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 Page 1


Question:1
Define statistics as a subject.
Solution:
Statistics is the science which deals with the collection, presentation, analysis and interpretation of numerical data.
Question:2
Define some fundamental characteristics of statistics.
Solution:
The fundamental characteristics of data statistics
are as follows:
i
Numerical facts alone constitute data.
ii
Qualitative characteristics like intelligence and poverty, which cannot be measured numerically, do not form data.
iii
Data are aggregate of facts. A single observation does not form data.
iv
Data collected for a definite purpose may not be suited for another purpose.
v
Data in different experiments are comparable.
Question:3
What are primary data and secondary data? Which of the two is more reliable and why?
Solution:
Primary data: The data collected by the investigator himself with a definite plan in mind are known as primary data.
Secondary data: The data collected by someone other than the investigator are known as secondary data.
Primary data are highly reliable and relevant because they are collected by the investigator himself with a definite plan in
mind,  whereas secondary data are collected with a purpose different from that of the investigator and may not be fully relevant
to the investigation.
Question:4
Explain the meaning of each of the following terms:
i
Variate
ii
Class interval
iii
Class size
iv
Class mark
v
Class limit
vi
True class limits
vii
Frequency of a class
viii
Cumulative frequency of a class
Solution:
i
Variate : Any character which is capable of taking several different values is called a variant or a variable.
ii
Class interval : Each group into which the raw data is condensed is called class interval .
iii
Class size: The difference between the true upper limit and the true lower limit of a class is called its class size.
iv
( )
Page 2


Question:1
Define statistics as a subject.
Solution:
Statistics is the science which deals with the collection, presentation, analysis and interpretation of numerical data.
Question:2
Define some fundamental characteristics of statistics.
Solution:
The fundamental characteristics of data statistics
are as follows:
i
Numerical facts alone constitute data.
ii
Qualitative characteristics like intelligence and poverty, which cannot be measured numerically, do not form data.
iii
Data are aggregate of facts. A single observation does not form data.
iv
Data collected for a definite purpose may not be suited for another purpose.
v
Data in different experiments are comparable.
Question:3
What are primary data and secondary data? Which of the two is more reliable and why?
Solution:
Primary data: The data collected by the investigator himself with a definite plan in mind are known as primary data.
Secondary data: The data collected by someone other than the investigator are known as secondary data.
Primary data are highly reliable and relevant because they are collected by the investigator himself with a definite plan in
mind,  whereas secondary data are collected with a purpose different from that of the investigator and may not be fully relevant
to the investigation.
Question:4
Explain the meaning of each of the following terms:
i
Variate
ii
Class interval
iii
Class size
iv
Class mark
v
Class limit
vi
True class limits
vii
Frequency of a class
viii
Cumulative frequency of a class
Solution:
i
Variate : Any character which is capable of taking several different values is called a variant or a variable.
ii
Class interval : Each group into which the raw data is condensed is called class interval .
iii
Class size: The difference between the true upper limit and the true lower limit of a class is called its class size.
iv
( )
Class mark of a class: The class mark is given by 
Upper limit+Lower limit
2
.
v
Class limit: Each class is bounded by two figures, which are called class limits.
vi
True class limits: In the exclusive form, the upper and lower limits of a class are respectively known as true upper limit and
true lower limit.
In the inclusive form of frequency distribution, the true lower limit of a class is obtained by subtracting 0.5 from the lower limit
and the true upper limit of the class is obtained by adding 0.5 to the upper limit.
vii
Frequency of a class: Frequency of a class is the number of times an observation occurs in that class.
viii
Cumulative frequency of a class: Cummulative frequency of a class is the sum total of all the frequencies up to and including
that class.
Question:5
The blood groups of 30 students of a class are recorded as under:
A, B, O, O, AB, O, A, O, A, B, O, B, A, O, O, A, AB, O, A, A, O, O, AB, B, A, O, B, A, B, O.
i
Represent this data in the form of a frequency distribution table.
ii
Find out which is the most common and which is the rarest blood group among these students.
Solution:
i
 
Blood group tally marks Number of students
A 9
B 6
O 12
AB 3
ii
AB is rarest and O is most common. 
Question:6
Three coins are tossed 30 times. Each time the number of heads occurring was noted down as follows:
0, 1, 2, 2, 1, 2, 3, 1, 3, 0, 1, 3, 1, 1, 2, 2, 0, 1, 2, 1, 0, 3, 0, 2, 1, 1, 3, 2, 0, 2.
Prepare a frequency distribution table.
Solution:
Number of heads tally marks Frequency
0 6
1 10
2 9
3 5
Question:7
Following data gives the number of children in 40 families:
1,2,6,5,1,5,1,3,2,6,2,3,4,2,0,4,4,3,2,2,0,0,1,2,2,4,3,2,1,0,5,1,2,4,3,4,1,6,2,2.
Represent it in the form of a frequency distribution, taking classes 0-2, 1-4, etc.
Solution:
The minimum observation is 0 and the maximum observation is 8.
Therefore, classes of  the same size covering the given data are 0-2, 2-4, 4-6 and 6-8.          .
( )
Page 3


Question:1
Define statistics as a subject.
Solution:
Statistics is the science which deals with the collection, presentation, analysis and interpretation of numerical data.
Question:2
Define some fundamental characteristics of statistics.
Solution:
The fundamental characteristics of data statistics
are as follows:
i
Numerical facts alone constitute data.
ii
Qualitative characteristics like intelligence and poverty, which cannot be measured numerically, do not form data.
iii
Data are aggregate of facts. A single observation does not form data.
iv
Data collected for a definite purpose may not be suited for another purpose.
v
Data in different experiments are comparable.
Question:3
What are primary data and secondary data? Which of the two is more reliable and why?
Solution:
Primary data: The data collected by the investigator himself with a definite plan in mind are known as primary data.
Secondary data: The data collected by someone other than the investigator are known as secondary data.
Primary data are highly reliable and relevant because they are collected by the investigator himself with a definite plan in
mind,  whereas secondary data are collected with a purpose different from that of the investigator and may not be fully relevant
to the investigation.
Question:4
Explain the meaning of each of the following terms:
i
Variate
ii
Class interval
iii
Class size
iv
Class mark
v
Class limit
vi
True class limits
vii
Frequency of a class
viii
Cumulative frequency of a class
Solution:
i
Variate : Any character which is capable of taking several different values is called a variant or a variable.
ii
Class interval : Each group into which the raw data is condensed is called class interval .
iii
Class size: The difference between the true upper limit and the true lower limit of a class is called its class size.
iv
( )
Class mark of a class: The class mark is given by 
Upper limit+Lower limit
2
.
v
Class limit: Each class is bounded by two figures, which are called class limits.
vi
True class limits: In the exclusive form, the upper and lower limits of a class are respectively known as true upper limit and
true lower limit.
In the inclusive form of frequency distribution, the true lower limit of a class is obtained by subtracting 0.5 from the lower limit
and the true upper limit of the class is obtained by adding 0.5 to the upper limit.
vii
Frequency of a class: Frequency of a class is the number of times an observation occurs in that class.
viii
Cumulative frequency of a class: Cummulative frequency of a class is the sum total of all the frequencies up to and including
that class.
Question:5
The blood groups of 30 students of a class are recorded as under:
A, B, O, O, AB, O, A, O, A, B, O, B, A, O, O, A, AB, O, A, A, O, O, AB, B, A, O, B, A, B, O.
i
Represent this data in the form of a frequency distribution table.
ii
Find out which is the most common and which is the rarest blood group among these students.
Solution:
i
 
Blood group tally marks Number of students
A 9
B 6
O 12
AB 3
ii
AB is rarest and O is most common. 
Question:6
Three coins are tossed 30 times. Each time the number of heads occurring was noted down as follows:
0, 1, 2, 2, 1, 2, 3, 1, 3, 0, 1, 3, 1, 1, 2, 2, 0, 1, 2, 1, 0, 3, 0, 2, 1, 1, 3, 2, 0, 2.
Prepare a frequency distribution table.
Solution:
Number of heads tally marks Frequency
0 6
1 10
2 9
3 5
Question:7
Following data gives the number of children in 40 families:
1,2,6,5,1,5,1,3,2,6,2,3,4,2,0,4,4,3,2,2,0,0,1,2,2,4,3,2,1,0,5,1,2,4,3,4,1,6,2,2.
Represent it in the form of a frequency distribution, taking classes 0-2, 1-4, etc.
Solution:
The minimum observation is 0 and the maximum observation is 8.
Therefore, classes of  the same size covering the given data are 0-2, 2-4, 4-6 and 6-8.          .
( )
Frequency distribution table:
        Class              Tally mark         Frequency
        0-2
 
           11
        2-4           17
        4-6            9
        6-8            3
Question:8
Thirty children were asked about the number of hours they watched TV programmes in the previous week. The results were
found as under:
8, 4, 8, 5, 1, 6, 2, 5, 3, 12, 3, 10, 4, 12, 2, 8, 15, 1, 6, 17, 5, 8, 2, 3, 9, 6, 7, 8, 14, 12.
i
Make a grouped frequency distribution table for this data, taking class width 5 and one of the class interval as 5 –10.
ii
How many children watched television for 15 or more hours a week?
Solution:
i
 
Class interval tally marks Frequency
0-5 10
5-10 13
10-15 5
15-20 2
ii
As we can see from the table, there are 2 children who watched tv for 15 hours or more. 
Question:9
The marks obtained by 40 students of a class in an examination are given below.
3,20,13,1,21,13,3,23,16,13,18,12,5,12,5,24,9,2,7,18,20,3,10,12,7,18,2,5,7,10,16,8,16,17,8,23,24,6,23, 15.
Present the data in the form of a frequency distribution using equal class size, one such class being 10-15
15notincluded.
Solution:
The minimum observation is 0 and the maximum observation is 25.
Therefore, classes of the same size covering the given data are 0-5, 5-10, 10-15, 15-20 and 20-25.
Frequency distribution table:
                 Class Tally mark Frequency
                  0-5        6
                5-10      10
               10-15        8
               15-20        8
               20-25        8
Question:10
Construct a frequency table for the following ages inyears
of 30 students using equal class intervals, one of them being 9-12, where 12 is not included.
18,12,7,6,11,15,21,9,8,13,15,17,22,19,14,21,23,8,12,17,15,6,18,23,22,16,9,21,11,16.
Solution:
The minimum observation is 6 and the maximum observation is 24.
Therefore, classes of the same size covering the given data are 6-9, 9-12, 12-15, 15-18, 18-21 and 21-24.
Frequency distribution table:
Page 4


Question:1
Define statistics as a subject.
Solution:
Statistics is the science which deals with the collection, presentation, analysis and interpretation of numerical data.
Question:2
Define some fundamental characteristics of statistics.
Solution:
The fundamental characteristics of data statistics
are as follows:
i
Numerical facts alone constitute data.
ii
Qualitative characteristics like intelligence and poverty, which cannot be measured numerically, do not form data.
iii
Data are aggregate of facts. A single observation does not form data.
iv
Data collected for a definite purpose may not be suited for another purpose.
v
Data in different experiments are comparable.
Question:3
What are primary data and secondary data? Which of the two is more reliable and why?
Solution:
Primary data: The data collected by the investigator himself with a definite plan in mind are known as primary data.
Secondary data: The data collected by someone other than the investigator are known as secondary data.
Primary data are highly reliable and relevant because they are collected by the investigator himself with a definite plan in
mind,  whereas secondary data are collected with a purpose different from that of the investigator and may not be fully relevant
to the investigation.
Question:4
Explain the meaning of each of the following terms:
i
Variate
ii
Class interval
iii
Class size
iv
Class mark
v
Class limit
vi
True class limits
vii
Frequency of a class
viii
Cumulative frequency of a class
Solution:
i
Variate : Any character which is capable of taking several different values is called a variant or a variable.
ii
Class interval : Each group into which the raw data is condensed is called class interval .
iii
Class size: The difference between the true upper limit and the true lower limit of a class is called its class size.
iv
( )
Class mark of a class: The class mark is given by 
Upper limit+Lower limit
2
.
v
Class limit: Each class is bounded by two figures, which are called class limits.
vi
True class limits: In the exclusive form, the upper and lower limits of a class are respectively known as true upper limit and
true lower limit.
In the inclusive form of frequency distribution, the true lower limit of a class is obtained by subtracting 0.5 from the lower limit
and the true upper limit of the class is obtained by adding 0.5 to the upper limit.
vii
Frequency of a class: Frequency of a class is the number of times an observation occurs in that class.
viii
Cumulative frequency of a class: Cummulative frequency of a class is the sum total of all the frequencies up to and including
that class.
Question:5
The blood groups of 30 students of a class are recorded as under:
A, B, O, O, AB, O, A, O, A, B, O, B, A, O, O, A, AB, O, A, A, O, O, AB, B, A, O, B, A, B, O.
i
Represent this data in the form of a frequency distribution table.
ii
Find out which is the most common and which is the rarest blood group among these students.
Solution:
i
 
Blood group tally marks Number of students
A 9
B 6
O 12
AB 3
ii
AB is rarest and O is most common. 
Question:6
Three coins are tossed 30 times. Each time the number of heads occurring was noted down as follows:
0, 1, 2, 2, 1, 2, 3, 1, 3, 0, 1, 3, 1, 1, 2, 2, 0, 1, 2, 1, 0, 3, 0, 2, 1, 1, 3, 2, 0, 2.
Prepare a frequency distribution table.
Solution:
Number of heads tally marks Frequency
0 6
1 10
2 9
3 5
Question:7
Following data gives the number of children in 40 families:
1,2,6,5,1,5,1,3,2,6,2,3,4,2,0,4,4,3,2,2,0,0,1,2,2,4,3,2,1,0,5,1,2,4,3,4,1,6,2,2.
Represent it in the form of a frequency distribution, taking classes 0-2, 1-4, etc.
Solution:
The minimum observation is 0 and the maximum observation is 8.
Therefore, classes of  the same size covering the given data are 0-2, 2-4, 4-6 and 6-8.          .
( )
Frequency distribution table:
        Class              Tally mark         Frequency
        0-2
 
           11
        2-4           17
        4-6            9
        6-8            3
Question:8
Thirty children were asked about the number of hours they watched TV programmes in the previous week. The results were
found as under:
8, 4, 8, 5, 1, 6, 2, 5, 3, 12, 3, 10, 4, 12, 2, 8, 15, 1, 6, 17, 5, 8, 2, 3, 9, 6, 7, 8, 14, 12.
i
Make a grouped frequency distribution table for this data, taking class width 5 and one of the class interval as 5 –10.
ii
How many children watched television for 15 or more hours a week?
Solution:
i
 
Class interval tally marks Frequency
0-5 10
5-10 13
10-15 5
15-20 2
ii
As we can see from the table, there are 2 children who watched tv for 15 hours or more. 
Question:9
The marks obtained by 40 students of a class in an examination are given below.
3,20,13,1,21,13,3,23,16,13,18,12,5,12,5,24,9,2,7,18,20,3,10,12,7,18,2,5,7,10,16,8,16,17,8,23,24,6,23, 15.
Present the data in the form of a frequency distribution using equal class size, one such class being 10-15
15notincluded.
Solution:
The minimum observation is 0 and the maximum observation is 25.
Therefore, classes of the same size covering the given data are 0-5, 5-10, 10-15, 15-20 and 20-25.
Frequency distribution table:
                 Class Tally mark Frequency
                  0-5        6
                5-10      10
               10-15        8
               15-20        8
               20-25        8
Question:10
Construct a frequency table for the following ages inyears
of 30 students using equal class intervals, one of them being 9-12, where 12 is not included.
18,12,7,6,11,15,21,9,8,13,15,17,22,19,14,21,23,8,12,17,15,6,18,23,22,16,9,21,11,16.
Solution:
The minimum observation is 6 and the maximum observation is 24.
Therefore, classes of the same size covering the given data are 6-9, 9-12, 12-15, 15-18, 18-21 and 21-24.
Frequency distribution table:
         Class           Tally mark         Frequency
          6-9
             
               5
         9-12
              
               4
       12-15
              
               4
       15-18
              
               7
       18-21
              
               3
       21-24
              
               7
Question:11
Construct a frequency table with equal class intervals from the following data on the monthly wages inrupees
of 28 labourers working in a factory, taking one of the class intervals as 210-230
230notincluded.
220,268,258,242,210,268,272,242,311,290,300,320,319,304,302,318,306,292,254,278,210,240,280,316,306,215,256,236.
Solution:
The minimum observation is 210 and the maximum observation is 330.
Therefore, classes of the same size covering the given data are 210-230, 230-250,250-270,270-290,290-310 and 310-330.
Frequency distribution table:
 
            Class       Tally mark          Frequency
           210-230
            
               4
           230-250
            
               4
          250-270
           
               5
          270-290
             
               3
          290-310
           
               7
          310-330
           
               5
Question:12
The weights ingrams
of 40 oranges picked at random from a basket are as follows:
40,50,60,65,45,55,30,90,75,85,70,85,75,80,100,110,70,55,30,35,45,70,80,85,95,70,60,70,75,100,65,60,40,100,75,110,30,45,84.
Construct a frequency table as well as a cumulative frequency table.
Solution:
The minimum observation is 30 and the maximum observation is 120.
                                                
Frequency distribution table:
           Class                Tally mark           Frequency
30-40
                    
                4
40-50
                   
                6
50-60
                    
                3
60-70
                   
                5
70-80
                   
                9
80-90
                    
                6
90-100
                      
                2
100-110
                    
                3
110-120
                     
                2
                                     
Cumulative frequency table:
   Class   Tally mark   Frequency     Cumulative frequency
Page 5


Question:1
Define statistics as a subject.
Solution:
Statistics is the science which deals with the collection, presentation, analysis and interpretation of numerical data.
Question:2
Define some fundamental characteristics of statistics.
Solution:
The fundamental characteristics of data statistics
are as follows:
i
Numerical facts alone constitute data.
ii
Qualitative characteristics like intelligence and poverty, which cannot be measured numerically, do not form data.
iii
Data are aggregate of facts. A single observation does not form data.
iv
Data collected for a definite purpose may not be suited for another purpose.
v
Data in different experiments are comparable.
Question:3
What are primary data and secondary data? Which of the two is more reliable and why?
Solution:
Primary data: The data collected by the investigator himself with a definite plan in mind are known as primary data.
Secondary data: The data collected by someone other than the investigator are known as secondary data.
Primary data are highly reliable and relevant because they are collected by the investigator himself with a definite plan in
mind,  whereas secondary data are collected with a purpose different from that of the investigator and may not be fully relevant
to the investigation.
Question:4
Explain the meaning of each of the following terms:
i
Variate
ii
Class interval
iii
Class size
iv
Class mark
v
Class limit
vi
True class limits
vii
Frequency of a class
viii
Cumulative frequency of a class
Solution:
i
Variate : Any character which is capable of taking several different values is called a variant or a variable.
ii
Class interval : Each group into which the raw data is condensed is called class interval .
iii
Class size: The difference between the true upper limit and the true lower limit of a class is called its class size.
iv
( )
Class mark of a class: The class mark is given by 
Upper limit+Lower limit
2
.
v
Class limit: Each class is bounded by two figures, which are called class limits.
vi
True class limits: In the exclusive form, the upper and lower limits of a class are respectively known as true upper limit and
true lower limit.
In the inclusive form of frequency distribution, the true lower limit of a class is obtained by subtracting 0.5 from the lower limit
and the true upper limit of the class is obtained by adding 0.5 to the upper limit.
vii
Frequency of a class: Frequency of a class is the number of times an observation occurs in that class.
viii
Cumulative frequency of a class: Cummulative frequency of a class is the sum total of all the frequencies up to and including
that class.
Question:5
The blood groups of 30 students of a class are recorded as under:
A, B, O, O, AB, O, A, O, A, B, O, B, A, O, O, A, AB, O, A, A, O, O, AB, B, A, O, B, A, B, O.
i
Represent this data in the form of a frequency distribution table.
ii
Find out which is the most common and which is the rarest blood group among these students.
Solution:
i
 
Blood group tally marks Number of students
A 9
B 6
O 12
AB 3
ii
AB is rarest and O is most common. 
Question:6
Three coins are tossed 30 times. Each time the number of heads occurring was noted down as follows:
0, 1, 2, 2, 1, 2, 3, 1, 3, 0, 1, 3, 1, 1, 2, 2, 0, 1, 2, 1, 0, 3, 0, 2, 1, 1, 3, 2, 0, 2.
Prepare a frequency distribution table.
Solution:
Number of heads tally marks Frequency
0 6
1 10
2 9
3 5
Question:7
Following data gives the number of children in 40 families:
1,2,6,5,1,5,1,3,2,6,2,3,4,2,0,4,4,3,2,2,0,0,1,2,2,4,3,2,1,0,5,1,2,4,3,4,1,6,2,2.
Represent it in the form of a frequency distribution, taking classes 0-2, 1-4, etc.
Solution:
The minimum observation is 0 and the maximum observation is 8.
Therefore, classes of  the same size covering the given data are 0-2, 2-4, 4-6 and 6-8.          .
( )
Frequency distribution table:
        Class              Tally mark         Frequency
        0-2
 
           11
        2-4           17
        4-6            9
        6-8            3
Question:8
Thirty children were asked about the number of hours they watched TV programmes in the previous week. The results were
found as under:
8, 4, 8, 5, 1, 6, 2, 5, 3, 12, 3, 10, 4, 12, 2, 8, 15, 1, 6, 17, 5, 8, 2, 3, 9, 6, 7, 8, 14, 12.
i
Make a grouped frequency distribution table for this data, taking class width 5 and one of the class interval as 5 –10.
ii
How many children watched television for 15 or more hours a week?
Solution:
i
 
Class interval tally marks Frequency
0-5 10
5-10 13
10-15 5
15-20 2
ii
As we can see from the table, there are 2 children who watched tv for 15 hours or more. 
Question:9
The marks obtained by 40 students of a class in an examination are given below.
3,20,13,1,21,13,3,23,16,13,18,12,5,12,5,24,9,2,7,18,20,3,10,12,7,18,2,5,7,10,16,8,16,17,8,23,24,6,23, 15.
Present the data in the form of a frequency distribution using equal class size, one such class being 10-15
15notincluded.
Solution:
The minimum observation is 0 and the maximum observation is 25.
Therefore, classes of the same size covering the given data are 0-5, 5-10, 10-15, 15-20 and 20-25.
Frequency distribution table:
                 Class Tally mark Frequency
                  0-5        6
                5-10      10
               10-15        8
               15-20        8
               20-25        8
Question:10
Construct a frequency table for the following ages inyears
of 30 students using equal class intervals, one of them being 9-12, where 12 is not included.
18,12,7,6,11,15,21,9,8,13,15,17,22,19,14,21,23,8,12,17,15,6,18,23,22,16,9,21,11,16.
Solution:
The minimum observation is 6 and the maximum observation is 24.
Therefore, classes of the same size covering the given data are 6-9, 9-12, 12-15, 15-18, 18-21 and 21-24.
Frequency distribution table:
         Class           Tally mark         Frequency
          6-9
             
               5
         9-12
              
               4
       12-15
              
               4
       15-18
              
               7
       18-21
              
               3
       21-24
              
               7
Question:11
Construct a frequency table with equal class intervals from the following data on the monthly wages inrupees
of 28 labourers working in a factory, taking one of the class intervals as 210-230
230notincluded.
220,268,258,242,210,268,272,242,311,290,300,320,319,304,302,318,306,292,254,278,210,240,280,316,306,215,256,236.
Solution:
The minimum observation is 210 and the maximum observation is 330.
Therefore, classes of the same size covering the given data are 210-230, 230-250,250-270,270-290,290-310 and 310-330.
Frequency distribution table:
 
            Class       Tally mark          Frequency
           210-230
            
               4
           230-250
            
               4
          250-270
           
               5
          270-290
             
               3
          290-310
           
               7
          310-330
           
               5
Question:12
The weights ingrams
of 40 oranges picked at random from a basket are as follows:
40,50,60,65,45,55,30,90,75,85,70,85,75,80,100,110,70,55,30,35,45,70,80,85,95,70,60,70,75,100,65,60,40,100,75,110,30,45,84.
Construct a frequency table as well as a cumulative frequency table.
Solution:
The minimum observation is 30 and the maximum observation is 120.
                                                
Frequency distribution table:
           Class                Tally mark           Frequency
30-40
                    
                4
40-50
                   
                6
50-60
                    
                3
60-70
                   
                5
70-80
                   
                9
80-90
                    
                6
90-100
                      
                2
100-110
                    
                3
110-120
                     
                2
                                     
Cumulative frequency table:
   Class   Tally mark   Frequency     Cumulative frequency
30-40
         
           4                  4
40-50
        
           6                 10
50-60
         
           3                 13
60-70 
       
           5                 18
70-80
    
           9                 27
80-90
      
           6                 33
90-100
         
           2                 35
100-110
        
           3                 38
110-120
         
           2                 40
Question:13
The heights inAnscm
of 30 students of a class are given below:
161, 155, 159, 153, 150, 158, 154, 158, 160, 148, 149, 162, 163, 159, 148,
153, 157, 151, 154, 157, 153, 156, 152, 156, 160, 152, 147, 155, 155, 157.
Prepare a frequency table as well as a cumulative frequency table with 160 – 165  165notincluded
as one of the class intervals.
Solution:
Class tally marks Frequency Cumulative frequency
145-150 4 4
150-155 9 4 + 9 = 13
155-160 12 13 + 12 = 25
160-165 5 25 + 5 = 30
Question:14
Following are the ages inyears
of 360 patients, getting medical treatment in a hospital:
Ages inyears 10-20 20-30 30-40 40-50 50-60 60-70
Number of patients 90 50 60 80 50 30
Construct the cumulative frequency table for the above data.
Solution:
The cumulative frequency table can be presented as given below:
 
      Age inyears No. of patients     Cumulative frequency
          10-20 90                90         
          20-30 50       140
          30-40 60        200
          40-50 80        280
          50-60 50        330
          60-70 30        360
Question:15
Present the following as an ordinary grouped frequency table:
Marks below 10 20 30 40 50 60
Number of students 5 12 32 40 45 48
Solution:
The grouped frequency table can be presented as given below:
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FAQs on RS Aggarwal Solutions: Presentation of Data in Tabular Form - Mathematics (Maths) Class 9

1. What is the importance of presenting data in tabular form?
Ans. Presenting data in tabular form is important because it helps to organize and arrange information in a structured manner. It makes it easier to understand and interpret large sets of data, and allows for quick comparisons and analysis.
2. How can I create a table to present data in tabular form?
Ans. To create a table to present data in tabular form, you can use software programs like Microsoft Excel or Google Sheets. Simply open a new spreadsheet and input the data into the cells, labeling the rows and columns as necessary. You can then format the table by adjusting the cell sizes, applying styling options, and adding borders if desired.
3. What are the different types of tables used for presenting data?
Ans. There are several types of tables that can be used for presenting data, including frequency tables, comparative tables, and contingency tables. Frequency tables are used to show the frequency of each category or value in a dataset. Comparative tables are used to compare data across different categories or groups. Contingency tables are used to display the relationship between two or more variables.
4. How do I choose the appropriate table format for my data?
Ans. To choose the appropriate table format for your data, you should consider the type of data you have and the purpose of your analysis. If you have categorical data, a frequency table or contingency table may be suitable. If you want to compare data across different categories, a comparative table would be more appropriate. Additionally, consider the level of detail you want to include and the visual presentation that would best convey your message.
5. Can I customize the appearance of my table to make it more visually appealing?
Ans. Yes, you can customize the appearance of your table to make it more visually appealing. Most software programs offer various formatting options, such as changing font styles, colors, and sizes, applying cell shading or patterns, and adding borders or gridlines. You can also experiment with different table layouts, such as merging cells or adding subheadings, to make your table more visually engaging and easier to understand.
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