

\[3\] 

\[1\]  

\[4\]

\[16-19\]

\[4\]

\[17.5\]

\[6\]

\[2\]

\[8\]

Total 

\[100\]




\[-106\]

It can be observed from the above table

$\sum{{{f}_{i}}{{u}_{i}}}=-106$

\[\sum{{{f}_{i}}=100}\] 

Substituting \[{{u}_{i}},\]and \[{{f}_{i}}{{u}_{i}}\] in the formula of mean 

The required mean:

$\overline{X}=a+\left( \frac{\sum{{{f}_{i}}{{u}_{i}}}}{\sum{{{f}_{i}}}} \right)\times h$ 

$\overline{X}=11.5+\left( \frac{-106}{100} \right)\times 3$ 

\[\Rightarrow \overline{X}=11.5-3.18\]

\[\Rightarrow \overline{X}=8.32\]

Hence the mean of number of letters in the surnames is $8.32$.

For Mode

Mode can be calculated as

$M=l+\left( \frac{{{f}_{1}}-{{f}_{0}}}{2{{f}_{1}}-{{f}_{0}}-{{f}_{2}}} \right)\times h$

Where

\[l=\] Lower limit of modal class

${{\text{f}}_{1}}=$ Frequency of modal class

\[{{f}_{0}}=\] Frequency of class preceding the modal class

\[{{f}_{2}}=\] Frequency of class succeeding the modal class

\[h=\]Class size

The data in the given table can be written as

Number

of Letters

Frequency $({{f}_{i}})$ 

$1-4$ 

\[6\]

\[4-7\]

\[30\]

\[7-10\]

\[40\]

\[10-13\]

\[16\]

\[13-16\]

\[4\]

\[16-19\]

\[4\]

Total$(n)$ 

\[100\]

From the table, it can be observed that the maximum class frequency is \[40\]

Belongs to \[7-10\] class intervals.

Therefore, modal class = \[7-10\]

\[l=7\] 

\[h=3\] 

\[{{f}_{1}}=40\] 

\[{{f}_{0}}=30\] 

\[{{f}_{2}}=16\] 

Substituting these values in the formula of mode we get:

$m=l+\left( \frac{{{f}_{1}}-{{f}_{0}}}{2{{f}_{1}}-{{f}_{0}}-{{f}_{2}}} \right)\times h$ 

\[m=7+\left( \frac{40-30}{2(40)-30-16} \right)\times 3\] 

\[m=7+\left( \frac{10}{34} \right)\times 3\] 

\[m=7+\frac{30}{34}\]

\[m=7.88\]

Hence, modal size of surname is \[7.88\].

 

7.The distribution below gives the weights of \[\mathbf{30}\]  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

\[2\]

\[3\]

\[8\]

\[6\]

\[6\]

\[3\]

\[2\]

Ans: We can calculate the median as given below:

$m=l+\left( \frac{\frac{n}{2}-cf}{f} \right)\times h$

Where

\[l=\] Lower limit of median class

\[h=\] Class size

\[f=\] Frequency of median class

\[cf=\] cumulative frequency of class preceding median class

The cumulative frequencies with their respective class intervals are as follows :

Weight (in kg)

Number

of Students

Cumulative Frequency

\[40-45\] 

\[2\]

\[2\]

\[45-50\]

\[3\]

\[2+3=5\]

\[50-55\]

\[8\]

\[5+8=13\]

\[55-60\]

\[6\]

\[13+6=19\]

\[60-65\]

\[6\]

\[19+6=25\]

\[65-70\]

\[3\]

\[25+3=28\]

\[70-75\]

\[2\]

\[28+2=30\]

Total$(n)$ 

\[30\]


It can be observed from the given table

\[n\text{ }=30\] 

$\frac{\text{n}}{2}=15$

Cumulative frequency just greater than $\frac{n}{2}$ is \[19\], Belongs to class interval \[55-60\].

Median class = \[55-60\]

\[l=55\] 

\[f=6\] 

\[cf=13\] 

\[h=5\] 

Substituting these values in the formula of median we get:

$m=l+\left( \frac{\frac{n}{2}-cf}{f} \right)\times h$ 

$m=55+\left( \frac{15-13}{6} \right)\times 5$ 

$m=55+\left( \frac{10}{6} \right)$ 

$m=56.67$ 

Hence, median weight is \[56.67\] kg.


Conclusion

Class 10 maths chapter 13 exercise 13.3, students will deal with problems focused on determining the median of grouped data, an important measure of central tendency that identifies the middle value in a dataset. The provided grouped data will help students find the median for both odd and even numbers of observations, reinforcing their grasp of statistical methods. These solutions follow the guidelines and formulas illustrated in the example questions, offering clear and structured problem-solving approaches. For a thorough understanding and additional study resources, students can access notes, books, and question papers. NCERT solutions for class 10 ex 13.3 are invaluable for those looking for detailed and accurate answers across all subjects, organized by class and chapter.


Class 10 Maths Chapter 13: Exercises Breakdown

Exercise

Number of Questions

Exercise 13.1

9 Questions & Solutions (9 Long Answers)

Exercise 13.2

6 Questions & Solutions (6 Long Answers)



CBSE Class 10 Maths Chapter 13 Other Study Materials



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.



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.

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FAQs on NCERT Solutions for Class 10 Maths Chapter 13 Statistics Ex 13.3

1. What is the main approach to solve median problems in NCERT Solutions for Class 10 Maths Chapter 13 Exercise 13.3?

The standard approach for finding the median in grouped data involves:

  • Calculating the cumulative frequency to identify the median class.
  • Applying the formula m = l + [(n/2 − cf) / f] × h where l = lower limit of median class, n = total number of observations, cf = cumulative frequency of the class before, f = frequency of median class, h = class interval width.
  • Stepwise substitution with careful interpretation of the data table as per CBSE 2025–26 syllabus.

2. How do you determine the median class in a grouped frequency distribution for Class 10 Statistics NCERT Solutions?

To find the median class:

  • First, compute the total number of observations (n) by summing all frequencies.
  • Calculate n/2.
  • The median class is the class interval whose cumulative frequency just exceeds n/2.
This correctly locates the class interval containing the median value as per CBSE guidelines.

3. What is the relationship between mean, median, and mode explained in NCERT Solutions for Class 10 Maths Chapter 13?

In a symmetrical distribution, the relationship is given by the formula: Mean – Mode = 3 (Mean – Median). This means that if any two of these measures are known, the third can be found using this formula, provided the distribution is close to normal. However, this may not strictly hold for skewed data.

4. Why is understanding cumulative frequency important for solving Class 10 Maths Statistics Exercise 13.3?

Cumulative frequency helps organize raw data into a format that allows easy identification of the median class. Without cumulative frequency, you cannot accurately apply the median formula or determine which class interval contains the median observation.

5. What are the common mistakes students make in Class 10 Chapter 13 NCERT median calculation problems?

Common errors include:

  • Incorrect calculation of cumulative frequency, especially when converting less-than or more-than type tables to class intervals.
  • Using the wrong class interval width (h).
  • Misidentifying the median class.
  • Forgetting to adjust for non-continuous classes (e.g., not making classes continuous by correcting boundaries).

6. How do NCERT Solutions for Class 10 Maths Chapter 13 Exercise 13.3 help in understanding real-life data analysis?

This exercise teaches you how to analyze and interpret grouped data, calculate measures of central tendency, and apply these concepts in fields like economics or social sciences—core skills useful for interpreting surveys, research, and daily information processing.

7. What prerequisite concepts should be clear before attempting Ex 13.3 in NCERT Solutions for Class 10 Maths Chapter 13?

You should be comfortable with:

  • Frequency distribution tables
  • Understanding class intervals and class boundaries
  • Calculating cumulative frequencies
  • Concepts of mean, median, and mode
  • Basic algebraic operations
These fundamentals are essential for accurate and efficient problem-solving in this exercise.

8. How is the median formula derived for grouped data in Class 10 NCERT Maths?

The median formula m = l + [(n/2 – cf) / f] × h is based on the assumption of uniform distribution of data within each class. The logic partitions the data set at n/2 and calculates the precise value by proportionally scaling within the median class interval.

9. In which cases are mean, median, and mode nearly equal, as observed in Class 10 Statistics NCERT Solutions?

Mean, median, and mode tend to be approximately equal when a data distribution is symmetrical and does not have significant outliers or skew. This is typical in a normal (bell-shaped) distribution and is illustrated in some NCERT example solutions in Exercise 13.3.

10. What should students do if class intervals in grouped data are not continuous when applying the median formula?

If the class intervals are not continuous (i.e., there are gaps between intervals), students must make them continuous by adjusting class boundaries, typically subtracting 0.5 from the lower boundary and adding 0.5 to the upper boundary, before calculating cumulative frequencies and applying the median formula as per NCERT standards.

11. Why is Exercise 13.3 particularly important for CBSE Class 10 board exams based on current exam trends?

Exercise 13.3 focuses on the calculation of the median of grouped data—a frequently tested concept in CBSE board exams for Class 10 Maths. Mastery of this topic is crucial for scoring well, as it demonstrates understanding in both computation and interpretation of statistical data, meeting core exam skill requirements for 2025–26.

12. Can students use NCERT Solutions for Class 10 Maths Chapter 13 to verify their board exam answers?

Yes, NCERT Solutions provide stepwise solutions as per the CBSE 2025–26 syllabus, making them reliable for verifying the methods and final answers, especially for long-answer statistical problems involving the mean, median, and mode of grouped data.

13. What if two or more classes have the same maximum frequency (modal class) in grouped data in NCERT Exercise 13.3?

If two or more classes share the highest frequency, the distribution is multimodal. According to NCERT, you may report all modal classes or use other clues/context to select one, but often the data does not require multiple modes for median calculation, which relies only on cumulative frequency.

14. How can understanding the median help analyze social or economic data in real-life scenarios, as seen in Class 10 Statistics?

The median is less affected by outliers than the mean, making it a robust indicator for central tendency in income statistics, age distributions, and similar social data sets, allowing for more accurate analysis of typical values.

15. Are all exam questions from Chapter 13 Exercise 13.3 purely formula-based?

No, while many questions require computation using formulas, some may also test your conceptual understanding, error-spotting, interpretation of results, and application skills, as required by the CBSE Class 10 syllabus and current exam patterns.