SlideShare ist ein Scribd-Unternehmen logo
1 von 13
Stuti Ranjan
XI-D
“Statistics is the science that deals with the
method of collecting, classifying,
presenting, comparing ,and interpreting
numerical data collected to throw some
light on any sphere of enquiry.”
-Seligman
Collection
of data
Organisatio
n of data
Presentation
of data
Analysis
of data
Interpretatio
n of data
Stage 1 Stage 2 Stage 3 Stage 4
Stage 5
Each stage of statistical study involves the use
of certain techniques or methods
Stages Statistical study Statistical tools
Stage 1 Collection of data Census or
sample method
Stage 2 Organisation of
data
Tally bars
Stage 3 Presentation of
data
Tables, graphs
and polygons,
histograms etc
Stage 4 Analysis of data Percentages
,Averages
Stage 5 Interpretation of
data
Magnitude of
percentages
 Graphic representation gives a visual effect.
Its used in research work for visual
presentation and analysis of data. The
graphic method enables us to present data in
a simple, clear and effective manner
 There are many varieties of graphs .Broadly
graphs can be divided into two parts:
a) Graphs of frequency distribution
b) Graphs of time series
 Histogram is joining rectangular diagram of a continuous
series in which each rectangle represents the class interval
with the frequency .It is a two-dimensional diagram and also
called frequency histogram.
Cases of constructing a hisogram
i. Histogram of equal class interval
ii. Histogram when mid points are give
iii. Histogram when unequal class intervals
Scores(mid
points)
Frequency
5
15
25
35
45
2
5
7
10
4
Ascertainment of lower and upper
limits :
Get the difference between the first
and the second mid point .
Divide it by 2 to get the intervals and
then draw the histogram.
Before presenting the data in the form of
graphs and frequencies , unequal class
intervals are adjusted.
Adjustment factor=class interval of
concerned class divided by lowest class
interval
Marks No of
students
Adjustment
factor
Frequency
density
30-50
50-60
60-70
70-90
90-100
48
30
20
28
16
20/10=2
10/10=1
10/10=1
20/10=2
10/10=1
48/2=24
30/1=30
20/1=20
28/2=14
16/1=16
 Polygon is another form of diagrammatic presentation
of data .
 It is formed by joining all the mid points of the tops of
all rectangles .however they can be formed even
without constructing a histogram.
 Frequency polygons can be drawn in two ways:
i. With a histogram
ii. Without a histogram
Class limits No of sareees
100-200
200-300
300-400
400-500
500-600
600-700
700-800
10
27
37
24
20
15
10
The total area excluded from the
histogram is equal to the area
included under frequency polygon
Mid points Frequency
55
65
75
85
95
1
4
6
5
2
THANK YOU

Weitere ähnliche Inhalte

Was ist angesagt?

coefficient correlation
 coefficient correlation coefficient correlation
coefficient correlationirshad narejo
 
Bar Diagram (chart) in Statistics presentation
Bar Diagram (chart) in Statistics presentationBar Diagram (chart) in Statistics presentation
Bar Diagram (chart) in Statistics presentationsheiblu
 
Measures of central tendency
Measures of central tendencyMeasures of central tendency
Measures of central tendencyAlex Chris
 
Graphical representation of data mohit verma
Graphical representation of data mohit verma Graphical representation of data mohit verma
Graphical representation of data mohit verma MOHIT KUMAR VERMA
 
Graphical Representation of Statistical data
Graphical Representation of Statistical dataGraphical Representation of Statistical data
Graphical Representation of Statistical dataMD SAMSER
 
Frequency distribution
Frequency distributionFrequency distribution
Frequency distributionAishwarya PT
 
Measure OF Central Tendency
Measure OF Central TendencyMeasure OF Central Tendency
Measure OF Central TendencyIqrabutt038
 
General Statistics boa
General Statistics boaGeneral Statistics boa
General Statistics boaraileeanne
 
Measures of dispersion
Measures of dispersionMeasures of dispersion
Measures of dispersionSachin Shekde
 
Basic Mean median mode Standard Deviation
Basic Mean median mode Standard DeviationBasic Mean median mode Standard Deviation
Basic Mean median mode Standard DeviationJovendin Leonardo
 
Statistics-Measures of dispersions
Statistics-Measures of dispersionsStatistics-Measures of dispersions
Statistics-Measures of dispersionsCapricorn
 
quartile deviation: An introduction
quartile deviation: An introductionquartile deviation: An introduction
quartile deviation: An introductionDr Rajesh Verma
 

Was ist angesagt? (20)

coefficient correlation
 coefficient correlation coefficient correlation
coefficient correlation
 
Tabulation of data
Tabulation of dataTabulation of data
Tabulation of data
 
Bar Diagram (chart) in Statistics presentation
Bar Diagram (chart) in Statistics presentationBar Diagram (chart) in Statistics presentation
Bar Diagram (chart) in Statistics presentation
 
Measures of central tendency
Measures of central tendencyMeasures of central tendency
Measures of central tendency
 
Graphical representation of data mohit verma
Graphical representation of data mohit verma Graphical representation of data mohit verma
Graphical representation of data mohit verma
 
Graphical Representation of Statistical data
Graphical Representation of Statistical dataGraphical Representation of Statistical data
Graphical Representation of Statistical data
 
Data organization
Data organizationData organization
Data organization
 
Frequency distribution
Frequency distributionFrequency distribution
Frequency distribution
 
{ANOVA} PPT-1.pptx
{ANOVA} PPT-1.pptx{ANOVA} PPT-1.pptx
{ANOVA} PPT-1.pptx
 
Measure OF Central Tendency
Measure OF Central TendencyMeasure OF Central Tendency
Measure OF Central Tendency
 
General Statistics boa
General Statistics boaGeneral Statistics boa
General Statistics boa
 
Standard deviation
Standard deviationStandard deviation
Standard deviation
 
Measures of dispersion
Measures of dispersionMeasures of dispersion
Measures of dispersion
 
Statistics
StatisticsStatistics
Statistics
 
Basic Mean median mode Standard Deviation
Basic Mean median mode Standard DeviationBasic Mean median mode Standard Deviation
Basic Mean median mode Standard Deviation
 
Histogram
HistogramHistogram
Histogram
 
Pie Chart
Pie  ChartPie  Chart
Pie Chart
 
Statistics-Measures of dispersions
Statistics-Measures of dispersionsStatistics-Measures of dispersions
Statistics-Measures of dispersions
 
quartile deviation: An introduction
quartile deviation: An introductionquartile deviation: An introduction
quartile deviation: An introduction
 
Rank correlation
Rank correlationRank correlation
Rank correlation
 

Andere mochten auch

Histograms, frequency polygons, and ogives
Histograms, frequency polygons, and ogivesHistograms, frequency polygons, and ogives
Histograms, frequency polygons, and ogivesTom Thand
 
Drawing Frequency Histogram Polygon
Drawing Frequency Histogram PolygonDrawing Frequency Histogram Polygon
Drawing Frequency Histogram PolygonMoonie Kim
 
Lecture 15 monkey banana problem
Lecture 15 monkey banana problemLecture 15 monkey banana problem
Lecture 15 monkey banana problemHema Kashyap
 
Features of gaussian distribution curve
Features of gaussian distribution curveFeatures of gaussian distribution curve
Features of gaussian distribution curvefarzeen javaid
 
Normal Distribution
Normal DistributionNormal Distribution
Normal Distributionmathscontent
 
Interpretation of cbc 3
Interpretation of cbc 3Interpretation of cbc 3
Interpretation of cbc 3Rakesh Verma
 
Normal distribution
Normal distributionNormal distribution
Normal distributionAnanya Jain
 
Normal Distribution Presentation
Normal Distribution PresentationNormal Distribution Presentation
Normal Distribution Presentationsankarshanjoshi
 
2.3 Histogram/Frequency Polygon/Ogives
2.3 Histogram/Frequency Polygon/Ogives2.3 Histogram/Frequency Polygon/Ogives
2.3 Histogram/Frequency Polygon/Ogivesmlong24
 
Cause and effect diagram
Cause and effect diagramCause and effect diagram
Cause and effect diagramLizzette Danan
 
administrating test,scoring,grading vs marks
administrating test,scoring,grading vs marksadministrating test,scoring,grading vs marks
administrating test,scoring,grading vs markskrishu29
 
Monkey & banana problem in AI
Monkey & banana problem in AIMonkey & banana problem in AI
Monkey & banana problem in AIManjeet Kamboj
 
Describing and Interpreting Test Scores: Frequency Distribution to Measures o...
Describing and Interpreting Test Scores: Frequency Distribution to Measures o...Describing and Interpreting Test Scores: Frequency Distribution to Measures o...
Describing and Interpreting Test Scores: Frequency Distribution to Measures o...Mr. Ronald Quileste, PhD
 

Andere mochten auch (20)

Histograms, frequency polygons, and ogives
Histograms, frequency polygons, and ogivesHistograms, frequency polygons, and ogives
Histograms, frequency polygons, and ogives
 
Histogram
HistogramHistogram
Histogram
 
Histogram
HistogramHistogram
Histogram
 
Drawing Frequency Histogram Polygon
Drawing Frequency Histogram PolygonDrawing Frequency Histogram Polygon
Drawing Frequency Histogram Polygon
 
Histograms explained
Histograms explainedHistograms explained
Histograms explained
 
Lecture 15 monkey banana problem
Lecture 15 monkey banana problemLecture 15 monkey banana problem
Lecture 15 monkey banana problem
 
Features of gaussian distribution curve
Features of gaussian distribution curveFeatures of gaussian distribution curve
Features of gaussian distribution curve
 
Pie chart
Pie chartPie chart
Pie chart
 
Normal Distribution
Normal DistributionNormal Distribution
Normal Distribution
 
Interpretation of cbc 3
Interpretation of cbc 3Interpretation of cbc 3
Interpretation of cbc 3
 
Normal distribution
Normal distributionNormal distribution
Normal distribution
 
Normal Distribution Presentation
Normal Distribution PresentationNormal Distribution Presentation
Normal Distribution Presentation
 
C & E matrix
C & E matrixC & E matrix
C & E matrix
 
2.3 Histogram/Frequency Polygon/Ogives
2.3 Histogram/Frequency Polygon/Ogives2.3 Histogram/Frequency Polygon/Ogives
2.3 Histogram/Frequency Polygon/Ogives
 
Cause and effect diagram
Cause and effect diagramCause and effect diagram
Cause and effect diagram
 
administrating test,scoring,grading vs marks
administrating test,scoring,grading vs marksadministrating test,scoring,grading vs marks
administrating test,scoring,grading vs marks
 
Monkey & banana problem in AI
Monkey & banana problem in AIMonkey & banana problem in AI
Monkey & banana problem in AI
 
Variability
VariabilityVariability
Variability
 
Describing and Interpreting Test Scores: Frequency Distribution to Measures o...
Describing and Interpreting Test Scores: Frequency Distribution to Measures o...Describing and Interpreting Test Scores: Frequency Distribution to Measures o...
Describing and Interpreting Test Scores: Frequency Distribution to Measures o...
 
Measures of Variability
Measures of VariabilityMeasures of Variability
Measures of Variability
 

Ähnlich wie Histograms and polygons

Ähnlich wie Histograms and polygons (20)

Ch 3 DATA.doc
Ch 3 DATA.docCh 3 DATA.doc
Ch 3 DATA.doc
 
lesson-data-presentation-tools-1.pptx
lesson-data-presentation-tools-1.pptxlesson-data-presentation-tools-1.pptx
lesson-data-presentation-tools-1.pptx
 
Statistics
StatisticsStatistics
Statistics
 
Tabular and Graphical Representation of Data
Tabular and Graphical Representation of Data Tabular and Graphical Representation of Data
Tabular and Graphical Representation of Data
 
Chapter 4 MMW.pdf
Chapter 4 MMW.pdfChapter 4 MMW.pdf
Chapter 4 MMW.pdf
 
Unit 1 - Statistics (Part 1).pptx
Unit 1 - Statistics (Part 1).pptxUnit 1 - Statistics (Part 1).pptx
Unit 1 - Statistics (Part 1).pptx
 
An Introduction to Statistics
An Introduction to StatisticsAn Introduction to Statistics
An Introduction to Statistics
 
W1002 MATHS ASSIGNMENT, BBA
W1002 MATHS ASSIGNMENT, BBAW1002 MATHS ASSIGNMENT, BBA
W1002 MATHS ASSIGNMENT, BBA
 
2-L2 Presentation of data.pptx
2-L2 Presentation of data.pptx2-L2 Presentation of data.pptx
2-L2 Presentation of data.pptx
 
Day2 session i&ii - spss
Day2 session i&ii - spssDay2 session i&ii - spss
Day2 session i&ii - spss
 
descriptive and inferential statistics
descriptive and inferential statisticsdescriptive and inferential statistics
descriptive and inferential statistics
 
Statistical Methods: Graphical Representation of Data
Statistical Methods: Graphical Representation of DataStatistical Methods: Graphical Representation of Data
Statistical Methods: Graphical Representation of Data
 
Charts and graphs
Charts and graphsCharts and graphs
Charts and graphs
 
Statistics
StatisticsStatistics
Statistics
 
03 ch ken black solution
03 ch ken black solution03 ch ken black solution
03 ch ken black solution
 
2.1 frequency distributions for organizing and summarizing data
2.1 frequency distributions for organizing and summarizing data2.1 frequency distributions for organizing and summarizing data
2.1 frequency distributions for organizing and summarizing data
 
NOTE STATISTIC BA301
NOTE STATISTIC BA301NOTE STATISTIC BA301
NOTE STATISTIC BA301
 
2 biostatistics presenting data
2  biostatistics presenting data2  biostatistics presenting data
2 biostatistics presenting data
 
Data handling
Data handlingData handling
Data handling
 
Biostatistics
Biostatistics Biostatistics
Biostatistics
 

Kürzlich hochgeladen

THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONTHEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONHumphrey A Beña
 
What is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPWhat is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPCeline George
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxiammrhaywood
 
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptxINTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptxHumphrey A Beña
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Celine George
 
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSGRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSJoshuaGantuangco2
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designMIPLM
 
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxBarangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxCarlos105
 
ICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdfICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdfVanessa Camilleri
 
Global Lehigh Strategic Initiatives (without descriptions)
Global Lehigh Strategic Initiatives (without descriptions)Global Lehigh Strategic Initiatives (without descriptions)
Global Lehigh Strategic Initiatives (without descriptions)cama23
 
Active Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdfActive Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdfPatidar M
 
Music 9 - 4th quarter - Vocal Music of the Romantic Period.pptx
Music 9 - 4th quarter - Vocal Music of the Romantic Period.pptxMusic 9 - 4th quarter - Vocal Music of the Romantic Period.pptx
Music 9 - 4th quarter - Vocal Music of the Romantic Period.pptxleah joy valeriano
 
Activity 2-unit 2-update 2024. English translation
Activity 2-unit 2-update 2024. English translationActivity 2-unit 2-update 2024. English translation
Activity 2-unit 2-update 2024. English translationRosabel UA
 
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptxQ4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptxlancelewisportillo
 
Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4JOYLYNSAMANIEGO
 
4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptx4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptxmary850239
 
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYKayeClaireEstoconing
 
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)lakshayb543
 

Kürzlich hochgeladen (20)

THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONTHEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
 
What is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPWhat is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERP
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
 
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptxLEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
 
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptxINTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17
 
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSGRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-design
 
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxBarangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
 
ICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdfICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdf
 
Global Lehigh Strategic Initiatives (without descriptions)
Global Lehigh Strategic Initiatives (without descriptions)Global Lehigh Strategic Initiatives (without descriptions)
Global Lehigh Strategic Initiatives (without descriptions)
 
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptxYOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
 
Active Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdfActive Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdf
 
Music 9 - 4th quarter - Vocal Music of the Romantic Period.pptx
Music 9 - 4th quarter - Vocal Music of the Romantic Period.pptxMusic 9 - 4th quarter - Vocal Music of the Romantic Period.pptx
Music 9 - 4th quarter - Vocal Music of the Romantic Period.pptx
 
Activity 2-unit 2-update 2024. English translation
Activity 2-unit 2-update 2024. English translationActivity 2-unit 2-update 2024. English translation
Activity 2-unit 2-update 2024. English translation
 
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptxQ4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
 
Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4
 
4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptx4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptx
 
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
 
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
 

Histograms and polygons

  • 2. “Statistics is the science that deals with the method of collecting, classifying, presenting, comparing ,and interpreting numerical data collected to throw some light on any sphere of enquiry.” -Seligman
  • 3. Collection of data Organisatio n of data Presentation of data Analysis of data Interpretatio n of data Stage 1 Stage 2 Stage 3 Stage 4 Stage 5
  • 4. Each stage of statistical study involves the use of certain techniques or methods Stages Statistical study Statistical tools Stage 1 Collection of data Census or sample method Stage 2 Organisation of data Tally bars Stage 3 Presentation of data Tables, graphs and polygons, histograms etc Stage 4 Analysis of data Percentages ,Averages Stage 5 Interpretation of data Magnitude of percentages
  • 5.  Graphic representation gives a visual effect. Its used in research work for visual presentation and analysis of data. The graphic method enables us to present data in a simple, clear and effective manner  There are many varieties of graphs .Broadly graphs can be divided into two parts: a) Graphs of frequency distribution b) Graphs of time series
  • 6.  Histogram is joining rectangular diagram of a continuous series in which each rectangle represents the class interval with the frequency .It is a two-dimensional diagram and also called frequency histogram. Cases of constructing a hisogram i. Histogram of equal class interval ii. Histogram when mid points are give iii. Histogram when unequal class intervals
  • 7.
  • 8. Scores(mid points) Frequency 5 15 25 35 45 2 5 7 10 4 Ascertainment of lower and upper limits : Get the difference between the first and the second mid point . Divide it by 2 to get the intervals and then draw the histogram.
  • 9. Before presenting the data in the form of graphs and frequencies , unequal class intervals are adjusted. Adjustment factor=class interval of concerned class divided by lowest class interval Marks No of students Adjustment factor Frequency density 30-50 50-60 60-70 70-90 90-100 48 30 20 28 16 20/10=2 10/10=1 10/10=1 20/10=2 10/10=1 48/2=24 30/1=30 20/1=20 28/2=14 16/1=16
  • 10.  Polygon is another form of diagrammatic presentation of data .  It is formed by joining all the mid points of the tops of all rectangles .however they can be formed even without constructing a histogram.  Frequency polygons can be drawn in two ways: i. With a histogram ii. Without a histogram
  • 11. Class limits No of sareees 100-200 200-300 300-400 400-500 500-600 600-700 700-800 10 27 37 24 20 15 10 The total area excluded from the histogram is equal to the area included under frequency polygon