SlideShare a Scribd company logo
DATA HANDLING
DATA
u Any raw information which we collect to know about it and to
compare certain things is called Data. This information is in the form
of facts and figures and is collected for some specific purpose.
u Example
Number of students in the class
The temperature in a state on daily basis.
u Data Handling
u We need to collect, organize and represent that data to draw
inferences from it. This is called Data Handling.
u Collecting Data
u Collection of data depends upon the further requirement of the
data. Before collecting any data we must know that what will be
the use of data.
u If we have to compare the marks of the toppers in different classes
then we need the data of all the classes not only one class having
any topper.
Organization of Data
u Before using any data, first, we need to organize it in a systematic
manner so that it could be understood easily. Generally, data is
organized in tabular form as it is easy to read and understand.
Representative Values
There must be a particular value which represents the complete data.
This is the average of the data. The average lies between the smallest
and the largest number of data so it is called Central tendency of the
group of data.
There are three types of central tendency of data-
1. Arithmetic Mean
The mean is the average of the number of observations. To calculate mean we
have to divide the sum of the values of the observations by the total number of
observations.
Example
Q1. The score of 8 students in science is given. Find the average score
of the students.
25, 28, 23, 24, 29, 35, 42, 48
u Solution
u Remark: This is not necessary that the value of mean will be from
one of the observations.
RANGE
u Arithmetic mean lies between the smallest and the largest observation. A range is a
difference between the largest and the smallest observation.
u Range = Largest Observation – Smallest Observation
u Example
u If the age of the students in a class is given then what will be the range of the given
students?
EXERCISE – 3.1
EXERCISE -3.1
u Solution 1:
Let us have the heights of 10 students are as follows:
140 cm, 141.5 cm, 138 cm, 150 cm, 161 cm,
138 cm, 140.5 cm, 135.5 cm, 160 cm, 158 cm
Here, minimum height = 135.5 cm
Maximum height =161 cm
∴ Range = Maximum height – Minimum height
= 161 cm — 135.5 cm = 25.5 cm
Hence, the required range = 25.5 cm.
EXERCISE -3.1
u Solution 2:
u Let us form a frequency distribution table:
u (i) 9 is the highest marks.
u (ii) 1 is the lowest marks.
u (iii) Range = Max. marks – Min. marks
u = 9 – 1 = 8
u (iv) Arithmetic mean =
!""
#"
= 5
u Solution 3:
u First 5 whole numbers are 0, 1, 2, 3, 4
u ∴ Mean =
!"#"$"%"&
'
=
#!
'
=2
u Hence, the required mean = 2.
EXERCISE -3.1
u Solution 4:
u Following are the scores of the runs in eight innings:
u 58, 76, 40, 35, 46, 45, 0, 100
EXERCISE -3.1
EXERCISE -3.1
u SOLUTION 5:
EXERCISE -3.1
u SOLUTION 6:
EXERCISE -3.1
EXERCISE -3.1
u SOLUTION 7:
EXERCISE -3.1
u SOLUTION 8:
EXERCISE -3.1
u SOLUTION 9:
Mode
u The mode of a set of observations is the observation that occurs
most often.
Example: Given set of numbers: 1, 1, 2, 4, 3, 2, 1, 2, 2, 4
Ascending Order = 1, 1, 1, 2, 2, 2, 2, 3, 4, 4
∴ Mode of this data is 2 because it occurs more frequently.
Note: A data can have more than 1 mode.
MEDIAN
u When a given data is arranged in ascending (or descending) order,
then the middlemost observation is called the median of the data.
u Example : Marks scored by seven students in a class are: 21, 32, 18
,93, 21, 36, 50.
Observations in ascending order: 18, 21, 21, 32, 36, 50, 93.
Middle most value = 32
∴ Median is 32.
CHECK YOUR ANSWER 1
u Solution:-
u Arranging the given scores in an ascending order, we get
u 5, 9, 10, 12, 15, 16, 19, 20, 20, 20, 20, 23, 24, 25, 25
u Mode,
u Mode is the value of the variable which occurs most frequently.
u Clearly, 20 occurs maximum number of times.
u Hence, mode of the given sores is 20
u Median,
u The value of the middle-most observation is called the median of the data.
u Here n = 15, which is odd.
u Where, n is the number of the students.
u ∴median = value of ½ (n + 1)th observation.
u = ½ (15 + 1)
u = ½ (16)
u = 16/2
u = 8
u Then, value of 8th term = 20
u Hence, the median is 20.
u Yes, both the values are same.
CHECK YOUR ANSWER 2
u Solution:-
u Arranging the runs scored in a cricket match by 11 players in an ascending order, we get
u 6, 8, 10, 10, 15, 15, 15, 50, 80, 100, 120
u Mean,
u Mean of the given data = Sum of all observations/ Total number of observations
u = (6 + 8 + 10 + 10 + 15 + 15 + 15 + 50 + 80 + 100 + 120)/ 11
u = 429/11
u = 39
u Mode,
u Mode is the value of the variable which occurs most frequently.
u Clearly, 15 occurs maximum number of times.
u Hence, mode of the given sores is 15
u Median,
u The value of the middle-most observation is called the median of the data.
u Here n = 11, which is odd.
u Where, n is the number of players.
u ∴median = value of ½ (n + 1)th observation.
u = ½ (11 + 1)
u = ½ (12)
u = 12/2
u = 6
u Then, value of 6th term = 15
u Hence, the median is 15.
u No, these three are not same.
CHECK YOUR ANSWER 3
u Solution:-
u Arranging the given weights 15 students of a class in an ascending order, we get
u 32, 35, 36, 37, 38, 38, 38, 40, 42, 43, 43, 43, 45, 47, 50
u (i) Mode and Median
u Mode,
u Mode is the value of the variable which occurs most frequently.
u Clearly, 38 and 43 both occurs 3 times.
u Hence, mode of the given weights are 38 and 43.
u Median,
u The value of the middle-most observation is called the median of the data.
u Here n = 15, which is odd.
u Where, n is the number of the students.
u ∴median = value of ½ (n + 1)th observation.
u = ½ (15 + 1)
u = ½ (16)
u = 16/2
u = 8
u Then, value of 8th term = 40
u Hence, the median is 40.
u (ii) Yes, there are 2 modes for the given weights of the students.
CHECK YOUR ANSWER 4
u Arranging the given data in an ascending order, we get
u = 12, 12, 13, 13, 14, 14, 14, 16, 19
u Mode,
u Mode is the value of the variable which occurs most frequently.
u Clearly, 14 occurs maximum number of times.
u Hence, mode of the given data is 14.
u Median,
u The value of the middle-most observation is called the median of the data.
u Here n = 9, which is odd.
u Where, n is the number of the students.
u ∴median = value of ½ (9 + 1)th observation.
u = ½ (9 + 1)
u = ½ (10)
u = 10/2
u = 5
u Then, value of 5th term = 14
u Hence, the median is 14.
CHECK YOUR ANSWER 5
u (i) The mode is always one of the numbers in a data.
u Solution:-
u The statement is given above is true.
u Because, Mode is the value of the variable which occurs most frequently in the given data.
u Hence, mode is always one of the numbers in a data.
u (ii) The mean is one of the numbers in a data.
u Solution:-
u The statement is given above is false.
u Because, mean is may be or may not be one of the number in a data.
u (iii) The median is always one of the numbers in a data.
u Solution:-
u The statement is given above is true.
u Because, median is the value of the middle-most observation in the given data while arranged in
ascending or descending order.
u Hence, median is always one of the numbers in a data
u (iv) The data 6, 4, 3, 8, 9, 12, 13, 9 has mean 9.
u Solution:-
u Mean = Sum of all given observations/ number of observations
u = (6 + 4 + 3 + 8 + 9 + 12 + 13 + 9)/8
u = (64/8)
u = 8
u Hence, the given statement is false.
CHECK YOUR ANSWER 1
u Solution:-
u The bar graph represents the pets owned by the students.
u (a) From bar graph, the most popular pet is Cat. It is owned by the
10 students out of 12 students.
u (b) From the bar graph, 8 students have dog as a pet out of 12
students.
CHECK YOUR ANSWER 2
u (i) By observing bar graph,
u 175 books were sold in the year 1989.
u 475 books were sold in the year 1990.
u 225 books were sold in the year 1992.
u (ii) By observing bar graph,
u 475 books were sold in the year 1990.
u 225 books were sold in the year 1992.
u (iii) By observing bar graph,
u In the years 1989 and 1992, the number of books sold were less than 250.
u (iv) By observing the bar graph, we can conclude that,
u The number of books sold in the year 1989 is about 1 and ¾th part of 1 cm.
u WKT, Scale is taken as 1 cm = 100 books
u = 100 + (¾ × 100)
u = 100 + (3 × 25)
u = 100 + 75
u = 175
CHECK YOUR ANSWER 3
(a)We will take the scale as 1 unit = 10 children.
Because, we can represent a better and
clear difference among the number of
students of class 7th and class 9th.
(b) (i) Class 5th has the maximum number of
children i.e. 135 and class 7th has the minimum
number of children i.e. 95.
(ii) The total number of students in class 6th is 120
and the total number of students in class 8th is
100
Then,
Ratio between the number of students of class
6th and 8th,
= (120/100)
= 6/5
= 6: 5
CHECK YOUR ANSWER 4
(i) By observing the double bar
graph, there was a maximum
marks increase in the Maths
subject. So, the child has
improved his performance in
Maths.
(ii) By observing the double bar
graph, the improvement was the
least in S. Science.
(iii) By observing the double bar
graph, the performance in Hindi
has gone down.
CHECK YOUR ANSWER 5
(i) The fig above is the double bar graph.
Which represents the people who
prefer either watching or participating
in different sports. By observing the
double bar graph, we came to
conclude that most of the people like
watching and participating cricket
while least number of people like
watching and participating in Athletics.
(ii) By observing the double bar graph, we
came to conclude that the people who
like watching and participating in cricket is
the tallest among all the bars. So, cricket is
the most popular sport.
(iii) By observing the double bar graph, we
came to conclude that watching sports
has more preference, rather than
participating in sports.
u 6. Take the data giving the minimum and the maximum
temperature of various cities given in the beginning of this chapter
(Table 3.1). Plot a double bar graph using the data and answer the
following:
u (i) Which city has the largest difference in the minimum and
maximum temperature on the given date?
u (ii) Which is the hottest city and which is the coldest city?
u (iii) Name two cities where maximum temperature of one was less
than the minimum temperature of the other.
u (iv) Name the city which has the least difference between its
minimum and the maximum temperature.
CHECK YOUR ANSWER 6
CHECK YOUR ANSWER 6
u (i) By observing the double bar graph, we came to conclude that Jammu
has the largest difference in the minimum and maximum temperature on
20.6.2006.
u (ii) By observing the double bar graph, we came to conclude that Jammu
is the hottest city and Bangalore is the coldest city.
u (iii) By observing the double bar graph, Bangalore and Jaipur, Bangalore
and Ahmedabad. For Bangalore, the maximum temperature was 28oC,
while minimum temperature of both Ahmadabad and Jaipur was 29oC.
u (iv) By observing the double bar graph, Mumbai has the least difference
between its minimum and the maximum temperature.
CHECK YOUR ANSWER 1
u (i) You are older today than yesterday.
u Solution:-
u It is certain to happen.
u (ii) A tossed coin will land heads up.
u Solution:-
u It can happen but not certain.
u (iii) A die when tossed shall land up with 8 on top.
u Solution:-
u It is impossible. Because, there are only six faces on a die is marked as 1, 2, 3, 4, 5, and 6 on it.
u (iv) The next traffic light seen will be green.
u Solution:-
u It can happen but not certain.
u (v) Tomorrow will be a cloudy day.
u Solution:-
u It can happen but not certain.
CHECK YOUR ANSWER 2
u (i) What is the probability of drawing a marble with number 2?
u Solution:-
u From the question, it is given that
u There are 6 marbles in the box with numbers from 1 to 6 are marked.
u Probability of drawing a marble with number 2 = Number of favourable outcomes/
u Number of possible outcomes
u = (1/6)
u (ii) What is the probability of drawing a marble with number 5?
u Solution:-
u From the question, it is given that
u There are 6 marbles in the box with numbers from 1 to 6 are marked.
u Probability of drawing a marble with number 5 = Number of favourable outcomes/
u Number of possible outcomes
u = (1/6)
CHECK YOUR ANSWER 3
u A coin has two faces one is Head and other one is Tail.
u Now, one team can choose either Head or Tail.
u Probability of our team starts first= Number of favourable outcomes/
u Number of possible outcomes
u = ½
CHECK YOUR ANSWER 4

More Related Content

What's hot

Data Handling
Data HandlingData Handling
Data Handling
Manisha Keim
 
Triangles and its all types
Triangles and its all typesTriangles and its all types
Triangles and its all types
mirabubakar1
 
Data Handling
Data Handling Data Handling
Data Handling
75193
 
Triangles and its properties
Triangles  and its propertiesTriangles  and its properties
Triangles and its propertiesRishabh Jain
 
Lines and angles
Lines and anglesLines and angles
Lines and angles
Soumya Sankar Modak
 
Understanding Quadrilaterals Class 8
Understanding Quadrilaterals Class 8Understanding Quadrilaterals Class 8
Understanding Quadrilaterals Class 8
jai3077
 
Data handling Presentation with solved examples
Data handling Presentation with solved examplesData handling Presentation with solved examples
Data handling Presentation with solved examples
rithikkapoor7
 
Properties of a triangle
Properties of a triangleProperties of a triangle
Properties of a triangle
REMYA321
 
Mensuration
MensurationMensuration
Mensurationitutor
 
Maths PPT class 7
Maths PPT class 7 Maths PPT class 7
Maths PPT class 7
Soumya Jain
 
Symmetry Presentation By Sharanya
Symmetry Presentation By SharanyaSymmetry Presentation By Sharanya
Symmetry Presentation By SharanyaDisha Shahani
 
Understanding quadrilaterals chapter3 grade 8 cbse
Understanding quadrilaterals  chapter3 grade 8 cbseUnderstanding quadrilaterals  chapter3 grade 8 cbse
Understanding quadrilaterals chapter3 grade 8 cbse
htanny
 
Symmetry In Math
Symmetry In MathSymmetry In Math
Symmetry In Mathcaniglia
 
Triangles and their properties
Triangles and their propertiesTriangles and their properties
Triangles and their propertiesOjasvita Chauhan
 
Basic geometrical ideas class vi
Basic geometrical ideas class viBasic geometrical ideas class vi
Basic geometrical ideas class viadabra66
 
Lines and angles For Class 7, 8, 9
Lines and angles For Class 7, 8, 9 Lines and angles For Class 7, 8, 9
Lines and angles For Class 7, 8, 9 75193
 
Lines and angles class 7 mathematics
Lines and angles class 7 mathematicsLines and angles class 7 mathematics
Lines and angles class 7 mathematics
SatwantKaur20
 
CLASS VI MATHS SYMMETRY
CLASS VI MATHS SYMMETRYCLASS VI MATHS SYMMETRY
CLASS VI MATHS SYMMETRY
Rc Os
 

What's hot (20)

Data Handling
Data HandlingData Handling
Data Handling
 
Triangles and its all types
Triangles and its all typesTriangles and its all types
Triangles and its all types
 
Data Handling
Data Handling Data Handling
Data Handling
 
Triangles and its properties
Triangles  and its propertiesTriangles  and its properties
Triangles and its properties
 
Lines and angles
Lines and anglesLines and angles
Lines and angles
 
Understanding Quadrilaterals Class 8
Understanding Quadrilaterals Class 8Understanding Quadrilaterals Class 8
Understanding Quadrilaterals Class 8
 
Data handling Presentation with solved examples
Data handling Presentation with solved examplesData handling Presentation with solved examples
Data handling Presentation with solved examples
 
Properties of a triangle
Properties of a triangleProperties of a triangle
Properties of a triangle
 
Mensuration
MensurationMensuration
Mensuration
 
Maths PPT class 7
Maths PPT class 7 Maths PPT class 7
Maths PPT class 7
 
Symmetry Presentation By Sharanya
Symmetry Presentation By SharanyaSymmetry Presentation By Sharanya
Symmetry Presentation By Sharanya
 
Understanding quadrilaterals chapter3 grade 8 cbse
Understanding quadrilaterals  chapter3 grade 8 cbseUnderstanding quadrilaterals  chapter3 grade 8 cbse
Understanding quadrilaterals chapter3 grade 8 cbse
 
Symmetry In Math
Symmetry In MathSymmetry In Math
Symmetry In Math
 
Triangles
TrianglesTriangles
Triangles
 
Triangles and their properties
Triangles and their propertiesTriangles and their properties
Triangles and their properties
 
Basic geometrical ideas class vi
Basic geometrical ideas class viBasic geometrical ideas class vi
Basic geometrical ideas class vi
 
Lines and angles For Class 7, 8, 9
Lines and angles For Class 7, 8, 9 Lines and angles For Class 7, 8, 9
Lines and angles For Class 7, 8, 9
 
Lines and angles class 7 mathematics
Lines and angles class 7 mathematicsLines and angles class 7 mathematics
Lines and angles class 7 mathematics
 
Number Systems
Number Systems Number Systems
Number Systems
 
CLASS VI MATHS SYMMETRY
CLASS VI MATHS SYMMETRYCLASS VI MATHS SYMMETRY
CLASS VI MATHS SYMMETRY
 

Similar to DATA HANDLING CLASS 7.pdf

Statistics for math (English Version)
Statistics for math (English Version)Statistics for math (English Version)
Statistics for math (English Version)
Tito_14
 
Measures of Central Tendency of Ungroup Data-Demo.pptx
Measures of Central Tendency of Ungroup Data-Demo.pptxMeasures of Central Tendency of Ungroup Data-Demo.pptx
Measures of Central Tendency of Ungroup Data-Demo.pptx
RoquiMabugayGonzaga
 
statistics 10th (1) (3).pdf
statistics 10th (1) (3).pdfstatistics 10th (1) (3).pdf
statistics 10th (1) (3).pdf
ABHISHEKKUMAR414336
 
Mean of grouped data.docx
Mean of grouped data.docxMean of grouped data.docx
Mean of grouped data.docx
Angeli Lim
 
Central Tendency.pptx
Central Tendency.pptxCentral Tendency.pptx
Central Tendency.pptx
CHIRANTANMONDAL2
 
Introduction-to-Analyzing-Statistical-Data.pdf
Introduction-to-Analyzing-Statistical-Data.pdfIntroduction-to-Analyzing-Statistical-Data.pdf
Introduction-to-Analyzing-Statistical-Data.pdf
chrisv1443
 
Mean Mode Median.docx
Mean Mode Median.docxMean Mode Median.docx
Mean Mode Median.docx
Sameeraasif2
 
Statistics " Measurements of central location chapter 2"
Statistics " Measurements of central location chapter 2"Statistics " Measurements of central location chapter 2"
Statistics " Measurements of central location chapter 2"
GanizaniBarnet
 
Module 3 statistics
Module 3   statisticsModule 3   statistics
Module 3 statistics
dionesioable
 
Frequency distribution, central tendency, measures of dispersion
Frequency distribution, central tendency, measures of dispersionFrequency distribution, central tendency, measures of dispersion
Frequency distribution, central tendency, measures of dispersion
Dhwani Shah
 
Statistics Methods and Probability Presentation - Math 201.pptx
Statistics Methods and Probability Presentation - Math 201.pptxStatistics Methods and Probability Presentation - Math 201.pptx
Statistics Methods and Probability Presentation - Math 201.pptx
MdSanjidulKarim
 
Determining measures of central tendency for grouped data
Determining measures of central tendency for grouped dataDetermining measures of central tendency for grouped data
Determining measures of central tendency for grouped data
Alona Hall
 
Determining measures of central tendency for grouped data
Determining measures of central tendency for grouped dataDetermining measures of central tendency for grouped data
Determining measures of central tendency for grouped data
Alona Hall
 
data handling class 8
data handling class 8data handling class 8
data handling class 8
HimakshiKava
 
Questions Of Quantitative Aptitude Tests For Competitive Examinations
Questions Of Quantitative Aptitude Tests For Competitive ExaminationsQuestions Of Quantitative Aptitude Tests For Competitive Examinations
Questions Of Quantitative Aptitude Tests For Competitive ExaminationsDr. Trilok Kumar Jain
 
Questions of quantitative aptitude tests for competitive examinations
Questions of quantitative aptitude tests for competitive examinations Questions of quantitative aptitude tests for competitive examinations
Questions of quantitative aptitude tests for competitive examinations
Dr. Trilok Kumar Jain
 
Questions Of Quantitative Aptitude Tests For Competitive Examinations
Questions Of  Quantitative Aptitude Tests For Competitive ExaminationsQuestions Of  Quantitative Aptitude Tests For Competitive Examinations
Questions Of Quantitative Aptitude Tests For Competitive ExaminationsDr. Trilok Kumar Jain
 
Questions Of Quantitative Aptitude Tests For Competitive Examinations
Questions Of Quantitative Aptitude Tests For Competitive ExaminationsQuestions Of Quantitative Aptitude Tests For Competitive Examinations
Questions Of Quantitative Aptitude Tests For Competitive ExaminationsDr. Trilok Kumar Jain
 
Questions Of Quantitative Aptitude Tests For Competitive Examinations
Questions Of Quantitative Aptitude Tests For Competitive ExaminationsQuestions Of Quantitative Aptitude Tests For Competitive Examinations
Questions Of Quantitative Aptitude Tests For Competitive Examinations
Dr. Trilok Kumar Jain
 

Similar to DATA HANDLING CLASS 7.pdf (20)

Statistics for math (English Version)
Statistics for math (English Version)Statistics for math (English Version)
Statistics for math (English Version)
 
Measures of Central Tendency of Ungroup Data-Demo.pptx
Measures of Central Tendency of Ungroup Data-Demo.pptxMeasures of Central Tendency of Ungroup Data-Demo.pptx
Measures of Central Tendency of Ungroup Data-Demo.pptx
 
statistics 10th (1) (3).pdf
statistics 10th (1) (3).pdfstatistics 10th (1) (3).pdf
statistics 10th (1) (3).pdf
 
Mean of grouped data.docx
Mean of grouped data.docxMean of grouped data.docx
Mean of grouped data.docx
 
Central Tendency.pptx
Central Tendency.pptxCentral Tendency.pptx
Central Tendency.pptx
 
Introduction-to-Analyzing-Statistical-Data.pdf
Introduction-to-Analyzing-Statistical-Data.pdfIntroduction-to-Analyzing-Statistical-Data.pdf
Introduction-to-Analyzing-Statistical-Data.pdf
 
Mean Mode Median.docx
Mean Mode Median.docxMean Mode Median.docx
Mean Mode Median.docx
 
Statistics " Measurements of central location chapter 2"
Statistics " Measurements of central location chapter 2"Statistics " Measurements of central location chapter 2"
Statistics " Measurements of central location chapter 2"
 
Edward diaz bse math3a
Edward diaz bse   math3aEdward diaz bse   math3a
Edward diaz bse math3a
 
Module 3 statistics
Module 3   statisticsModule 3   statistics
Module 3 statistics
 
Frequency distribution, central tendency, measures of dispersion
Frequency distribution, central tendency, measures of dispersionFrequency distribution, central tendency, measures of dispersion
Frequency distribution, central tendency, measures of dispersion
 
Statistics Methods and Probability Presentation - Math 201.pptx
Statistics Methods and Probability Presentation - Math 201.pptxStatistics Methods and Probability Presentation - Math 201.pptx
Statistics Methods and Probability Presentation - Math 201.pptx
 
Determining measures of central tendency for grouped data
Determining measures of central tendency for grouped dataDetermining measures of central tendency for grouped data
Determining measures of central tendency for grouped data
 
Determining measures of central tendency for grouped data
Determining measures of central tendency for grouped dataDetermining measures of central tendency for grouped data
Determining measures of central tendency for grouped data
 
data handling class 8
data handling class 8data handling class 8
data handling class 8
 
Questions Of Quantitative Aptitude Tests For Competitive Examinations
Questions Of Quantitative Aptitude Tests For Competitive ExaminationsQuestions Of Quantitative Aptitude Tests For Competitive Examinations
Questions Of Quantitative Aptitude Tests For Competitive Examinations
 
Questions of quantitative aptitude tests for competitive examinations
Questions of quantitative aptitude tests for competitive examinations Questions of quantitative aptitude tests for competitive examinations
Questions of quantitative aptitude tests for competitive examinations
 
Questions Of Quantitative Aptitude Tests For Competitive Examinations
Questions Of  Quantitative Aptitude Tests For Competitive ExaminationsQuestions Of  Quantitative Aptitude Tests For Competitive Examinations
Questions Of Quantitative Aptitude Tests For Competitive Examinations
 
Questions Of Quantitative Aptitude Tests For Competitive Examinations
Questions Of Quantitative Aptitude Tests For Competitive ExaminationsQuestions Of Quantitative Aptitude Tests For Competitive Examinations
Questions Of Quantitative Aptitude Tests For Competitive Examinations
 
Questions Of Quantitative Aptitude Tests For Competitive Examinations
Questions Of Quantitative Aptitude Tests For Competitive ExaminationsQuestions Of Quantitative Aptitude Tests For Competitive Examinations
Questions Of Quantitative Aptitude Tests For Competitive Examinations
 

More from Dhanvir Singh Landa

Adition and Subtraction of fractions.pdf
Adition and Subtraction of fractions.pdfAdition and Subtraction of fractions.pdf
Adition and Subtraction of fractions.pdf
Dhanvir Singh Landa
 
PPT ON RESPIRATION .pdf
 PPT ON RESPIRATION .pdf PPT ON RESPIRATION .pdf
PPT ON RESPIRATION .pdf
Dhanvir Singh Landa
 
VII SST A SHIRT IN THE MARKET.pdf
 VII SST A SHIRT IN THE MARKET.pdf VII SST A SHIRT IN THE MARKET.pdf
VII SST A SHIRT IN THE MARKET.pdf
Dhanvir Singh Landa
 
vakya bhed part 2 (rachna ke adhar par).pdf
vakya bhed part 2 (rachna ke adhar par).pdfvakya bhed part 2 (rachna ke adhar par).pdf
vakya bhed part 2 (rachna ke adhar par).pdf
Dhanvir Singh Landa
 
7.Congruence of Triangles.pdf
7.Congruence of Triangles.pdf7.Congruence of Triangles.pdf
7.Congruence of Triangles.pdf
Dhanvir Singh Landa
 
Area and Perimeter.pdf
Area and Perimeter.pdfArea and Perimeter.pdf
Area and Perimeter.pdf
Dhanvir Singh Landa
 
CROP- RICE pdf
CROP- RICE pdfCROP- RICE pdf
CROP- RICE pdf
Dhanvir Singh Landa
 
EK TINKA-PPT CLASS 7.pdf
EK TINKA-PPT CLASS 7.pdfEK TINKA-PPT CLASS 7.pdf
EK TINKA-PPT CLASS 7.pdf
Dhanvir Singh Landa
 
CLASS 8 CHAPTER 1 PPT
CLASS 8 CHAPTER 1 PPTCLASS 8 CHAPTER 1 PPT
CLASS 8 CHAPTER 1 PPT
Dhanvir Singh Landa
 

More from Dhanvir Singh Landa (9)

Adition and Subtraction of fractions.pdf
Adition and Subtraction of fractions.pdfAdition and Subtraction of fractions.pdf
Adition and Subtraction of fractions.pdf
 
PPT ON RESPIRATION .pdf
 PPT ON RESPIRATION .pdf PPT ON RESPIRATION .pdf
PPT ON RESPIRATION .pdf
 
VII SST A SHIRT IN THE MARKET.pdf
 VII SST A SHIRT IN THE MARKET.pdf VII SST A SHIRT IN THE MARKET.pdf
VII SST A SHIRT IN THE MARKET.pdf
 
vakya bhed part 2 (rachna ke adhar par).pdf
vakya bhed part 2 (rachna ke adhar par).pdfvakya bhed part 2 (rachna ke adhar par).pdf
vakya bhed part 2 (rachna ke adhar par).pdf
 
7.Congruence of Triangles.pdf
7.Congruence of Triangles.pdf7.Congruence of Triangles.pdf
7.Congruence of Triangles.pdf
 
Area and Perimeter.pdf
Area and Perimeter.pdfArea and Perimeter.pdf
Area and Perimeter.pdf
 
CROP- RICE pdf
CROP- RICE pdfCROP- RICE pdf
CROP- RICE pdf
 
EK TINKA-PPT CLASS 7.pdf
EK TINKA-PPT CLASS 7.pdfEK TINKA-PPT CLASS 7.pdf
EK TINKA-PPT CLASS 7.pdf
 
CLASS 8 CHAPTER 1 PPT
CLASS 8 CHAPTER 1 PPTCLASS 8 CHAPTER 1 PPT
CLASS 8 CHAPTER 1 PPT
 

Recently uploaded

The basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptxThe basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptx
heathfieldcps1
 
Lapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdfLapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdf
Jean Carlos Nunes Paixão
 
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
siemaillard
 
2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...
Sandy Millin
 
Unit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdfUnit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdf
Thiyagu K
 
The Accursed House by Émile Gaboriau.pptx
The Accursed House by Émile Gaboriau.pptxThe Accursed House by Émile Gaboriau.pptx
The Accursed House by Émile Gaboriau.pptx
DhatriParmar
 
Language Across the Curriculm LAC B.Ed.
Language Across the  Curriculm LAC B.Ed.Language Across the  Curriculm LAC B.Ed.
Language Across the Curriculm LAC B.Ed.
Atul Kumar Singh
 
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
EugeneSaldivar
 
The Roman Empire A Historical Colossus.pdf
The Roman Empire A Historical Colossus.pdfThe Roman Empire A Historical Colossus.pdf
The Roman Empire A Historical Colossus.pdf
kaushalkr1407
 
The French Revolution Class 9 Study Material pdf free download
The French Revolution Class 9 Study Material pdf free downloadThe French Revolution Class 9 Study Material pdf free download
The French Revolution Class 9 Study Material pdf free download
Vivekanand Anglo Vedic Academy
 
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdfUnit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Thiyagu K
 
Additional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdfAdditional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdf
joachimlavalley1
 
How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17
Celine George
 
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCECLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
BhavyaRajput3
 
Thesis Statement for students diagnonsed withADHD.ppt
Thesis Statement for students diagnonsed withADHD.pptThesis Statement for students diagnonsed withADHD.ppt
Thesis Statement for students diagnonsed withADHD.ppt
EverAndrsGuerraGuerr
 
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup   New Member Orientation and Q&A (May 2024).pdfWelcome to TechSoup   New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
TechSoup
 
Acetabularia Information For Class 9 .docx
Acetabularia Information For Class 9  .docxAcetabularia Information For Class 9  .docx
Acetabularia Information For Class 9 .docx
vaibhavrinwa19
 
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdfAdversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Po-Chuan Chen
 
The approach at University of Liverpool.pptx
The approach at University of Liverpool.pptxThe approach at University of Liverpool.pptx
The approach at University of Liverpool.pptx
Jisc
 
Honest Reviews of Tim Han LMA Course Program.pptx
Honest Reviews of Tim Han LMA Course Program.pptxHonest Reviews of Tim Han LMA Course Program.pptx
Honest Reviews of Tim Han LMA Course Program.pptx
timhan337
 

Recently uploaded (20)

The basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptxThe basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptx
 
Lapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdfLapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdf
 
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
 
2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...
 
Unit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdfUnit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdf
 
The Accursed House by Émile Gaboriau.pptx
The Accursed House by Émile Gaboriau.pptxThe Accursed House by Émile Gaboriau.pptx
The Accursed House by Émile Gaboriau.pptx
 
Language Across the Curriculm LAC B.Ed.
Language Across the  Curriculm LAC B.Ed.Language Across the  Curriculm LAC B.Ed.
Language Across the Curriculm LAC B.Ed.
 
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
 
The Roman Empire A Historical Colossus.pdf
The Roman Empire A Historical Colossus.pdfThe Roman Empire A Historical Colossus.pdf
The Roman Empire A Historical Colossus.pdf
 
The French Revolution Class 9 Study Material pdf free download
The French Revolution Class 9 Study Material pdf free downloadThe French Revolution Class 9 Study Material pdf free download
The French Revolution Class 9 Study Material pdf free download
 
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdfUnit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdf
 
Additional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdfAdditional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdf
 
How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17
 
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCECLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
 
Thesis Statement for students diagnonsed withADHD.ppt
Thesis Statement for students diagnonsed withADHD.pptThesis Statement for students diagnonsed withADHD.ppt
Thesis Statement for students diagnonsed withADHD.ppt
 
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup   New Member Orientation and Q&A (May 2024).pdfWelcome to TechSoup   New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
 
Acetabularia Information For Class 9 .docx
Acetabularia Information For Class 9  .docxAcetabularia Information For Class 9  .docx
Acetabularia Information For Class 9 .docx
 
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdfAdversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
 
The approach at University of Liverpool.pptx
The approach at University of Liverpool.pptxThe approach at University of Liverpool.pptx
The approach at University of Liverpool.pptx
 
Honest Reviews of Tim Han LMA Course Program.pptx
Honest Reviews of Tim Han LMA Course Program.pptxHonest Reviews of Tim Han LMA Course Program.pptx
Honest Reviews of Tim Han LMA Course Program.pptx
 

DATA HANDLING CLASS 7.pdf

  • 2. DATA u Any raw information which we collect to know about it and to compare certain things is called Data. This information is in the form of facts and figures and is collected for some specific purpose. u Example Number of students in the class The temperature in a state on daily basis.
  • 3. u Data Handling u We need to collect, organize and represent that data to draw inferences from it. This is called Data Handling. u Collecting Data u Collection of data depends upon the further requirement of the data. Before collecting any data we must know that what will be the use of data. u If we have to compare the marks of the toppers in different classes then we need the data of all the classes not only one class having any topper.
  • 4. Organization of Data u Before using any data, first, we need to organize it in a systematic manner so that it could be understood easily. Generally, data is organized in tabular form as it is easy to read and understand.
  • 5. Representative Values There must be a particular value which represents the complete data. This is the average of the data. The average lies between the smallest and the largest number of data so it is called Central tendency of the group of data. There are three types of central tendency of data-
  • 6. 1. Arithmetic Mean The mean is the average of the number of observations. To calculate mean we have to divide the sum of the values of the observations by the total number of observations.
  • 7. Example Q1. The score of 8 students in science is given. Find the average score of the students. 25, 28, 23, 24, 29, 35, 42, 48 u Solution u Remark: This is not necessary that the value of mean will be from one of the observations.
  • 8. RANGE u Arithmetic mean lies between the smallest and the largest observation. A range is a difference between the largest and the smallest observation. u Range = Largest Observation – Smallest Observation u Example u If the age of the students in a class is given then what will be the range of the given students?
  • 10. EXERCISE -3.1 u Solution 1: Let us have the heights of 10 students are as follows: 140 cm, 141.5 cm, 138 cm, 150 cm, 161 cm, 138 cm, 140.5 cm, 135.5 cm, 160 cm, 158 cm Here, minimum height = 135.5 cm Maximum height =161 cm ∴ Range = Maximum height – Minimum height = 161 cm — 135.5 cm = 25.5 cm Hence, the required range = 25.5 cm.
  • 11. EXERCISE -3.1 u Solution 2: u Let us form a frequency distribution table: u (i) 9 is the highest marks. u (ii) 1 is the lowest marks. u (iii) Range = Max. marks – Min. marks u = 9 – 1 = 8 u (iv) Arithmetic mean = !"" #" = 5 u Solution 3: u First 5 whole numbers are 0, 1, 2, 3, 4 u ∴ Mean = !"#"$"%"& ' = #! ' =2 u Hence, the required mean = 2.
  • 12. EXERCISE -3.1 u Solution 4: u Following are the scores of the runs in eight innings: u 58, 76, 40, 35, 46, 45, 0, 100
  • 20. Mode u The mode of a set of observations is the observation that occurs most often. Example: Given set of numbers: 1, 1, 2, 4, 3, 2, 1, 2, 2, 4 Ascending Order = 1, 1, 1, 2, 2, 2, 2, 3, 4, 4 ∴ Mode of this data is 2 because it occurs more frequently. Note: A data can have more than 1 mode.
  • 21. MEDIAN u When a given data is arranged in ascending (or descending) order, then the middlemost observation is called the median of the data. u Example : Marks scored by seven students in a class are: 21, 32, 18 ,93, 21, 36, 50. Observations in ascending order: 18, 21, 21, 32, 36, 50, 93. Middle most value = 32 ∴ Median is 32.
  • 22.
  • 23. CHECK YOUR ANSWER 1 u Solution:- u Arranging the given scores in an ascending order, we get u 5, 9, 10, 12, 15, 16, 19, 20, 20, 20, 20, 23, 24, 25, 25 u Mode, u Mode is the value of the variable which occurs most frequently. u Clearly, 20 occurs maximum number of times. u Hence, mode of the given sores is 20 u Median, u The value of the middle-most observation is called the median of the data. u Here n = 15, which is odd. u Where, n is the number of the students. u ∴median = value of ½ (n + 1)th observation. u = ½ (15 + 1) u = ½ (16) u = 16/2 u = 8 u Then, value of 8th term = 20 u Hence, the median is 20. u Yes, both the values are same.
  • 24. CHECK YOUR ANSWER 2 u Solution:- u Arranging the runs scored in a cricket match by 11 players in an ascending order, we get u 6, 8, 10, 10, 15, 15, 15, 50, 80, 100, 120 u Mean, u Mean of the given data = Sum of all observations/ Total number of observations u = (6 + 8 + 10 + 10 + 15 + 15 + 15 + 50 + 80 + 100 + 120)/ 11 u = 429/11 u = 39 u Mode, u Mode is the value of the variable which occurs most frequently. u Clearly, 15 occurs maximum number of times. u Hence, mode of the given sores is 15 u Median, u The value of the middle-most observation is called the median of the data. u Here n = 11, which is odd. u Where, n is the number of players. u ∴median = value of ½ (n + 1)th observation. u = ½ (11 + 1) u = ½ (12) u = 12/2 u = 6 u Then, value of 6th term = 15 u Hence, the median is 15. u No, these three are not same.
  • 25. CHECK YOUR ANSWER 3 u Solution:- u Arranging the given weights 15 students of a class in an ascending order, we get u 32, 35, 36, 37, 38, 38, 38, 40, 42, 43, 43, 43, 45, 47, 50 u (i) Mode and Median u Mode, u Mode is the value of the variable which occurs most frequently. u Clearly, 38 and 43 both occurs 3 times. u Hence, mode of the given weights are 38 and 43. u Median, u The value of the middle-most observation is called the median of the data. u Here n = 15, which is odd. u Where, n is the number of the students. u ∴median = value of ½ (n + 1)th observation. u = ½ (15 + 1) u = ½ (16) u = 16/2 u = 8 u Then, value of 8th term = 40 u Hence, the median is 40. u (ii) Yes, there are 2 modes for the given weights of the students.
  • 26. CHECK YOUR ANSWER 4 u Arranging the given data in an ascending order, we get u = 12, 12, 13, 13, 14, 14, 14, 16, 19 u Mode, u Mode is the value of the variable which occurs most frequently. u Clearly, 14 occurs maximum number of times. u Hence, mode of the given data is 14. u Median, u The value of the middle-most observation is called the median of the data. u Here n = 9, which is odd. u Where, n is the number of the students. u ∴median = value of ½ (9 + 1)th observation. u = ½ (9 + 1) u = ½ (10) u = 10/2 u = 5 u Then, value of 5th term = 14 u Hence, the median is 14.
  • 27. CHECK YOUR ANSWER 5 u (i) The mode is always one of the numbers in a data. u Solution:- u The statement is given above is true. u Because, Mode is the value of the variable which occurs most frequently in the given data. u Hence, mode is always one of the numbers in a data. u (ii) The mean is one of the numbers in a data. u Solution:- u The statement is given above is false. u Because, mean is may be or may not be one of the number in a data. u (iii) The median is always one of the numbers in a data. u Solution:- u The statement is given above is true. u Because, median is the value of the middle-most observation in the given data while arranged in ascending or descending order. u Hence, median is always one of the numbers in a data u (iv) The data 6, 4, 3, 8, 9, 12, 13, 9 has mean 9. u Solution:- u Mean = Sum of all given observations/ number of observations u = (6 + 4 + 3 + 8 + 9 + 12 + 13 + 9)/8 u = (64/8) u = 8 u Hence, the given statement is false.
  • 28.
  • 29.
  • 30. CHECK YOUR ANSWER 1 u Solution:- u The bar graph represents the pets owned by the students. u (a) From bar graph, the most popular pet is Cat. It is owned by the 10 students out of 12 students. u (b) From the bar graph, 8 students have dog as a pet out of 12 students.
  • 31. CHECK YOUR ANSWER 2 u (i) By observing bar graph, u 175 books were sold in the year 1989. u 475 books were sold in the year 1990. u 225 books were sold in the year 1992. u (ii) By observing bar graph, u 475 books were sold in the year 1990. u 225 books were sold in the year 1992. u (iii) By observing bar graph, u In the years 1989 and 1992, the number of books sold were less than 250. u (iv) By observing the bar graph, we can conclude that, u The number of books sold in the year 1989 is about 1 and ¾th part of 1 cm. u WKT, Scale is taken as 1 cm = 100 books u = 100 + (¾ × 100) u = 100 + (3 × 25) u = 100 + 75 u = 175
  • 32. CHECK YOUR ANSWER 3 (a)We will take the scale as 1 unit = 10 children. Because, we can represent a better and clear difference among the number of students of class 7th and class 9th. (b) (i) Class 5th has the maximum number of children i.e. 135 and class 7th has the minimum number of children i.e. 95. (ii) The total number of students in class 6th is 120 and the total number of students in class 8th is 100 Then, Ratio between the number of students of class 6th and 8th, = (120/100) = 6/5 = 6: 5
  • 33.
  • 34. CHECK YOUR ANSWER 4 (i) By observing the double bar graph, there was a maximum marks increase in the Maths subject. So, the child has improved his performance in Maths. (ii) By observing the double bar graph, the improvement was the least in S. Science. (iii) By observing the double bar graph, the performance in Hindi has gone down.
  • 35. CHECK YOUR ANSWER 5 (i) The fig above is the double bar graph. Which represents the people who prefer either watching or participating in different sports. By observing the double bar graph, we came to conclude that most of the people like watching and participating cricket while least number of people like watching and participating in Athletics. (ii) By observing the double bar graph, we came to conclude that the people who like watching and participating in cricket is the tallest among all the bars. So, cricket is the most popular sport. (iii) By observing the double bar graph, we came to conclude that watching sports has more preference, rather than participating in sports.
  • 36. u 6. Take the data giving the minimum and the maximum temperature of various cities given in the beginning of this chapter (Table 3.1). Plot a double bar graph using the data and answer the following: u (i) Which city has the largest difference in the minimum and maximum temperature on the given date? u (ii) Which is the hottest city and which is the coldest city? u (iii) Name two cities where maximum temperature of one was less than the minimum temperature of the other. u (iv) Name the city which has the least difference between its minimum and the maximum temperature.
  • 38. CHECK YOUR ANSWER 6 u (i) By observing the double bar graph, we came to conclude that Jammu has the largest difference in the minimum and maximum temperature on 20.6.2006. u (ii) By observing the double bar graph, we came to conclude that Jammu is the hottest city and Bangalore is the coldest city. u (iii) By observing the double bar graph, Bangalore and Jaipur, Bangalore and Ahmedabad. For Bangalore, the maximum temperature was 28oC, while minimum temperature of both Ahmadabad and Jaipur was 29oC. u (iv) By observing the double bar graph, Mumbai has the least difference between its minimum and the maximum temperature.
  • 39.
  • 40.
  • 41. CHECK YOUR ANSWER 1 u (i) You are older today than yesterday. u Solution:- u It is certain to happen. u (ii) A tossed coin will land heads up. u Solution:- u It can happen but not certain. u (iii) A die when tossed shall land up with 8 on top. u Solution:- u It is impossible. Because, there are only six faces on a die is marked as 1, 2, 3, 4, 5, and 6 on it. u (iv) The next traffic light seen will be green. u Solution:- u It can happen but not certain. u (v) Tomorrow will be a cloudy day. u Solution:- u It can happen but not certain.
  • 42. CHECK YOUR ANSWER 2 u (i) What is the probability of drawing a marble with number 2? u Solution:- u From the question, it is given that u There are 6 marbles in the box with numbers from 1 to 6 are marked. u Probability of drawing a marble with number 2 = Number of favourable outcomes/ u Number of possible outcomes u = (1/6) u (ii) What is the probability of drawing a marble with number 5? u Solution:- u From the question, it is given that u There are 6 marbles in the box with numbers from 1 to 6 are marked. u Probability of drawing a marble with number 5 = Number of favourable outcomes/ u Number of possible outcomes u = (1/6)
  • 43. CHECK YOUR ANSWER 3 u A coin has two faces one is Head and other one is Tail. u Now, one team can choose either Head or Tail. u Probability of our team starts first= Number of favourable outcomes/ u Number of possible outcomes u = ½