SlideShare a Scribd company logo
1 of 8
Further Maths
Displaying Univariate Data



             K McMullen 2012
Displaying Univariate Data
 Frequency Table: Used to organise data so that it
 is more manageable.
    Frequency can either be counted or taken as a
    percentage
    A frequency table displays the data in a compact
    form and also tells us something about how the
    values are distributed




                                        K McMullen 2012
Displaying Univariate Data
 Bar charts: used to display categorical data or
 discrete numerical data
    The variable is usually plotted on the horizontal
    axis
    The frequency (or percentage frequency) is
    usually displayed on the vertical axis
    The bars of equal width and have equal spaces
    between them
    There is one bar for each category
    The height of the bar gives the frequency (or
    percentage frequency)

                                          K McMullen 2012
Displaying Univariate Data
 Segmented bar charts: a variation of the bar
 chart where the bars are stacked on top of one
 another to give a single bar with several
 components.
    The lengths of the segments is determined by the
    frequencies
    The height of the bar gives the total frequency (
    total in data set or 100% for percentage
    segmented bar charts)
    Should only be used for a relatively small number
    of components (5 maximum)
    Percentage segmented bar charts are more
    useful when comparing bivariate data (two
    variables)                              K McMullen 2012
Displaying Univariate Data

 Dot Plots: Used to display categorical data or
 discrete numerical data with the variable along
 the horizontal axis and each dot above it
 representing one piece of data
    Best used for small sets of data and when the
    data values are relatively close together (small
    range)




                                          K McMullen 2012
Displaying Univariate Data

 Stem plots: each value of the data set it split into
 two parts:
    Stem: derived from the first digit(s)
    Leaf: the last digit

    The data is displayed in order
    Always use a key indicating how to interpret the
    plot




                                            K McMullen 2012
Displaying Univariate Data
 Histograms: Used to display discrete and
 continuous numerical data and is better used for
 large data sets as data can be placed into
 intervals.
    The variable is usually plotted on the horizontal
    axis
    The frequency (or percentage frequency) is
    usually displayed on the vertical axis
    The height of the bar gives the frequency
    The bars have no spaces between them
    There is one bar for each class interval

                                          K McMullen 2012
Displaying Univariate Data
 Box plots: Used to display numerical data and is
 a graphical representation of the 5 number
 summary
    Displays the location, spread and general shape
    of a distribution
    Can be drawn either vertically or horizontally
    Must always include a scale and the components
    of the 5 number summary must be clearly labelled
    Parallel box plots are used when you are
    comparing different groups (eg. Study scores of
    males compared to females)

                                       K McMullen 2012

More Related Content

What's hot

Diowane2003
Diowane2003Diowane2003
Diowane2003SFYC
 
Histograms, frequency polygons, and ogives
Histograms, frequency polygons, and ogivesHistograms, frequency polygons, and ogives
Histograms, frequency polygons, and ogivesTom Thand
 
Introduction to statistics and graphical representation
Introduction to statistics and graphical representationIntroduction to statistics and graphical representation
Introduction to statistics and graphical representationAMNA BUTT
 
Graphs in pharmaceutical biostatistics
Graphs in pharmaceutical biostatisticsGraphs in pharmaceutical biostatistics
Graphs in pharmaceutical biostatisticsVandanaGupta127
 
Histograms and polygons
Histograms and polygonsHistograms and polygons
Histograms and polygonsshivang1999
 
Writing Figures, grap
Writing Figures, grapWriting Figures, grap
Writing Figures, grapjuvinmiscala
 
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
 
Presentation of Data
Presentation of DataPresentation of Data
Presentation of DataUmair Anwar
 
Basics of Educational Statistics (Graphs & its Types)
Basics of Educational Statistics (Graphs & its Types)Basics of Educational Statistics (Graphs & its Types)
Basics of Educational Statistics (Graphs & its Types)HennaAnsari
 
Different types of charts
Different types of chartsDifferent types of charts
Different types of chartsZakaria Salim
 
Lesson 26 presenting and interpreting data in tabular and graphical froms
Lesson 26 presenting and interpreting data in tabular and graphical fromsLesson 26 presenting and interpreting data in tabular and graphical froms
Lesson 26 presenting and interpreting data in tabular and graphical fromsmjlobetos
 

What's hot (16)

Statistical graphs
Statistical graphsStatistical graphs
Statistical graphs
 
Diowane2003
Diowane2003Diowane2003
Diowane2003
 
Histograms, frequency polygons, and ogives
Histograms, frequency polygons, and ogivesHistograms, frequency polygons, and ogives
Histograms, frequency polygons, and ogives
 
Introduction to statistics and graphical representation
Introduction to statistics and graphical representationIntroduction to statistics and graphical representation
Introduction to statistics and graphical representation
 
Presentation of data
Presentation of dataPresentation of data
Presentation of data
 
Graphs in pharmaceutical biostatistics
Graphs in pharmaceutical biostatisticsGraphs in pharmaceutical biostatistics
Graphs in pharmaceutical biostatistics
 
Histograms and polygons
Histograms and polygonsHistograms and polygons
Histograms and polygons
 
Writing Figures, grap
Writing Figures, grapWriting Figures, grap
Writing Figures, grap
 
Graphical representation of data mohit verma
Graphical representation of data mohit verma Graphical representation of data mohit verma
Graphical representation of data mohit verma
 
Tables and charts
Tables and chartsTables and charts
Tables and charts
 
Presentation of Data
Presentation of DataPresentation of Data
Presentation of Data
 
Basics of Educational Statistics (Graphs & its Types)
Basics of Educational Statistics (Graphs & its Types)Basics of Educational Statistics (Graphs & its Types)
Basics of Educational Statistics (Graphs & its Types)
 
Different types of charts
Different types of chartsDifferent types of charts
Different types of charts
 
Lesson 26 presenting and interpreting data in tabular and graphical froms
Lesson 26 presenting and interpreting data in tabular and graphical fromsLesson 26 presenting and interpreting data in tabular and graphical froms
Lesson 26 presenting and interpreting data in tabular and graphical froms
 
Data organization
Data organizationData organization
Data organization
 
TYPES OF GRAPH & FLOW CHART
TYPES OF GRAPH & FLOW CHARTTYPES OF GRAPH & FLOW CHART
TYPES OF GRAPH & FLOW CHART
 

Similar to Further2 displaying univariate data

2.3 Graphs that enlighten and graphs that deceive
2.3 Graphs that enlighten and graphs that deceive2.3 Graphs that enlighten and graphs that deceive
2.3 Graphs that enlighten and graphs that deceiveLong Beach City College
 
Data Representations
Data RepresentationsData Representations
Data Representationsbujols
 
3. frequency distribution
3. frequency distribution3. frequency distribution
3. frequency distributionIlham Bashir
 
MSC III_Research Methodology and Statistics_Descriptive statistics.pdf
MSC III_Research Methodology and Statistics_Descriptive statistics.pdfMSC III_Research Methodology and Statistics_Descriptive statistics.pdf
MSC III_Research Methodology and Statistics_Descriptive statistics.pdfSuchita Rawat
 
2. AAdata presentation edited edited tutor srudents(1).pptx
2. AAdata presentation edited edited tutor srudents(1).pptx2. AAdata presentation edited edited tutor srudents(1).pptx
2. AAdata presentation edited edited tutor srudents(1).pptxssuser504dda
 
Presentation and-analysis-of-business-data
Presentation and-analysis-of-business-dataPresentation and-analysis-of-business-data
Presentation and-analysis-of-business-datamariantuvilla
 
Presentation and-analysis-of-business-data
Presentation and-analysis-of-business-dataPresentation and-analysis-of-business-data
Presentation and-analysis-of-business-datalovelyquintero
 
Presentation and-analysis-of-business-data
Presentation and-analysis-of-business-dataPresentation and-analysis-of-business-data
Presentation and-analysis-of-business-datalovelyquintero
 
Presentation and-analysis-of-business-data
Presentation and-analysis-of-business-dataPresentation and-analysis-of-business-data
Presentation and-analysis-of-business-datalovelyquintero
 
Presentation and analysis of business data
Presentation and analysis of business dataPresentation and analysis of business data
Presentation and analysis of business dataGeorginaRecto
 
Descriptive Statistics and Data Visualization
Descriptive Statistics and Data VisualizationDescriptive Statistics and Data Visualization
Descriptive Statistics and Data VisualizationDouglas Joubert
 
3. data visualisations
3. data visualisations3. data visualisations
3. data visualisationsDebasish Padhy
 
Day2 session i&ii - spss
Day2 session i&ii - spssDay2 session i&ii - spss
Day2 session i&ii - spssabir hossain
 
Different Types of Graphs.ppt
Different Types of Graphs.pptDifferent Types of Graphs.ppt
Different Types of Graphs.pptlevi0417
 

Similar to Further2 displaying univariate data (20)

3.1 Measures of center
3.1 Measures of center3.1 Measures of center
3.1 Measures of center
 
Graphs in science
Graphs in scienceGraphs in science
Graphs in science
 
Graphs in science
Graphs in scienceGraphs in science
Graphs in science
 
2.3 Graphs that enlighten and graphs that deceive
2.3 Graphs that enlighten and graphs that deceive2.3 Graphs that enlighten and graphs that deceive
2.3 Graphs that enlighten and graphs that deceive
 
Stat11t chapter2
Stat11t chapter2Stat11t chapter2
Stat11t chapter2
 
Data Representations
Data RepresentationsData Representations
Data Representations
 
3. frequency distribution
3. frequency distribution3. frequency distribution
3. frequency distribution
 
MSC III_Research Methodology and Statistics_Descriptive statistics.pdf
MSC III_Research Methodology and Statistics_Descriptive statistics.pdfMSC III_Research Methodology and Statistics_Descriptive statistics.pdf
MSC III_Research Methodology and Statistics_Descriptive statistics.pdf
 
2. AAdata presentation edited edited tutor srudents(1).pptx
2. AAdata presentation edited edited tutor srudents(1).pptx2. AAdata presentation edited edited tutor srudents(1).pptx
2. AAdata presentation edited edited tutor srudents(1).pptx
 
Presentation and-analysis-of-business-data
Presentation and-analysis-of-business-dataPresentation and-analysis-of-business-data
Presentation and-analysis-of-business-data
 
Presentation and-analysis-of-business-data
Presentation and-analysis-of-business-dataPresentation and-analysis-of-business-data
Presentation and-analysis-of-business-data
 
Presentation and-analysis-of-business-data
Presentation and-analysis-of-business-dataPresentation and-analysis-of-business-data
Presentation and-analysis-of-business-data
 
Presentation and-analysis-of-business-data
Presentation and-analysis-of-business-dataPresentation and-analysis-of-business-data
Presentation and-analysis-of-business-data
 
Presentation and analysis of business data
Presentation and analysis of business dataPresentation and analysis of business data
Presentation and analysis of business data
 
Descriptive Statistics and Data Visualization
Descriptive Statistics and Data VisualizationDescriptive Statistics and Data Visualization
Descriptive Statistics and Data Visualization
 
3. data visualisations
3. data visualisations3. data visualisations
3. data visualisations
 
Day2 session i&ii - spss
Day2 session i&ii - spssDay2 session i&ii - spss
Day2 session i&ii - spss
 
Different Types of Graphs.ppt
Different Types of Graphs.pptDifferent Types of Graphs.ppt
Different Types of Graphs.ppt
 
Chapter 2
Chapter 2Chapter 2
Chapter 2
 
Chapter 2
Chapter 2Chapter 2
Chapter 2
 

More from kmcmullen

Further 9 similar triangles
Further 9  similar trianglesFurther 9  similar triangles
Further 9 similar triangleskmcmullen
 
Methods8 trigonometric functions
Methods8  trigonometric functionsMethods8  trigonometric functions
Methods8 trigonometric functionskmcmullen
 
Further8 data transformation
Further8  data transformationFurther8  data transformation
Further8 data transformationkmcmullen
 
Methods7 exponential equations
Methods7  exponential equationsMethods7  exponential equations
Methods7 exponential equationskmcmullen
 
Further7 regression analysis
Further7  regression analysisFurther7  regression analysis
Further7 regression analysiskmcmullen
 
Methods6 modulus function
Methods6  modulus functionMethods6  modulus function
Methods6 modulus functionkmcmullen
 
Further6 displaying bivariate data
Further6  displaying bivariate dataFurther6  displaying bivariate data
Further6 displaying bivariate datakmcmullen
 
Further5 normal distribution
Further5  normal distributionFurther5  normal distribution
Further5 normal distributionkmcmullen
 
Methods5 transformations
Methods5  transformationsMethods5  transformations
Methods5 transformationskmcmullen
 
Types of functions2
Types of functions2Types of functions2
Types of functions2kmcmullen
 
Methods3 types of functions1
Methods3  types of functions1Methods3  types of functions1
Methods3 types of functions1kmcmullen
 
Further4 box plots, 5 number summary and outliers
Further4  box plots, 5 number summary and outliersFurther4  box plots, 5 number summary and outliers
Further4 box plots, 5 number summary and outlierskmcmullen
 
Further3 summarising univariate data
Further3  summarising univariate dataFurther3  summarising univariate data
Further3 summarising univariate datakmcmullen
 
Further1 types of data
Further1  types of dataFurther1  types of data
Further1 types of datakmcmullen
 
Methods2 polynomial functions
Methods2 polynomial functionsMethods2 polynomial functions
Methods2 polynomial functionskmcmullen
 
Methods1 relations and functions
Methods1 relations and functionsMethods1 relations and functions
Methods1 relations and functionskmcmullen
 
Methods1 relations and functions
Methods1  relations and functionsMethods1  relations and functions
Methods1 relations and functionskmcmullen
 

More from kmcmullen (17)

Further 9 similar triangles
Further 9  similar trianglesFurther 9  similar triangles
Further 9 similar triangles
 
Methods8 trigonometric functions
Methods8  trigonometric functionsMethods8  trigonometric functions
Methods8 trigonometric functions
 
Further8 data transformation
Further8  data transformationFurther8  data transformation
Further8 data transformation
 
Methods7 exponential equations
Methods7  exponential equationsMethods7  exponential equations
Methods7 exponential equations
 
Further7 regression analysis
Further7  regression analysisFurther7  regression analysis
Further7 regression analysis
 
Methods6 modulus function
Methods6  modulus functionMethods6  modulus function
Methods6 modulus function
 
Further6 displaying bivariate data
Further6  displaying bivariate dataFurther6  displaying bivariate data
Further6 displaying bivariate data
 
Further5 normal distribution
Further5  normal distributionFurther5  normal distribution
Further5 normal distribution
 
Methods5 transformations
Methods5  transformationsMethods5  transformations
Methods5 transformations
 
Types of functions2
Types of functions2Types of functions2
Types of functions2
 
Methods3 types of functions1
Methods3  types of functions1Methods3  types of functions1
Methods3 types of functions1
 
Further4 box plots, 5 number summary and outliers
Further4  box plots, 5 number summary and outliersFurther4  box plots, 5 number summary and outliers
Further4 box plots, 5 number summary and outliers
 
Further3 summarising univariate data
Further3  summarising univariate dataFurther3  summarising univariate data
Further3 summarising univariate data
 
Further1 types of data
Further1  types of dataFurther1  types of data
Further1 types of data
 
Methods2 polynomial functions
Methods2 polynomial functionsMethods2 polynomial functions
Methods2 polynomial functions
 
Methods1 relations and functions
Methods1 relations and functionsMethods1 relations and functions
Methods1 relations and functions
 
Methods1 relations and functions
Methods1  relations and functionsMethods1  relations and functions
Methods1 relations and functions
 

Recently uploaded

Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxVishalSingh1417
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxheathfieldcps1
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.MaryamAhmad92
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104misteraugie
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfciinovamais
 
Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxUnit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxVishalSingh1417
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingTechSoup
 
Making and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdfMaking and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdfChris Hunter
 
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Shubhangi Sonawane
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfJayanti Pande
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...christianmathematics
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhikauryashika82
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsMebane Rash
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdfQucHHunhnh
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsTechSoup
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibitjbellavia9
 
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfClass 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfAyushMahapatra5
 
PROCESS RECORDING FORMAT.docx
PROCESS      RECORDING        FORMAT.docxPROCESS      RECORDING        FORMAT.docx
PROCESS RECORDING FORMAT.docxPoojaSen20
 

Recently uploaded (20)

Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptx
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 
Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxUnit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptx
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
Asian American Pacific Islander Month DDSD 2024.pptx
Asian American Pacific Islander Month DDSD 2024.pptxAsian American Pacific Islander Month DDSD 2024.pptx
Asian American Pacific Islander Month DDSD 2024.pptx
 
Making and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdfMaking and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdf
 
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdf
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan Fellows
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The Basics
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibit
 
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfClass 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdf
 
PROCESS RECORDING FORMAT.docx
PROCESS      RECORDING        FORMAT.docxPROCESS      RECORDING        FORMAT.docx
PROCESS RECORDING FORMAT.docx
 

Further2 displaying univariate data

  • 1. Further Maths Displaying Univariate Data K McMullen 2012
  • 2. Displaying Univariate Data Frequency Table: Used to organise data so that it is more manageable. Frequency can either be counted or taken as a percentage A frequency table displays the data in a compact form and also tells us something about how the values are distributed K McMullen 2012
  • 3. Displaying Univariate Data Bar charts: used to display categorical data or discrete numerical data The variable is usually plotted on the horizontal axis The frequency (or percentage frequency) is usually displayed on the vertical axis The bars of equal width and have equal spaces between them There is one bar for each category The height of the bar gives the frequency (or percentage frequency) K McMullen 2012
  • 4. Displaying Univariate Data Segmented bar charts: a variation of the bar chart where the bars are stacked on top of one another to give a single bar with several components. The lengths of the segments is determined by the frequencies The height of the bar gives the total frequency ( total in data set or 100% for percentage segmented bar charts) Should only be used for a relatively small number of components (5 maximum) Percentage segmented bar charts are more useful when comparing bivariate data (two variables) K McMullen 2012
  • 5. Displaying Univariate Data Dot Plots: Used to display categorical data or discrete numerical data with the variable along the horizontal axis and each dot above it representing one piece of data Best used for small sets of data and when the data values are relatively close together (small range) K McMullen 2012
  • 6. Displaying Univariate Data Stem plots: each value of the data set it split into two parts: Stem: derived from the first digit(s) Leaf: the last digit The data is displayed in order Always use a key indicating how to interpret the plot K McMullen 2012
  • 7. Displaying Univariate Data Histograms: Used to display discrete and continuous numerical data and is better used for large data sets as data can be placed into intervals. The variable is usually plotted on the horizontal axis The frequency (or percentage frequency) is usually displayed on the vertical axis The height of the bar gives the frequency The bars have no spaces between them There is one bar for each class interval K McMullen 2012
  • 8. Displaying Univariate Data Box plots: Used to display numerical data and is a graphical representation of the 5 number summary Displays the location, spread and general shape of a distribution Can be drawn either vertically or horizontally Must always include a scale and the components of the 5 number summary must be clearly labelled Parallel box plots are used when you are comparing different groups (eg. Study scores of males compared to females) K McMullen 2012