SlideShare a Scribd company logo
1 of 1
Download to read offline
Points
Discrete
Data
Continuous
Data
Meaning
Discrete data has
clear spaces
between values.
Continuous data falls
on a continuous
sequence.
Yes, data is usually units
counted in whole
numbers.
Generally, NO
Can you measure
the data?
NO YES
Examples
The number of students in a
class.
The number of workers in a
company.
The number of parts
damaged during
transportation.
Shoe sizes.
Number of languages an
individual speaks.
The number of home runs
in a baseball game. 
The number of test
questions you answered
correctly.
intellspot.com
Can you count
the data?
The amount of time
required to complete a
project.
The height of children.
The amount of time it takes
to sell shoes.
The amount of rain, in
inches, that falls in a storm.
The square footage of a
two-bedroom house.
The weight of a truck.
The speed of cars.
Time to wake up.
Values
It has a finite number of
possible values. The
values cannot be divided
into smaller pieces and
add additional meaning.
It has an infinite number
of possible values within
an interval. The values
can be subdivided into
smaller and smaller
pieces.
Graphical
Representation
Bar Chart Histogram
0
10
20
30
40
50
Item 1 Item 2 Item 3 Item 4 Item 5

More Related Content

What's hot (20)

Measures of dispersion
Measures of dispersionMeasures of dispersion
Measures of dispersion
 
Measures of Variation
Measures of VariationMeasures of Variation
Measures of Variation
 
Descriptive Statistics
Descriptive StatisticsDescriptive Statistics
Descriptive Statistics
 
PRESENTATION OF STATISTICAL DATA
PRESENTATION OF STATISTICAL DATAPRESENTATION OF STATISTICAL DATA
PRESENTATION OF STATISTICAL DATA
 
Data and its Types
Data and its TypesData and its Types
Data and its Types
 
Unit 2
Unit 2Unit 2
Unit 2
 
Type of data
Type of dataType of data
Type of data
 
Histogram
HistogramHistogram
Histogram
 
Levels of measurement
Levels of measurementLevels of measurement
Levels of measurement
 
1.2 types of data
1.2 types of data1.2 types of data
1.2 types of data
 
Population,Sample and Types of Sample
Population,Sample and Types of SamplePopulation,Sample and Types of Sample
Population,Sample and Types of Sample
 
Nominal data vs ordinal data - comparison chart
Nominal data vs ordinal data - comparison chartNominal data vs ordinal data - comparison chart
Nominal data vs ordinal data - comparison chart
 
Histogram
HistogramHistogram
Histogram
 
Presentationofdata
PresentationofdataPresentationofdata
Presentationofdata
 
seminar.pptx
seminar.pptxseminar.pptx
seminar.pptx
 
Basic Statistical Concepts and Methods
Basic Statistical Concepts and MethodsBasic Statistical Concepts and Methods
Basic Statistical Concepts and Methods
 
Pie Chart
Pie  ChartPie  Chart
Pie Chart
 
Data collection methods
Data collection methodsData collection methods
Data collection methods
 
Class lecture notes # 2 (statistics for research)
Class lecture notes # 2 (statistics for research)Class lecture notes # 2 (statistics for research)
Class lecture notes # 2 (statistics for research)
 
Types of data
Types of data Types of data
Types of data
 

Similar to Discrete vs continuous data - comparison chart

De vry math 399 ilabs & discussions latest 2016 november
De vry math 399 ilabs & discussions latest 2016 novemberDe vry math 399 ilabs & discussions latest 2016 november
De vry math 399 ilabs & discussions latest 2016 novemberlenasour
 
De vry math 399 ilabs & discussions latest 2016
De vry math 399 ilabs & discussions latest 2016De vry math 399 ilabs & discussions latest 2016
De vry math 399 ilabs & discussions latest 2016lenasour
 
1.AdvantagesandDisadvantagesofDotPlotsHistogramsandBoxPlotsLesson.pptx
1.AdvantagesandDisadvantagesofDotPlotsHistogramsandBoxPlotsLesson.pptx1.AdvantagesandDisadvantagesofDotPlotsHistogramsandBoxPlotsLesson.pptx
1.AdvantagesandDisadvantagesofDotPlotsHistogramsandBoxPlotsLesson.pptxAayzazAhmad
 
Categorical DataCategorical data represents characteristics..docx
Categorical DataCategorical data represents characteristics..docxCategorical DataCategorical data represents characteristics..docx
Categorical DataCategorical data represents characteristics..docxketurahhazelhurst
 
E1f14172a91215931ed787d97dee1301fe7d
E1f14172a91215931ed787d97dee1301fe7dE1f14172a91215931ed787d97dee1301fe7d
E1f14172a91215931ed787d97dee1301fe7dKlaus Lieblich
 
Item Analysis, Design and Test Formats
Item Analysis, Design and Test FormatsItem Analysis, Design and Test Formats
Item Analysis, Design and Test FormatsSamcruz5
 
Item analysis
Item analysisItem analysis
Item analysisSamcruz5
 
CHAPTER5    Analyzing Performance MeasuresThink of data as.docx
CHAPTER5    Analyzing Performance MeasuresThink of data as.docxCHAPTER5    Analyzing Performance MeasuresThink of data as.docx
CHAPTER5    Analyzing Performance MeasuresThink of data as.docxtiffanyd4
 
De vry math 399 all ilabs latest 2016 november
De vry math 399 all ilabs latest 2016 novemberDe vry math 399 all ilabs latest 2016 november
De vry math 399 all ilabs latest 2016 novemberlenasour
 
Unit 6 presentation base ten equality form of a number with trainer notes 7.9.08
Unit 6 presentation base ten equality form of a number with trainer notes 7.9.08Unit 6 presentation base ten equality form of a number with trainer notes 7.9.08
Unit 6 presentation base ten equality form of a number with trainer notes 7.9.08jcsmathfoundations
 
Unit 1 lesson 1- building number sense: Largest and possible numbers
Unit 1 lesson 1- building number sense: Largest and possible numbersUnit 1 lesson 1- building number sense: Largest and possible numbers
Unit 1 lesson 1- building number sense: Largest and possible numbersReniel Laki
 
fraction_decimal_all_files
fraction_decimal_all_filesfraction_decimal_all_files
fraction_decimal_all_filesShannon Alba
 

Similar to Discrete vs continuous data - comparison chart (15)

De vry math 399 ilabs & discussions latest 2016 november
De vry math 399 ilabs & discussions latest 2016 novemberDe vry math 399 ilabs & discussions latest 2016 november
De vry math 399 ilabs & discussions latest 2016 november
 
De vry math 399 ilabs & discussions latest 2016
De vry math 399 ilabs & discussions latest 2016De vry math 399 ilabs & discussions latest 2016
De vry math 399 ilabs & discussions latest 2016
 
1.AdvantagesandDisadvantagesofDotPlotsHistogramsandBoxPlotsLesson.pptx
1.AdvantagesandDisadvantagesofDotPlotsHistogramsandBoxPlotsLesson.pptx1.AdvantagesandDisadvantagesofDotPlotsHistogramsandBoxPlotsLesson.pptx
1.AdvantagesandDisadvantagesofDotPlotsHistogramsandBoxPlotsLesson.pptx
 
Categorical DataCategorical data represents characteristics..docx
Categorical DataCategorical data represents characteristics..docxCategorical DataCategorical data represents characteristics..docx
Categorical DataCategorical data represents characteristics..docx
 
E1f14172a91215931ed787d97dee1301fe7d
E1f14172a91215931ed787d97dee1301fe7dE1f14172a91215931ed787d97dee1301fe7d
E1f14172a91215931ed787d97dee1301fe7d
 
Item Analysis, Design and Test Formats
Item Analysis, Design and Test FormatsItem Analysis, Design and Test Formats
Item Analysis, Design and Test Formats
 
Item analysis
Item analysisItem analysis
Item analysis
 
CHAPTER5    Analyzing Performance MeasuresThink of data as.docx
CHAPTER5    Analyzing Performance MeasuresThink of data as.docxCHAPTER5    Analyzing Performance MeasuresThink of data as.docx
CHAPTER5    Analyzing Performance MeasuresThink of data as.docx
 
Data Types
Data TypesData Types
Data Types
 
De vry math 399 all ilabs latest 2016 november
De vry math 399 all ilabs latest 2016 novemberDe vry math 399 all ilabs latest 2016 november
De vry math 399 all ilabs latest 2016 november
 
Unit 6 presentation base ten equality form of a number with trainer notes 7.9.08
Unit 6 presentation base ten equality form of a number with trainer notes 7.9.08Unit 6 presentation base ten equality form of a number with trainer notes 7.9.08
Unit 6 presentation base ten equality form of a number with trainer notes 7.9.08
 
Blooms-Final.pptx
Blooms-Final.pptxBlooms-Final.pptx
Blooms-Final.pptx
 
Charts
ChartsCharts
Charts
 
Unit 1 lesson 1- building number sense: Largest and possible numbers
Unit 1 lesson 1- building number sense: Largest and possible numbersUnit 1 lesson 1- building number sense: Largest and possible numbers
Unit 1 lesson 1- building number sense: Largest and possible numbers
 
fraction_decimal_all_files
fraction_decimal_all_filesfraction_decimal_all_files
fraction_decimal_all_files
 

More from Intellspot

51 market-segmentation-examples-infographic
51 market-segmentation-examples-infographic51 market-segmentation-examples-infographic
51 market-segmentation-examples-infographicIntellspot
 
Market sizing-questions-infographic
Market sizing-questions-infographicMarket sizing-questions-infographic
Market sizing-questions-infographicIntellspot
 
Types of-qualitative-research
Types of-qualitative-researchTypes of-qualitative-research
Types of-qualitative-researchIntellspot
 
What is-market-analysis-infographic
What is-market-analysis-infographicWhat is-market-analysis-infographic
What is-market-analysis-infographicIntellspot
 
Types of sampling methods - infographic
Types of sampling methods - infographicTypes of sampling methods - infographic
Types of sampling methods - infographicIntellspot
 
Types of statistical analysis infographic
Types of statistical analysis infographicTypes of statistical analysis infographic
Types of statistical analysis infographicIntellspot
 
The two-main-data-mining-objectives-infographic
The two-main-data-mining-objectives-infographicThe two-main-data-mining-objectives-infographic
The two-main-data-mining-objectives-infographicIntellspot
 
Best machine learning algorithms for classification - infographic
Best machine learning algorithms for classification - infographicBest machine learning algorithms for classification - infographic
Best machine learning algorithms for classification - infographicIntellspot
 
Supervised vs unsupervised learning - infographic
Supervised vs unsupervised learning - infographicSupervised vs unsupervised learning - infographic
Supervised vs unsupervised learning - infographicIntellspot
 
Qualitative vs quantitative data - infographic
Qualitative vs quantitative data - infographicQualitative vs quantitative data - infographic
Qualitative vs quantitative data - infographicIntellspot
 
Data quality metrics infographic
Data quality metrics infographicData quality metrics infographic
Data quality metrics infographicIntellspot
 
Data driven decision making process - infographic
Data driven decision making process - infographicData driven decision making process - infographic
Data driven decision making process - infographicIntellspot
 
Data management best practices - infographic
Data management best practices - infographicData management best practices - infographic
Data management best practices - infographicIntellspot
 
Market intelligence - an infographic
Market intelligence - an infographicMarket intelligence - an infographic
Market intelligence - an infographicIntellspot
 

More from Intellspot (14)

51 market-segmentation-examples-infographic
51 market-segmentation-examples-infographic51 market-segmentation-examples-infographic
51 market-segmentation-examples-infographic
 
Market sizing-questions-infographic
Market sizing-questions-infographicMarket sizing-questions-infographic
Market sizing-questions-infographic
 
Types of-qualitative-research
Types of-qualitative-researchTypes of-qualitative-research
Types of-qualitative-research
 
What is-market-analysis-infographic
What is-market-analysis-infographicWhat is-market-analysis-infographic
What is-market-analysis-infographic
 
Types of sampling methods - infographic
Types of sampling methods - infographicTypes of sampling methods - infographic
Types of sampling methods - infographic
 
Types of statistical analysis infographic
Types of statistical analysis infographicTypes of statistical analysis infographic
Types of statistical analysis infographic
 
The two-main-data-mining-objectives-infographic
The two-main-data-mining-objectives-infographicThe two-main-data-mining-objectives-infographic
The two-main-data-mining-objectives-infographic
 
Best machine learning algorithms for classification - infographic
Best machine learning algorithms for classification - infographicBest machine learning algorithms for classification - infographic
Best machine learning algorithms for classification - infographic
 
Supervised vs unsupervised learning - infographic
Supervised vs unsupervised learning - infographicSupervised vs unsupervised learning - infographic
Supervised vs unsupervised learning - infographic
 
Qualitative vs quantitative data - infographic
Qualitative vs quantitative data - infographicQualitative vs quantitative data - infographic
Qualitative vs quantitative data - infographic
 
Data quality metrics infographic
Data quality metrics infographicData quality metrics infographic
Data quality metrics infographic
 
Data driven decision making process - infographic
Data driven decision making process - infographicData driven decision making process - infographic
Data driven decision making process - infographic
 
Data management best practices - infographic
Data management best practices - infographicData management best practices - infographic
Data management best practices - infographic
 
Market intelligence - an infographic
Market intelligence - an infographicMarket intelligence - an infographic
Market intelligence - an infographic
 

Recently uploaded

FESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfFESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfMarinCaroMartnezBerg
 
Customer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxCustomer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxEmmanuel Dauda
 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingNeil Barnes
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPramod Kumar Srivastava
 
VIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service Amravati
VIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service AmravatiVIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service Amravati
VIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service AmravatiSuhani Kapoor
 
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Jack DiGiovanna
 
定制英国白金汉大学毕业证(UCB毕业证书) 成绩单原版一比一
定制英国白金汉大学毕业证(UCB毕业证书)																			成绩单原版一比一定制英国白金汉大学毕业证(UCB毕业证书)																			成绩单原版一比一
定制英国白金汉大学毕业证(UCB毕业证书) 成绩单原版一比一ffjhghh
 
VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...
VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...
VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...Suhani Kapoor
 
Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service Bhilai
Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service BhilaiLow Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service Bhilai
Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service BhilaiSuhani Kapoor
 
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...Suhani Kapoor
 
Predicting Employee Churn: A Data-Driven Approach Project Presentation
Predicting Employee Churn: A Data-Driven Approach Project PresentationPredicting Employee Churn: A Data-Driven Approach Project Presentation
Predicting Employee Churn: A Data-Driven Approach Project PresentationBoston Institute of Analytics
 
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...Florian Roscheck
 
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Delhi Call girls
 
{Pooja: 9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
{Pooja:  9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...{Pooja:  9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
{Pooja: 9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...Pooja Nehwal
 
Full night 🥵 Call Girls Delhi New Friends Colony {9711199171} Sanya Reddy ✌️o...
Full night 🥵 Call Girls Delhi New Friends Colony {9711199171} Sanya Reddy ✌️o...Full night 🥵 Call Girls Delhi New Friends Colony {9711199171} Sanya Reddy ✌️o...
Full night 🥵 Call Girls Delhi New Friends Colony {9711199171} Sanya Reddy ✌️o...shivangimorya083
 
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...dajasot375
 

Recently uploaded (20)

FESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfFESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdf
 
Customer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxCustomer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptx
 
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data Storytelling
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
 
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in  KishangarhDelhi 99530 vip 56974 Genuine Escort Service Call Girls in  Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
 
VIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service Amravati
VIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service AmravatiVIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service Amravati
VIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service Amravati
 
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
 
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
 
定制英国白金汉大学毕业证(UCB毕业证书) 成绩单原版一比一
定制英国白金汉大学毕业证(UCB毕业证书)																			成绩单原版一比一定制英国白金汉大学毕业证(UCB毕业证书)																			成绩单原版一比一
定制英国白金汉大学毕业证(UCB毕业证书) 成绩单原版一比一
 
VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...
VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...
VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...
 
Decoding Loan Approval: Predictive Modeling in Action
Decoding Loan Approval: Predictive Modeling in ActionDecoding Loan Approval: Predictive Modeling in Action
Decoding Loan Approval: Predictive Modeling in Action
 
Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service Bhilai
Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service BhilaiLow Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service Bhilai
Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service Bhilai
 
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
 
Predicting Employee Churn: A Data-Driven Approach Project Presentation
Predicting Employee Churn: A Data-Driven Approach Project PresentationPredicting Employee Churn: A Data-Driven Approach Project Presentation
Predicting Employee Churn: A Data-Driven Approach Project Presentation
 
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
 
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
 
{Pooja: 9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
{Pooja:  9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...{Pooja:  9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
{Pooja: 9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
 
Full night 🥵 Call Girls Delhi New Friends Colony {9711199171} Sanya Reddy ✌️o...
Full night 🥵 Call Girls Delhi New Friends Colony {9711199171} Sanya Reddy ✌️o...Full night 🥵 Call Girls Delhi New Friends Colony {9711199171} Sanya Reddy ✌️o...
Full night 🥵 Call Girls Delhi New Friends Colony {9711199171} Sanya Reddy ✌️o...
 
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
 

Discrete vs continuous data - comparison chart

  • 1. Points Discrete Data Continuous Data Meaning Discrete data has clear spaces between values. Continuous data falls on a continuous sequence. Yes, data is usually units counted in whole numbers. Generally, NO Can you measure the data? NO YES Examples The number of students in a class. The number of workers in a company. The number of parts damaged during transportation. Shoe sizes. Number of languages an individual speaks. The number of home runs in a baseball game.  The number of test questions you answered correctly. intellspot.com Can you count the data? The amount of time required to complete a project. The height of children. The amount of time it takes to sell shoes. The amount of rain, in inches, that falls in a storm. The square footage of a two-bedroom house. The weight of a truck. The speed of cars. Time to wake up. Values It has a finite number of possible values. The values cannot be divided into smaller pieces and add additional meaning. It has an infinite number of possible values within an interval. The values can be subdivided into smaller and smaller pieces. Graphical Representation Bar Chart Histogram 0 10 20 30 40 50 Item 1 Item 2 Item 3 Item 4 Item 5