SlideShare a Scribd company logo
Mean, Median,
Mode, & Range
Agenda
O Review
O Mean
O Median
O Mode
O Range
O Mean, median, mode, range foldable
O Worksheet
O Playing a game
O Quiz
O Mean : (average)
O The "Mean" is computed by adding all of
the numbers in the data together and
dividing by the number elements
contained in the data set.
O Example :
O Data Set = 2, 5, 9, 3, 5, 4, 7
O Number of Elements in Data Set = 7
O Mean = ( 2 + 5 + 9 + 7 + 5 + 4 + 3 ) / 7 = 5
O Median : (middle)
O The "Median" of a data set is dependent on
whether the number of elements in the data set
is odd or even.
O First reorder the data set from the smallest to
the largest
O Mark off high and low values until you reach the
middle.
O If there 2 middles, add them and divide by 2.
O Examples : Odd Number of Elements
O Data Set = 2, 5, 9, 3, 5, 4, 7
O Reordered = 2, 3, 4, 5, 5, 7, 9
^
O Median = 5
O Examples : Even Number of Elements
O Data Set = 2, 5, 9, 3, 5, 4
O Reordered = 2, 3, 4, 5, 5, 9
^ ^
Median = ( 4 + 5 ) / 2 = 4.5
O Mode : (most often)
O The "Mode" for a data set is the element
that occurs the most often.
O It is not uncommon for a data set to have
more than one mode.
O This happens when two or more elements
occur with equal frequency in the data set.
O Example :
O Data Set = 2, 5, 9, 3, 5, 4, 7
O Mode = 5
O Example:
O Data Set = 2, 5, 2, 3, 5, 4, 7
O Modes = 2 and 5
O Range :
O The "Range" for a data set is the
difference between the largest value and
smallest value contained in the data set.
O First reorder the data set from smallest to
largest then subtract the first element
from the last element.
Examples :
O Data Set = 2, 5, 9, 3, 5, 4, 7
O Reordered = 2, 3, 4, 5, 5, 7, 9
O Range = ( 9 - 2 ) = 7
O To find the mean:
O 1. ------------------- all values.
O 2. ----------------------- by the number of the
values.
O Example :
O Data Set = 2, 5, 9, 3, 5, 4, 7
O Number of Elements in Data Set = 7
O Mean = ( 2 + 5 + 9 + 7 + 5 + 4 + 3 ) / 7 = 5
To find the median:
O 1. Put numbers in -------------------- from least
to greatest.
O 2. Mark off high and low values until you
reach the ------------------
O 3. If there 2 middles, add them and ------------
------ by 2
O Examples : Odd Number of Elements
O Data Set = 2, 5, 9, 3, 5, 4, 7
O Reordered = 2, 3, 4, 5, 5, 7, 9
^
O Median = 5
O Examples : Even Number of Elements
O Data Set = 2, 5, 9, 3, 5, 4
O Reordered = 2, 3, 4, 5, 5, 9
^ ^
Median = ( 4 + 5 ) / 2 = 4.5
O To find the mode:
O 1. Put numbers in ------------------ from least to
greatest.
O 2. Find the numbers that appears the -----------
-----.
O 3. There may be more than one mode, or
O there may be --------------- .
O Example :
O Data Set = 2, 5, 9, 3, 5, 4, 7
O Mode = 5
O Example:
O Data Set = 2, 5, 2, 3, 5, 4, 7
O Modes = 2 and 5
To find the range:
1. Put numbers in ----------------- from least to
greatest.
2. --------------------------- the lowest number from
the highest number.
Examples :
O Data Set = 2, 5, 9, 3, 5, 4, 7
O Reordered = 2, 3, 4, 5, 5, 7, 9
O Range = ( 9 - 2 ) = 7

More Related Content

What's hot

Frequency distribution 6
Frequency distribution 6Frequency distribution 6
Frequency distribution 6
NadeemShoukat3
 
Mean, median, and mode
Mean, median, and modeMean, median, and mode
Mean, median, and modeguest455435
 
Standard deviation
Standard deviationStandard deviation
Standard deviation
Sayeda Salma S.A.
 
Biostatistics Measures of dispersion
Biostatistics Measures of dispersionBiostatistics Measures of dispersion
Biostatistics Measures of dispersion
HARINATHA REDDY ASWARTHA
 
Measure of Dispersion
Measure of DispersionMeasure of Dispersion
Measure of Dispersion
sonia gupta
 
Frequency distribution
Frequency distributionFrequency distribution
Frequency distribution
Aishwarya PT
 
The Normal distribution
The Normal distributionThe Normal distribution
The Normal distribution
Sarfraz Ahmad
 
Introduction to statistics
Introduction to statisticsIntroduction to statistics
Introduction to statistics
ScholarsPoint1
 
Measures of central tendency
Measures of central tendencyMeasures of central tendency
Measures of central tendency
Alex Chris
 
Standard Deviation.ppt
Standard Deviation.pptStandard Deviation.ppt
Standard Deviation.ppt
GlenvilleBelarminoGe
 
Frequency Distribution
Frequency DistributionFrequency Distribution
Frequency Distribution
TeacherMariza
 
Dr digs central tendency
Dr digs central tendencyDr digs central tendency
Dr digs central tendencydrdig
 
Standard deviation
Standard deviationStandard deviation
Standard deviation
Dr.M.Prasad Naidu
 
Measure OF Central Tendency
Measure OF Central TendencyMeasure OF Central Tendency
Measure OF Central TendencyIqrabutt038
 
Classification and tabulation of data
Classification and tabulation of dataClassification and tabulation of data
Classification and tabulation of data
Jagdish Powar
 
Standard deviation :grouped data/Continuous data
Standard deviation  :grouped data/Continuous dataStandard deviation  :grouped data/Continuous data
Standard deviation :grouped data/Continuous data
Janak Singh saud
 
Biostatistics Frequency distribution
Biostatistics Frequency distributionBiostatistics Frequency distribution
Biostatistics Frequency distribution
HARINATHA REDDY ASWARTHA
 
Arithmetic Mean, Geometric Mean, Harmonic Mean
Arithmetic Mean, Geometric Mean, Harmonic MeanArithmetic Mean, Geometric Mean, Harmonic Mean
Arithmetic Mean, Geometric Mean, Harmonic Mean
Dr. Nirav Vyas
 

What's hot (20)

Frequency distribution 6
Frequency distribution 6Frequency distribution 6
Frequency distribution 6
 
Mean, median, and mode
Mean, median, and modeMean, median, and mode
Mean, median, and mode
 
Standard deviation
Standard deviationStandard deviation
Standard deviation
 
Mode
ModeMode
Mode
 
Biostatistics Measures of dispersion
Biostatistics Measures of dispersionBiostatistics Measures of dispersion
Biostatistics Measures of dispersion
 
Measure of Dispersion
Measure of DispersionMeasure of Dispersion
Measure of Dispersion
 
Frequency distribution
Frequency distributionFrequency distribution
Frequency distribution
 
The Normal distribution
The Normal distributionThe Normal distribution
The Normal distribution
 
Introduction to statistics
Introduction to statisticsIntroduction to statistics
Introduction to statistics
 
Measures of dispersion
Measures  of  dispersionMeasures  of  dispersion
Measures of dispersion
 
Measures of central tendency
Measures of central tendencyMeasures of central tendency
Measures of central tendency
 
Standard Deviation.ppt
Standard Deviation.pptStandard Deviation.ppt
Standard Deviation.ppt
 
Frequency Distribution
Frequency DistributionFrequency Distribution
Frequency Distribution
 
Dr digs central tendency
Dr digs central tendencyDr digs central tendency
Dr digs central tendency
 
Standard deviation
Standard deviationStandard deviation
Standard deviation
 
Measure OF Central Tendency
Measure OF Central TendencyMeasure OF Central Tendency
Measure OF Central Tendency
 
Classification and tabulation of data
Classification and tabulation of dataClassification and tabulation of data
Classification and tabulation of data
 
Standard deviation :grouped data/Continuous data
Standard deviation  :grouped data/Continuous dataStandard deviation  :grouped data/Continuous data
Standard deviation :grouped data/Continuous data
 
Biostatistics Frequency distribution
Biostatistics Frequency distributionBiostatistics Frequency distribution
Biostatistics Frequency distribution
 
Arithmetic Mean, Geometric Mean, Harmonic Mean
Arithmetic Mean, Geometric Mean, Harmonic MeanArithmetic Mean, Geometric Mean, Harmonic Mean
Arithmetic Mean, Geometric Mean, Harmonic Mean
 

Viewers also liked

Mean, Median, Mode, And Range
Mean, Median, Mode, And RangeMean, Median, Mode, And Range
Mean, Median, Mode, And Range
tmathteacher86
 
Mean Median Mode Range
Mean Median Mode RangeMean Median Mode Range
Mean Median Mode Rangeguestda4150
 
Calculating the mean, median and mode
Calculating the mean, median and modeCalculating the mean, median and mode
Calculating the mean, median and mode
carltimmis
 
Mean, Median, and Mode - Introductory Statistics
Mean, Median, and Mode - Introductory StatisticsMean, Median, and Mode - Introductory Statistics
Mean, Median, and Mode - Introductory Statistics
quantitative_specialists
 
Statistics (Mean, Median, Mode)
Statistics (Mean, Median, Mode)Statistics (Mean, Median, Mode)
Statistics (Mean, Median, Mode)
Sherzad Daudzai
 
Grouped Mean Median Mode
Grouped Mean Median ModeGrouped Mean Median Mode
Grouped Mean Median Mode
Passy World
 
Mean Median Mode
Mean Median ModeMean Median Mode
Mean Median Modehiratufail
 
Mean, Median, Mode: Measures of Central Tendency
Mean, Median, Mode: Measures of Central Tendency Mean, Median, Mode: Measures of Central Tendency
Mean, Median, Mode: Measures of Central Tendency Jan Nah
 

Viewers also liked (8)

Mean, Median, Mode, And Range
Mean, Median, Mode, And RangeMean, Median, Mode, And Range
Mean, Median, Mode, And Range
 
Mean Median Mode Range
Mean Median Mode RangeMean Median Mode Range
Mean Median Mode Range
 
Calculating the mean, median and mode
Calculating the mean, median and modeCalculating the mean, median and mode
Calculating the mean, median and mode
 
Mean, Median, and Mode - Introductory Statistics
Mean, Median, and Mode - Introductory StatisticsMean, Median, and Mode - Introductory Statistics
Mean, Median, and Mode - Introductory Statistics
 
Statistics (Mean, Median, Mode)
Statistics (Mean, Median, Mode)Statistics (Mean, Median, Mode)
Statistics (Mean, Median, Mode)
 
Grouped Mean Median Mode
Grouped Mean Median ModeGrouped Mean Median Mode
Grouped Mean Median Mode
 
Mean Median Mode
Mean Median ModeMean Median Mode
Mean Median Mode
 
Mean, Median, Mode: Measures of Central Tendency
Mean, Median, Mode: Measures of Central Tendency Mean, Median, Mode: Measures of Central Tendency
Mean, Median, Mode: Measures of Central Tendency
 

Similar to Mean-median-mode

meanmedianmoderangeppt-130314221942-phpapp02.pptx
meanmedianmoderangeppt-130314221942-phpapp02.pptxmeanmedianmoderangeppt-130314221942-phpapp02.pptx
meanmedianmoderangeppt-130314221942-phpapp02.pptx
MartMantilla1
 
Mean, Median, Mode And Range by Mary T
Mean, Median, Mode And Range by Mary TMean, Median, Mode And Range by Mary T
Mean, Median, Mode And Range by Mary T
Julian Charter
 
Mean-Median-Mode-Range-Demonstration.pptx
Mean-Median-Mode-Range-Demonstration.pptxMean-Median-Mode-Range-Demonstration.pptx
Mean-Median-Mode-Range-Demonstration.pptx
ssuserb9172b1
 
Mean-Median-Mode-Range-Demonstration.pptx
Mean-Median-Mode-Range-Demonstration.pptxMean-Median-Mode-Range-Demonstration.pptx
Mean-Median-Mode-Range-Demonstration.pptx
krishan425
 
Mean, Median And Mode
Mean, Median And ModeMean, Median And Mode
Mean, Median And Modestanhopekris
 
3. Mean__Median__Mode__Range.ppt
3. Mean__Median__Mode__Range.ppt3. Mean__Median__Mode__Range.ppt
3. Mean__Median__Mode__Range.ppt
ABDULRAUF411
 
Mean__Median__Mode__Range.ppt
Mean__Median__Mode__Range.pptMean__Median__Mode__Range.ppt
Mean__Median__Mode__Range.ppt
trader33
 
Stattistic ii - mode, median, mean
Stattistic ii - mode, median, meanStattistic ii - mode, median, mean
Stattistic ii - mode, median, meanamsy1224
 
Lesson 2
Lesson 2Lesson 2
Lesson 2jwheat
 
Mean, median, mode & range
Mean, median, mode & rangeMean, median, mode & range
Mean, median, mode & rangevlissaris
 
Chapter 8 advanced sorting and hashing for print
Chapter 8 advanced sorting and hashing for printChapter 8 advanced sorting and hashing for print
Chapter 8 advanced sorting and hashing for print
Abdii Rashid
 
Presentation1
Presentation1Presentation1
Algebra unit 9.3
Algebra unit 9.3Algebra unit 9.3
Algebra unit 9.3
Mark Ryder
 
358 33 powerpoint-slides_5-arrays_chapter-5
358 33 powerpoint-slides_5-arrays_chapter-5358 33 powerpoint-slides_5-arrays_chapter-5
358 33 powerpoint-slides_5-arrays_chapter-5
sumitbardhan
 
Data structure algorithm
Data structure algorithmData structure algorithm
Data structure algorithm
PriyadharshiniVS
 
Sorting algorithms
Sorting algorithmsSorting algorithms
Sorting algorithms
Zaid Hameed
 

Similar to Mean-median-mode (20)

meanmedianmoderangeppt-130314221942-phpapp02.pptx
meanmedianmoderangeppt-130314221942-phpapp02.pptxmeanmedianmoderangeppt-130314221942-phpapp02.pptx
meanmedianmoderangeppt-130314221942-phpapp02.pptx
 
P5 ungrouped data
P5 ungrouped dataP5 ungrouped data
P5 ungrouped data
 
G7-quantitative
G7-quantitativeG7-quantitative
G7-quantitative
 
Mean, Median, Mode And Range by Mary T
Mean, Median, Mode And Range by Mary TMean, Median, Mode And Range by Mary T
Mean, Median, Mode And Range by Mary T
 
Mean-Median-Mode-Range-Demonstration.pptx
Mean-Median-Mode-Range-Demonstration.pptxMean-Median-Mode-Range-Demonstration.pptx
Mean-Median-Mode-Range-Demonstration.pptx
 
Mean-Median-Mode-Range-Demonstration.pptx
Mean-Median-Mode-Range-Demonstration.pptxMean-Median-Mode-Range-Demonstration.pptx
Mean-Median-Mode-Range-Demonstration.pptx
 
Mean, Median And Mode
Mean, Median And ModeMean, Median And Mode
Mean, Median And Mode
 
3. Mean__Median__Mode__Range.ppt
3. Mean__Median__Mode__Range.ppt3. Mean__Median__Mode__Range.ppt
3. Mean__Median__Mode__Range.ppt
 
stat.ppt
stat.pptstat.ppt
stat.ppt
 
Mean__Median__Mode__Range.ppt
Mean__Median__Mode__Range.pptMean__Median__Mode__Range.ppt
Mean__Median__Mode__Range.ppt
 
Stattistic ii - mode, median, mean
Stattistic ii - mode, median, meanStattistic ii - mode, median, mean
Stattistic ii - mode, median, mean
 
Lesson 2
Lesson 2Lesson 2
Lesson 2
 
Mean, median, mode & range
Mean, median, mode & rangeMean, median, mode & range
Mean, median, mode & range
 
Chapter 8 advanced sorting and hashing for print
Chapter 8 advanced sorting and hashing for printChapter 8 advanced sorting and hashing for print
Chapter 8 advanced sorting and hashing for print
 
Presentation1
Presentation1Presentation1
Presentation1
 
Algebra unit 9.3
Algebra unit 9.3Algebra unit 9.3
Algebra unit 9.3
 
358 33 powerpoint-slides_5-arrays_chapter-5
358 33 powerpoint-slides_5-arrays_chapter-5358 33 powerpoint-slides_5-arrays_chapter-5
358 33 powerpoint-slides_5-arrays_chapter-5
 
Chapter 3.2
Chapter 3.2Chapter 3.2
Chapter 3.2
 
Data structure algorithm
Data structure algorithmData structure algorithm
Data structure algorithm
 
Sorting algorithms
Sorting algorithmsSorting algorithms
Sorting algorithms
 

More from Pawan Mishra

Logarithms
LogarithmsLogarithms
Logarithms
Pawan Mishra
 
Fundamentals of Quantitative Aptitude
Fundamentals of Quantitative AptitudeFundamentals of Quantitative Aptitude
Fundamentals of Quantitative Aptitude
Pawan Mishra
 
Important aptitude questions which are asked in the Infosys Placement
Important aptitude questions which are asked in the Infosys PlacementImportant aptitude questions which are asked in the Infosys Placement
Important aptitude questions which are asked in the Infosys Placement
Pawan Mishra
 
Calendars- Aptitude
Calendars- Aptitude Calendars- Aptitude
Calendars- Aptitude
Pawan Mishra
 
Clocks(quantitative aptitude)
Clocks(quantitative aptitude)Clocks(quantitative aptitude)
Clocks(quantitative aptitude)
Pawan Mishra
 
Infosys test pattern
Infosys test patternInfosys test pattern
Infosys test pattern
Pawan Mishra
 
Facts about number
Facts about numberFacts about number
Facts about number
Pawan Mishra
 
Maths fact
Maths factMaths fact
Maths fact
Pawan Mishra
 
number system
number systemnumber system
number system
Pawan Mishra
 
blood relation
blood relationblood relation
blood relation
Pawan Mishra
 
number system
number systemnumber system
number system
Pawan Mishra
 
number system
number systemnumber system
number system
Pawan Mishra
 
PERMUTATION & COMBINATION
PERMUTATION & COMBINATIONPERMUTATION & COMBINATION
PERMUTATION & COMBINATION
Pawan Mishra
 
Careers
CareersCareers
Careers
Pawan Mishra
 
Maths trick
Maths trickMaths trick
Maths trick
Pawan Mishra
 
Lateral puzzle
Lateral puzzleLateral puzzle
Lateral puzzle
Pawan Mishra
 
Maths shortcut
Maths shortcutMaths shortcut
Maths shortcut
Pawan Mishra
 
Amazing trick
Amazing trickAmazing trick
Amazing trick
Pawan Mishra
 
Ratio
Ratio Ratio
Ratio
Pawan Mishra
 

More from Pawan Mishra (20)

Logarithms
LogarithmsLogarithms
Logarithms
 
Fundamentals of Quantitative Aptitude
Fundamentals of Quantitative AptitudeFundamentals of Quantitative Aptitude
Fundamentals of Quantitative Aptitude
 
Important aptitude questions which are asked in the Infosys Placement
Important aptitude questions which are asked in the Infosys PlacementImportant aptitude questions which are asked in the Infosys Placement
Important aptitude questions which are asked in the Infosys Placement
 
Calendars- Aptitude
Calendars- Aptitude Calendars- Aptitude
Calendars- Aptitude
 
Clocks(quantitative aptitude)
Clocks(quantitative aptitude)Clocks(quantitative aptitude)
Clocks(quantitative aptitude)
 
Infosys test pattern
Infosys test patternInfosys test pattern
Infosys test pattern
 
Facts about number
Facts about numberFacts about number
Facts about number
 
Maths fact
Maths factMaths fact
Maths fact
 
number system
number systemnumber system
number system
 
blood relation
blood relationblood relation
blood relation
 
number system
number systemnumber system
number system
 
number system
number systemnumber system
number system
 
PERMUTATION & COMBINATION
PERMUTATION & COMBINATIONPERMUTATION & COMBINATION
PERMUTATION & COMBINATION
 
Careers
CareersCareers
Careers
 
Maths trick
Maths trickMaths trick
Maths trick
 
Lateral puzzle
Lateral puzzleLateral puzzle
Lateral puzzle
 
Maths shortcut
Maths shortcutMaths shortcut
Maths shortcut
 
Magic math
Magic mathMagic math
Magic math
 
Amazing trick
Amazing trickAmazing trick
Amazing trick
 
Ratio
Ratio Ratio
Ratio
 

Recently uploaded

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
 
"Protectable subject matters, Protection in biotechnology, Protection of othe...
"Protectable subject matters, Protection in biotechnology, Protection of othe..."Protectable subject matters, Protection in biotechnology, Protection of othe...
"Protectable subject matters, Protection in biotechnology, Protection of othe...
SACHIN R KONDAGURI
 
Operation Blue Star - Saka Neela Tara
Operation Blue Star   -  Saka Neela TaraOperation Blue Star   -  Saka Neela Tara
Operation Blue Star - Saka Neela Tara
Balvir Singh
 
The Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official PublicationThe Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official Publication
Delapenabediema
 
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
Nguyen Thanh Tu Collection
 
A Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptxA Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptx
thanhdowork
 
Azure Interview Questions and Answers PDF By ScholarHat
Azure Interview Questions and Answers PDF By ScholarHatAzure Interview Questions and Answers PDF By ScholarHat
Azure Interview Questions and Answers PDF By ScholarHat
Scholarhat
 
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
 
Advantages and Disadvantages of CMS from an SEO Perspective
Advantages and Disadvantages of CMS from an SEO PerspectiveAdvantages and Disadvantages of CMS from an SEO Perspective
Advantages and Disadvantages of CMS from an SEO Perspective
Krisztián Száraz
 
Guidance_and_Counselling.pdf B.Ed. 4th Semester
Guidance_and_Counselling.pdf B.Ed. 4th SemesterGuidance_and_Counselling.pdf B.Ed. 4th Semester
Guidance_and_Counselling.pdf B.Ed. 4th Semester
Atul Kumar Singh
 
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
 
Introduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp NetworkIntroduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp Network
TechSoup
 
Supporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptxSupporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptx
Jisc
 
special B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdfspecial B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdf
Special education needs
 
Best Digital Marketing Institute In NOIDA
Best Digital Marketing Institute In NOIDABest Digital Marketing Institute In NOIDA
Best Digital Marketing Institute In NOIDA
deeptiverma2406
 
The Diamond Necklace by Guy De Maupassant.pptx
The Diamond Necklace by Guy De Maupassant.pptxThe Diamond Necklace by Guy De Maupassant.pptx
The Diamond Necklace by Guy De Maupassant.pptx
DhatriParmar
 
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
 
Embracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic ImperativeEmbracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic Imperative
Peter Windle
 
Overview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with MechanismOverview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with Mechanism
DeeptiGupta154
 
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
 

Recently uploaded (20)

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
 
"Protectable subject matters, Protection in biotechnology, Protection of othe...
"Protectable subject matters, Protection in biotechnology, Protection of othe..."Protectable subject matters, Protection in biotechnology, Protection of othe...
"Protectable subject matters, Protection in biotechnology, Protection of othe...
 
Operation Blue Star - Saka Neela Tara
Operation Blue Star   -  Saka Neela TaraOperation Blue Star   -  Saka Neela Tara
Operation Blue Star - Saka Neela Tara
 
The Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official PublicationThe Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official Publication
 
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
 
A Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptxA Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptx
 
Azure Interview Questions and Answers PDF By ScholarHat
Azure Interview Questions and Answers PDF By ScholarHatAzure Interview Questions and Answers PDF By ScholarHat
Azure Interview Questions and Answers PDF By ScholarHat
 
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
 
Advantages and Disadvantages of CMS from an SEO Perspective
Advantages and Disadvantages of CMS from an SEO PerspectiveAdvantages and Disadvantages of CMS from an SEO Perspective
Advantages and Disadvantages of CMS from an SEO Perspective
 
Guidance_and_Counselling.pdf B.Ed. 4th Semester
Guidance_and_Counselling.pdf B.Ed. 4th SemesterGuidance_and_Counselling.pdf B.Ed. 4th Semester
Guidance_and_Counselling.pdf B.Ed. 4th Semester
 
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
 
Introduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp NetworkIntroduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp Network
 
Supporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptxSupporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptx
 
special B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdfspecial B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdf
 
Best Digital Marketing Institute In NOIDA
Best Digital Marketing Institute In NOIDABest Digital Marketing Institute In NOIDA
Best Digital Marketing Institute In NOIDA
 
The Diamond Necklace by Guy De Maupassant.pptx
The Diamond Necklace by Guy De Maupassant.pptxThe Diamond Necklace by Guy De Maupassant.pptx
The Diamond Necklace by Guy De Maupassant.pptx
 
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 ...
 
Embracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic ImperativeEmbracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic Imperative
 
Overview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with MechanismOverview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with Mechanism
 
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
 

Mean-median-mode

  • 2. Agenda O Review O Mean O Median O Mode O Range O Mean, median, mode, range foldable O Worksheet O Playing a game O Quiz
  • 3. O Mean : (average) O The "Mean" is computed by adding all of the numbers in the data together and dividing by the number elements contained in the data set.
  • 4. O Example : O Data Set = 2, 5, 9, 3, 5, 4, 7 O Number of Elements in Data Set = 7 O Mean = ( 2 + 5 + 9 + 7 + 5 + 4 + 3 ) / 7 = 5
  • 5. O Median : (middle) O The "Median" of a data set is dependent on whether the number of elements in the data set is odd or even. O First reorder the data set from the smallest to the largest O Mark off high and low values until you reach the middle. O If there 2 middles, add them and divide by 2.
  • 6. O Examples : Odd Number of Elements O Data Set = 2, 5, 9, 3, 5, 4, 7 O Reordered = 2, 3, 4, 5, 5, 7, 9 ^ O Median = 5
  • 7. O Examples : Even Number of Elements O Data Set = 2, 5, 9, 3, 5, 4 O Reordered = 2, 3, 4, 5, 5, 9 ^ ^ Median = ( 4 + 5 ) / 2 = 4.5
  • 8. O Mode : (most often) O The "Mode" for a data set is the element that occurs the most often. O It is not uncommon for a data set to have more than one mode. O This happens when two or more elements occur with equal frequency in the data set.
  • 9. O Example : O Data Set = 2, 5, 9, 3, 5, 4, 7 O Mode = 5 O Example: O Data Set = 2, 5, 2, 3, 5, 4, 7 O Modes = 2 and 5
  • 10. O Range : O The "Range" for a data set is the difference between the largest value and smallest value contained in the data set. O First reorder the data set from smallest to largest then subtract the first element from the last element.
  • 11. Examples : O Data Set = 2, 5, 9, 3, 5, 4, 7 O Reordered = 2, 3, 4, 5, 5, 7, 9 O Range = ( 9 - 2 ) = 7
  • 12.
  • 13. O To find the mean: O 1. ------------------- all values. O 2. ----------------------- by the number of the values.
  • 14. O Example : O Data Set = 2, 5, 9, 3, 5, 4, 7 O Number of Elements in Data Set = 7 O Mean = ( 2 + 5 + 9 + 7 + 5 + 4 + 3 ) / 7 = 5
  • 15. To find the median: O 1. Put numbers in -------------------- from least to greatest. O 2. Mark off high and low values until you reach the ------------------ O 3. If there 2 middles, add them and ------------ ------ by 2
  • 16. O Examples : Odd Number of Elements O Data Set = 2, 5, 9, 3, 5, 4, 7 O Reordered = 2, 3, 4, 5, 5, 7, 9 ^ O Median = 5
  • 17. O Examples : Even Number of Elements O Data Set = 2, 5, 9, 3, 5, 4 O Reordered = 2, 3, 4, 5, 5, 9 ^ ^ Median = ( 4 + 5 ) / 2 = 4.5
  • 18. O To find the mode: O 1. Put numbers in ------------------ from least to greatest. O 2. Find the numbers that appears the ----------- -----. O 3. There may be more than one mode, or O there may be --------------- .
  • 19. O Example : O Data Set = 2, 5, 9, 3, 5, 4, 7 O Mode = 5 O Example: O Data Set = 2, 5, 2, 3, 5, 4, 7 O Modes = 2 and 5
  • 20. To find the range: 1. Put numbers in ----------------- from least to greatest. 2. --------------------------- the lowest number from the highest number.
  • 21. Examples : O Data Set = 2, 5, 9, 3, 5, 4, 7 O Reordered = 2, 3, 4, 5, 5, 7, 9 O Range = ( 9 - 2 ) = 7