SlideShare ist ein Scribd-Unternehmen logo
1 von 18
DATA PROBABILITY AND
STATISTICS-GRADE 4

OBJECTIVE: USE MEAN, MEDIAN, AND
MODE TO DESCRIBE A SET OF DATA.




Created by: SHERRI COLLIE
EDN 300-002
JULY 14, 2009
CREDITS:

 PICTURES BY: GOOGLE AND POWERPOINT

 CONTENT AND CURRICULUM PROVIDED BY:
 WWW.YOUTUBE.COM
 WWW.YOURTEACHER.COM
 WWW.LEARNINGUPGRADE.COM

 CREATED BY: SHERRI COLLIE

 A MATH LESSON PLAN FOR FOURTH GRADERS
MAIN MENU
CONTENT 1.1


WHAT ARE THEY?


•MEAN
•MEDIAN
•MODE
For more
                             math tips
CONTENT 1.2                 press here!




The Mean, Median, and Mode are
summary statistics that help you
describe a set of numbers in a
data set.
CONTENT 1.3

MEAN                          EXAMPLE
                                Data Set:
   It is the average            7, 6,4,6,10,8,5,2
                               The sum of all numbers

   = the sum of all the              = 48
    numbers in a set           Divide the sum by the
    divided by the total        total of the numbers in
    number in that data set     the data set.
                                    48/8=6
                               The mean is 6
CONTENT 1.4

MEDIAN:
                                      Data set
• the value in the middle
of the data set.               15, 24,49,8,50

                            Put them in order from lowest
• half the numbers are               to highest
< or = to the median.           8,15,24,49,50

• half the numbers are         Pick the middle value
> or = to the median             Median=24
CONTENT 1.5
                                                    Data Set:
                                                 3,4,5,5,6,7,8,10
If your data set has an
    even amount of
       numbers,
                    Your data set would
                      have two middle
                          values.
                                     Take the mean of
                                    these two values to
                                      get the median.
                                                          Median=(5+6)=11
                                                             11/2=5.5
                                                            Median=5.5
CONTENT 1.6

               The Mode is the value which
              has the greatest frequency in the
              data set.

                   Example Data Set:
                    3,4,5,5,6,7,8,10

               The Mode of this Data Set is:
                         5
CONTENT 1.7
   If there are no repeating
    numbers in the data set,
           Example:


    Data Set: 3,5,7,9,12,15


   There is no mode.
CONTENT 1.8




              Press for Review
WHAT IS THE MEAN OF THE FOLLOWING DATA
SET: 3,5,7,9,12,15?

 a) 8
 b) 7
 c) 8.5
 d) 5
 e) 9
WHAT IS THE MEDIAN OF THE FOLLOWING
DATA SET: 24,60,12,48,36?


a) 48
b) 12
c) 30
d) 15
e) 36
WHAT IS THE MODE OF THE FOLLOWING DATA
SET: 12, 4,8,12,15,25,18,12?

 a) 4
 b) 12
 c) 36
 d) 24
 e) 8
WHAT IS THE MEDIAN OF THE FOLLOWING
DATA SET: 4, 8,10,12,15,20


  a) 10
  b) 12
  c) 22
  d) 11
  e) 15
WHAT IS THE MODE OF THE FOLLOWING DATA
SET: 8,12,15,13,16,19,20?


 a) There is no Mode.
 b) 13
 c) 28
 d) 14
 e) 20
YOUR RIGHT! WAY TO GO!
NOT QUITE! TRY AGAIN!

Weitere ähnliche Inhalte

Was ist angesagt?

Applications of mean ,mode & median
Applications of mean ,mode & medianApplications of mean ,mode & median
Applications of mean ,mode & medianAnagha Deshpande
 
Week 6 lecture_math_221_dec_2012
Week 6 lecture_math_221_dec_2012Week 6 lecture_math_221_dec_2012
Week 6 lecture_math_221_dec_2012Brent Heard
 
Measurement of central tendency
Measurement of central tendencyMeasurement of central tendency
Measurement of central tendencykalpanaG16
 
Machine Learning Clustering
Machine Learning ClusteringMachine Learning Clustering
Machine Learning ClusteringRupak Roy
 
Summary statistics
Summary statisticsSummary statistics
Summary statisticsRupak Roy
 
Machine Learning Decision Tree Algorithms
Machine Learning Decision Tree AlgorithmsMachine Learning Decision Tree Algorithms
Machine Learning Decision Tree AlgorithmsRupak Roy
 
Decision tree, softmax regression and ensemble methods in machine learning
Decision tree, softmax regression and ensemble methods in machine learningDecision tree, softmax regression and ensemble methods in machine learning
Decision tree, softmax regression and ensemble methods in machine learningAbhishek Vijayvargia
 
What makes a good decision tree?
What makes a good decision tree?What makes a good decision tree?
What makes a good decision tree?Rupak Roy
 
Measures of central tendency
Measures of central tendencyMeasures of central tendency
Measures of central tendencyDiksha Verma
 
Random Forest / Bootstrap Aggregation
Random Forest / Bootstrap AggregationRandom Forest / Bootstrap Aggregation
Random Forest / Bootstrap AggregationRupak Roy
 
Data Preparation with the help of Analytics Methodology
Data Preparation with the help of Analytics MethodologyData Preparation with the help of Analytics Methodology
Data Preparation with the help of Analytics MethodologyRupak Roy
 
Measures of central tendency mean
Measures of central tendency  meanMeasures of central tendency  mean
Measures of central tendency meansuncil0071
 
From decision trees to random forests
From decision trees to random forestsFrom decision trees to random forests
From decision trees to random forestsViet-Trung TRAN
 
Introduction to Some Tree based Learning Method
Introduction to Some Tree based Learning MethodIntroduction to Some Tree based Learning Method
Introduction to Some Tree based Learning MethodHonglin Yu
 
Introduction to Random Forest
Introduction to Random Forest Introduction to Random Forest
Introduction to Random Forest Rupak Roy
 
Statistics Notes
Statistics NotesStatistics Notes
Statistics NotesLeah Morgan
 
Mean, median, mode & range
Mean, median, mode & rangeMean, median, mode & range
Mean, median, mode & rangevlissaris
 
PPTS FOR 9th CLASS OF deviation in values of central tendency BY RAMBABU SI...
PPTS FOR  9th CLASS OF  deviation in values of central tendency BY RAMBABU SI...PPTS FOR  9th CLASS OF  deviation in values of central tendency BY RAMBABU SI...
PPTS FOR 9th CLASS OF deviation in values of central tendency BY RAMBABU SI...RAMBABU SIRIPURAPU
 

Was ist angesagt? (20)

Applications of mean ,mode & median
Applications of mean ,mode & medianApplications of mean ,mode & median
Applications of mean ,mode & median
 
Week 6 lecture_math_221_dec_2012
Week 6 lecture_math_221_dec_2012Week 6 lecture_math_221_dec_2012
Week 6 lecture_math_221_dec_2012
 
Measurement of central tendency
Measurement of central tendencyMeasurement of central tendency
Measurement of central tendency
 
Machine Learning Clustering
Machine Learning ClusteringMachine Learning Clustering
Machine Learning Clustering
 
Summary statistics
Summary statisticsSummary statistics
Summary statistics
 
Krupa rm
Krupa rmKrupa rm
Krupa rm
 
Machine Learning Decision Tree Algorithms
Machine Learning Decision Tree AlgorithmsMachine Learning Decision Tree Algorithms
Machine Learning Decision Tree Algorithms
 
Decision tree, softmax regression and ensemble methods in machine learning
Decision tree, softmax regression and ensemble methods in machine learningDecision tree, softmax regression and ensemble methods in machine learning
Decision tree, softmax regression and ensemble methods in machine learning
 
What makes a good decision tree?
What makes a good decision tree?What makes a good decision tree?
What makes a good decision tree?
 
Measures of central tendency
Measures of central tendencyMeasures of central tendency
Measures of central tendency
 
Random Forest / Bootstrap Aggregation
Random Forest / Bootstrap AggregationRandom Forest / Bootstrap Aggregation
Random Forest / Bootstrap Aggregation
 
Data Preparation with the help of Analytics Methodology
Data Preparation with the help of Analytics MethodologyData Preparation with the help of Analytics Methodology
Data Preparation with the help of Analytics Methodology
 
Measures of central tendency mean
Measures of central tendency  meanMeasures of central tendency  mean
Measures of central tendency mean
 
From decision trees to random forests
From decision trees to random forestsFrom decision trees to random forests
From decision trees to random forests
 
Fuzzy clustering of sentence
Fuzzy clustering of sentenceFuzzy clustering of sentence
Fuzzy clustering of sentence
 
Introduction to Some Tree based Learning Method
Introduction to Some Tree based Learning MethodIntroduction to Some Tree based Learning Method
Introduction to Some Tree based Learning Method
 
Introduction to Random Forest
Introduction to Random Forest Introduction to Random Forest
Introduction to Random Forest
 
Statistics Notes
Statistics NotesStatistics Notes
Statistics Notes
 
Mean, median, mode & range
Mean, median, mode & rangeMean, median, mode & range
Mean, median, mode & range
 
PPTS FOR 9th CLASS OF deviation in values of central tendency BY RAMBABU SI...
PPTS FOR  9th CLASS OF  deviation in values of central tendency BY RAMBABU SI...PPTS FOR  9th CLASS OF  deviation in values of central tendency BY RAMBABU SI...
PPTS FOR 9th CLASS OF deviation in values of central tendency BY RAMBABU SI...
 

Andere mochten auch

Probability Arunesh Chand Mankotia 2005
Probability   Arunesh Chand Mankotia 2005Probability   Arunesh Chand Mankotia 2005
Probability Arunesh Chand Mankotia 2005Consultonmic
 
Desk work 4
Desk work 4Desk work 4
Desk work 4ccooking
 
Continuous Random Variables
Continuous Random VariablesContinuous Random Variables
Continuous Random Variablesmathscontent
 
Continuous Random variable
Continuous Random variableContinuous Random variable
Continuous Random variableJay Patel
 
Probability distribution notes by Dr D K Madan and Dr Amit Manocha
Probability distribution notes by Dr D K Madan and Dr Amit ManochaProbability distribution notes by Dr D K Madan and Dr Amit Manocha
Probability distribution notes by Dr D K Madan and Dr Amit ManochaDinesh Madaan
 
Probability Density Functions
Probability Density FunctionsProbability Density Functions
Probability Density Functionsguestb86588
 
Lecture 18: Gaussian Mixture Models and Expectation Maximization
Lecture 18: Gaussian Mixture Models and Expectation MaximizationLecture 18: Gaussian Mixture Models and Expectation Maximization
Lecture 18: Gaussian Mixture Models and Expectation Maximizationbutest
 
Chapter 07
Chapter 07Chapter 07
Chapter 07bmcfad01
 
Probability Density Function (PDF)
Probability Density Function (PDF)Probability Density Function (PDF)
Probability Density Function (PDF)AakankshaR
 
random variable and distribution
random variable and distributionrandom variable and distribution
random variable and distributionlovemucheca
 
Binomial and Poission Probablity distribution
Binomial and Poission Probablity distributionBinomial and Poission Probablity distribution
Binomial and Poission Probablity distributionPrateek Singla
 
Introduction to random variables
Introduction to random variablesIntroduction to random variables
Introduction to random variablesHadley Wickham
 
Binomial probability distributions ppt
Binomial probability distributions pptBinomial probability distributions ppt
Binomial probability distributions pptTayab Ali
 
Probability Distributions
Probability DistributionsProbability Distributions
Probability Distributionsrishi.indian
 
Discrete Probability Distributions
Discrete Probability DistributionsDiscrete Probability Distributions
Discrete Probability Distributionsmandalina landy
 
Normal Probability Distribution
Normal Probability DistributionNormal Probability Distribution
Normal Probability Distributionmandalina landy
 
Basic Concept Of Probability
Basic Concept Of ProbabilityBasic Concept Of Probability
Basic Concept Of Probabilityguest45a926
 

Andere mochten auch (19)

Probability Arunesh Chand Mankotia 2005
Probability   Arunesh Chand Mankotia 2005Probability   Arunesh Chand Mankotia 2005
Probability Arunesh Chand Mankotia 2005
 
Desk work 4
Desk work 4Desk work 4
Desk work 4
 
Continuous Random Variables
Continuous Random VariablesContinuous Random Variables
Continuous Random Variables
 
GMM
GMMGMM
GMM
 
Continuous Random variable
Continuous Random variableContinuous Random variable
Continuous Random variable
 
Probability distribution notes by Dr D K Madan and Dr Amit Manocha
Probability distribution notes by Dr D K Madan and Dr Amit ManochaProbability distribution notes by Dr D K Madan and Dr Amit Manocha
Probability distribution notes by Dr D K Madan and Dr Amit Manocha
 
Probability Density Functions
Probability Density FunctionsProbability Density Functions
Probability Density Functions
 
Lecture 18: Gaussian Mixture Models and Expectation Maximization
Lecture 18: Gaussian Mixture Models and Expectation MaximizationLecture 18: Gaussian Mixture Models and Expectation Maximization
Lecture 18: Gaussian Mixture Models and Expectation Maximization
 
Chapter 07
Chapter 07Chapter 07
Chapter 07
 
Probability Density Function (PDF)
Probability Density Function (PDF)Probability Density Function (PDF)
Probability Density Function (PDF)
 
random variable and distribution
random variable and distributionrandom variable and distribution
random variable and distribution
 
Binomial and Poission Probablity distribution
Binomial and Poission Probablity distributionBinomial and Poission Probablity distribution
Binomial and Poission Probablity distribution
 
Introduction to random variables
Introduction to random variablesIntroduction to random variables
Introduction to random variables
 
Binomial probability distributions ppt
Binomial probability distributions pptBinomial probability distributions ppt
Binomial probability distributions ppt
 
Probability Distributions
Probability DistributionsProbability Distributions
Probability Distributions
 
Discrete Probability Distributions
Discrete Probability DistributionsDiscrete Probability Distributions
Discrete Probability Distributions
 
Normal Probability Distribution
Normal Probability DistributionNormal Probability Distribution
Normal Probability Distribution
 
Basic Concept Of Probability
Basic Concept Of ProbabilityBasic Concept Of Probability
Basic Concept Of Probability
 
Probability concept and Probability distribution
Probability concept and Probability distributionProbability concept and Probability distribution
Probability concept and Probability distribution
 

Ähnlich wie Sherri Collie

Measures of Central Tendency.ppt
Measures of Central Tendency.pptMeasures of Central Tendency.ppt
Measures of Central Tendency.pptAdamRayManlunas1
 
Stattistic ii - mode, median, mean
Stattistic ii - mode, median, meanStattistic ii - mode, median, mean
Stattistic ii - mode, median, meanamsy1224
 
Graphing Packet For Video
Graphing Packet For VideoGraphing Packet For Video
Graphing Packet For Videojrt004
 
Measures of Central Tendency Final.ppt
Measures of Central Tendency Final.pptMeasures of Central Tendency Final.ppt
Measures of Central Tendency Final.pptAdamManlunas
 
Measures of Central Tendency Final.ppt
Measures of Central Tendency Final.pptMeasures of Central Tendency Final.ppt
Measures of Central Tendency Final.pptAdamRayManlunas1
 
Analysing our results
Analysing our resultsAnalysing our results
Analysing our resultsgwsis
 
Measures of Central Tendency.pdf
Measures of Central Tendency.pdfMeasures of Central Tendency.pdf
Measures of Central Tendency.pdfDenogieCortes
 
A Brief Overview On Central Tendency.pptx
A Brief Overview On Central Tendency.pptxA Brief Overview On Central Tendency.pptx
A Brief Overview On Central Tendency.pptxCHIRANTANMONDAL2
 
Measures of central tendency
Measures of central tendencyMeasures of central tendency
Measures of central tendencyRichard Paulino
 
Mean median mode
Mean median modeMean median mode
Mean median modeE Hanes
 
Mean median mode
Mean median modeMean median mode
Mean median modeE Hanes
 
Beginners Statistics _ Final Review Week 13.pptx
Beginners Statistics _ Final Review Week 13.pptxBeginners Statistics _ Final Review Week 13.pptx
Beginners Statistics _ Final Review Week 13.pptxAbbyXiong
 
CABT Math 8 measures of central tendency and dispersion
CABT Math 8   measures of central tendency and dispersionCABT Math 8   measures of central tendency and dispersion
CABT Math 8 measures of central tendency and dispersionGilbert Joseph Abueg
 
3. Mean__Median__Mode__Range.ppt
3. Mean__Median__Mode__Range.ppt3. Mean__Median__Mode__Range.ppt
3. Mean__Median__Mode__Range.pptABDULRAUF411
 
Mean__Median__Mode__Range.ppt
Mean__Median__Mode__Range.pptMean__Median__Mode__Range.ppt
Mean__Median__Mode__Range.ppttrader33
 
DEMO LESSON PLAN.docx
DEMO LESSON PLAN.docxDEMO LESSON PLAN.docx
DEMO LESSON PLAN.docxChinGa7
 
Measures of central tendency ict integration
Measures of central tendency   ict integrationMeasures of central tendency   ict integration
Measures of central tendency ict integrationRichard Paulino
 

Ähnlich wie Sherri Collie (20)

Measures of Central Tendency.ppt
Measures of Central Tendency.pptMeasures of Central Tendency.ppt
Measures of Central Tendency.ppt
 
Stattistic ii - mode, median, mean
Stattistic ii - mode, median, meanStattistic ii - mode, median, mean
Stattistic ii - mode, median, mean
 
Graphing Packet For Video
Graphing Packet For VideoGraphing Packet For Video
Graphing Packet For Video
 
Measures of Central Tendency Final.ppt
Measures of Central Tendency Final.pptMeasures of Central Tendency Final.ppt
Measures of Central Tendency Final.ppt
 
Measures of Central Tendency Final.ppt
Measures of Central Tendency Final.pptMeasures of Central Tendency Final.ppt
Measures of Central Tendency Final.ppt
 
Analysing our results
Analysing our resultsAnalysing our results
Analysing our results
 
Statistics
StatisticsStatistics
Statistics
 
P5 ungrouped data
P5 ungrouped dataP5 ungrouped data
P5 ungrouped data
 
Measures of Central Tendency.pdf
Measures of Central Tendency.pdfMeasures of Central Tendency.pdf
Measures of Central Tendency.pdf
 
A Brief Overview On Central Tendency.pptx
A Brief Overview On Central Tendency.pptxA Brief Overview On Central Tendency.pptx
A Brief Overview On Central Tendency.pptx
 
Measures of central tendency
Measures of central tendencyMeasures of central tendency
Measures of central tendency
 
Mean median mode
Mean median modeMean median mode
Mean median mode
 
Mean median mode
Mean median modeMean median mode
Mean median mode
 
Beginners Statistics _ Final Review Week 13.pptx
Beginners Statistics _ Final Review Week 13.pptxBeginners Statistics _ Final Review Week 13.pptx
Beginners Statistics _ Final Review Week 13.pptx
 
CABT Math 8 measures of central tendency and dispersion
CABT Math 8   measures of central tendency and dispersionCABT Math 8   measures of central tendency and dispersion
CABT Math 8 measures of central tendency and dispersion
 
3. Mean__Median__Mode__Range.ppt
3. Mean__Median__Mode__Range.ppt3. Mean__Median__Mode__Range.ppt
3. Mean__Median__Mode__Range.ppt
 
Mean__Median__Mode__Range.ppt
Mean__Median__Mode__Range.pptMean__Median__Mode__Range.ppt
Mean__Median__Mode__Range.ppt
 
stat.ppt
stat.pptstat.ppt
stat.ppt
 
DEMO LESSON PLAN.docx
DEMO LESSON PLAN.docxDEMO LESSON PLAN.docx
DEMO LESSON PLAN.docx
 
Measures of central tendency ict integration
Measures of central tendency   ict integrationMeasures of central tendency   ict integration
Measures of central tendency ict integration
 

Kürzlich hochgeladen

Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphThiyagu K
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 
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
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptxVS Mahajan Coaching Centre
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Krashi Coaching
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionSafetyChain Software
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfchloefrazer622
 
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
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxiammrhaywood
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxmanuelaromero2013
 
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxRoyAbrique
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpinRaunakKeshri1
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13Steve Thomason
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104misteraugie
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformChameera Dedduwage
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdfssuser54595a
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxSayali Powar
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxpboyjonauth
 

Kürzlich hochgeladen (20)

Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot Graph
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
 
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
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory Inspection
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdf
 
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
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptx
 
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpin
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13
 
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptxINDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy Reform
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptx
 

Sherri Collie

  • 1. DATA PROBABILITY AND STATISTICS-GRADE 4 OBJECTIVE: USE MEAN, MEDIAN, AND MODE TO DESCRIBE A SET OF DATA. Created by: SHERRI COLLIE EDN 300-002 JULY 14, 2009
  • 2. CREDITS: PICTURES BY: GOOGLE AND POWERPOINT CONTENT AND CURRICULUM PROVIDED BY: WWW.YOUTUBE.COM WWW.YOURTEACHER.COM WWW.LEARNINGUPGRADE.COM CREATED BY: SHERRI COLLIE A MATH LESSON PLAN FOR FOURTH GRADERS
  • 4. CONTENT 1.1 WHAT ARE THEY? •MEAN •MEDIAN •MODE
  • 5. For more math tips CONTENT 1.2 press here! The Mean, Median, and Mode are summary statistics that help you describe a set of numbers in a data set.
  • 6. CONTENT 1.3 MEAN EXAMPLE  Data Set:  It is the average 7, 6,4,6,10,8,5,2  The sum of all numbers  = the sum of all the = 48 numbers in a set  Divide the sum by the divided by the total total of the numbers in number in that data set the data set. 48/8=6  The mean is 6
  • 7. CONTENT 1.4 MEDIAN: Data set • the value in the middle of the data set. 15, 24,49,8,50 Put them in order from lowest • half the numbers are to highest < or = to the median. 8,15,24,49,50 • half the numbers are Pick the middle value > or = to the median Median=24
  • 8. CONTENT 1.5 Data Set: 3,4,5,5,6,7,8,10 If your data set has an even amount of numbers, Your data set would have two middle values. Take the mean of these two values to get the median. Median=(5+6)=11 11/2=5.5 Median=5.5
  • 9. CONTENT 1.6  The Mode is the value which has the greatest frequency in the data set. Example Data Set: 3,4,5,5,6,7,8,10  The Mode of this Data Set is: 5
  • 10. CONTENT 1.7  If there are no repeating numbers in the data set, Example: Data Set: 3,5,7,9,12,15  There is no mode.
  • 11. CONTENT 1.8 Press for Review
  • 12. WHAT IS THE MEAN OF THE FOLLOWING DATA SET: 3,5,7,9,12,15? a) 8 b) 7 c) 8.5 d) 5 e) 9
  • 13. WHAT IS THE MEDIAN OF THE FOLLOWING DATA SET: 24,60,12,48,36? a) 48 b) 12 c) 30 d) 15 e) 36
  • 14. WHAT IS THE MODE OF THE FOLLOWING DATA SET: 12, 4,8,12,15,25,18,12? a) 4 b) 12 c) 36 d) 24 e) 8
  • 15. WHAT IS THE MEDIAN OF THE FOLLOWING DATA SET: 4, 8,10,12,15,20 a) 10 b) 12 c) 22 d) 11 e) 15
  • 16. WHAT IS THE MODE OF THE FOLLOWING DATA SET: 8,12,15,13,16,19,20? a) There is no Mode. b) 13 c) 28 d) 14 e) 20
  • 17. YOUR RIGHT! WAY TO GO!
  • 18. NOT QUITE! TRY AGAIN!