SlideShare a Scribd company logo
1 of 6
Download to read offline
Lesson 10
glencoe.com
Math Online
6.SP.3, 6.SP.5c
Lesson 10 Measures of Variation 39
Measures of Variation
SURVEYS Jamie asked her classmates how many
0 1 2 3 4 5
Glasses of
Water Consumed
Ă—
Ă—
Ă—
Ă—
Ă—
Ă—
Ă—
Ă—
Ă—
Ă—
Ă—
Ă—
Ă—
Ă—
Ă— Ă—
glasses of water they drink on a typical day.
1. What is the median of the data set?
2. Organize the data into two groups: the top
half and the bottom half. How many data
values are in each group?
3. What is the median of each group?
4. Find the difference between the two numbers from Exercise 3.
Measures of variation are used to describe the distribution of the data.
The range is the difference between the greatest and least data values.
Quartiles are values that divide the data set into four equal parts.
LQ median UQ
0, 0, 0, 1, 1, 1, 1, 2, 2, 2, 2, 3, 4, 5, 5, 5
⎧
⎨
⎩
⎧
⎨
⎩
The median of the lower
half of a set of data is
the lower quartile or
LQ; in this case, 1.
The median of the upper
half of a set of data is
the upper quartile or
UQ; in this case, 3.5.
One fourth of the data lie below the lower quartile and one fourth of
the data lie above the upper quartile. So, one half of the data lie
between the lower quartile and upper quartile. This is called the
interquartile range.
Measures of Variation
Upper and Lower Quartiles
The upper and lower quartiles are the medians of the upper half and
lower half of a set of data, respectively.
14, 18, 19, 20, 24, 29, 31
lower quartile median upper quartile
Interquartile Range
The range of the middle half of the data. It is the difference between
the upper quartile and the lower quartile; in this case, 29 - 18, or 11.
The interquartile range is 29 - 18, or 11.
Range
The difference between the greatest and least data values; in this case,
31 - 14, or 17.
Main Idea
Find the measures of
variation of a set of
data.
New Vocabulary
measures of variation
range
quartile
lower quartile
upper quartile
interquartile range
outlier
Find Measures of Variation
SPEED Find the measures
of variation for the data.
Range 70 - 1 or 69 mph
Quartiles
Order the numbers from
least to greatest.
lower half median upper half
⎧
⎨
⎩
1 8 25 30 50 70
⎧
⎨
⎩
LQ
25 + 30_
2
= 27.5 UQ
Interquartile Range 50 - 8 or 42 UQ - LQ
The range is 69, the median is 27.5, the lower quartile is 8, the
upper quartile is 50, and the interquartile range is 42.
a. SPORTS Determine the measures
Basketball Scores
64 61 67 59 60
58 57 71 56 62of variation for the data in the table.
An outlier is a data value that is either much greater or much less than
the median. If a data value is more than 1.5 times the value of the
interquartile range beyond the quartiles, it is an outlier.
Find Outliers
ELECTIONS The ages of candidates in an election are 23, 48, 49, 55,
57, 63, and 72. Name any outliers in the data.
Find the interquartile range.
63 - 48 = 15
Multiply the interquartile range by 1.5.
15 Ă— 1.5 = 22.5
Subtract 22.5 from the lower quartile and add 22.5 to the upper
quartile.
48 - 22.5 = 25.5 63 + 22.5 = 85.5
The limits for the outliers are between 25.5 and 85.5. The only age
beyond this is 23. So, it is the only outlier.
b. BRIDGES The lengths, in feet, of various bridges are 88, 251, 275,
354, and 1,121. Name any outliers in the data set.
Animal Speeds
50
30
25
8
1
70
elephant
mouse
spider
cheetah
lion
cat
Speed (mph)Animal
⎧
⎨
⎩
Interquartile RangeInterquartile Range If the
interquartile range is low,
the middle data are
grouped closely together.
Analyze Data
SCIENCE The table shows a set of scores on a Room
A
Room
B
72 63
100 93
67 79
84 83
65 98
78 87
92 73
87 81
80 65
science test in two different classrooms. Compare
and contrast their measures of variation.
Find the measures of variation for both rooms.
Room A Room B
Range 100 - 65 = 35 98 - 63 = 35
Median 80 81
UQ
87 + 92_
2
= 89.5
87 + 93_
2
= 90
LQ
67 + 72_
2
= 69.5
65 + 73_
2
= 69
Interquartile
Range
89.5 - 69.5 = 20 90 - 69 = 21
Both classrooms have a range of 35, but Room B has an interquartile
range of 21 while Room A’s interquartile range is 20. There are slight
differences in the medians as well as the upper and lower quartiles.
c. WEATHER Temperatures for the
Month
Antelope,
MT
Augusta,
ME
January 21 28
February 30 32
March 42 41
April 58 53
May 70 66
June 79 75
first half of the year are given
for Antelope, Montana, and
Augusta, Maine. Compare and
contrast the measures of
variation of the two cities.
Examples 1 and 2 1. WIND SPEED The average wind
speeds for several cities in
Pennsylvania are given in the table.
a. Find the range of the data.
b. Find the median and the lower and
upper quartiles.
c. Find the interquartile range.
d. Identify any outliers in the data.
Example 3 2. TREES The heights of several types of
palm trees, in feet, are 40, 25, 15, 22, 50,
and 30. The heights of several types of
pine trees, in feet, are 60, 75, 45, 80, 75, and 70. Compare and contrast
the measures of variation of both kinds of trees.
Wind Speed
Pennsylvania City
Speed
(mph)
Allentown
Erie
Harrisburg
Middletown
Philadelphia
Pittsburgh
Williamsport
8.9
11.0
7.5
7.7
9.5
9.0
7.6
Examples 1 and 2 3. GOLF COURSES The table shows the number Number of Golf Courses
California 1,117
Florida 1,465
Georgia 513
Iowa 437
Michigan 1,038
New York 954
North Carolina 650
Ohio 893
South Carolina 456
Texas 1,018
of golf courses in various states.
a. Find the range of the data.
b. Find the median and the lower and upper
quartiles.
c. Find the interquartile range.
d. Name any outliers in the data.
4. INTERNET The table shows the countries Millions of Internet Users
China 99.8
Germany 41.88
India 36.97
Japan 78.05
South Korea 31.67
United Kingdom 33.11
United States 185.55
with the most Internet users.
a. Find the range of the data.
b. Find the median and the lower and upper
quartiles.
c. Find the interquartile range.
d. Name any outliers in the data.
Example 3 5. EXERCISE The table shows the number Minutes of Exercise
Week 1 Week 2
Tanika 45 30
Tasha 40 55
Tyrone 45 35
Uniqua 55 60
Videl 60 45
Wesley 90 75
of minutes of exercise for each person.
Compare and contrast the measures of
variation for both weeks.
6. FOOTBALL The table Penalties By NFL Teams
NFC AFC
Dallas Cowboys 104 New England Patriots 78
Arizona Cardinals 137 Indianapolis Colts 67
Green Bay Packers 113 Jacksonville Jaguars 76
New Orleans Saints 68 San Diego Chargers 94
New York Giants 77 Cleveland Browns 114
Seattle Seahawks 59 Pittsburgh Steelers 80
Minnesota Vikings 86 Houston Texans 82
shows the top teams
in the National Football
Conference (NFC) and
the American Football
Conference (AFC).
a. Which conference had
a greater range of
penalties?
b. Find the measures of
variation for each conference.
c. Compare and contrast the measures of variation for each conference.
Lesson 10 Measures of Variation 43
For each data set, find the median, the lower and upper quartiles, and the
interquartile range.
7. daily attendance at the water park: 346, 250, 433, 369, 422, 298
8. texts per day: 24, 53, 38, 12, 31, 19, 26
9. cost of admission: $13.95, $24.59, $19.99, $29.98, $23.95, $28.99
B 10. SCIENCE The table shows the number of Known Moons of Planets
Mercury 0 Jupiter 63
Venus 0 Saturn 34
Earth 1 Uranus 27
Mars 2 Neptune 13
known moons for each planet in our solar
system. Use the measures of variation to
describe the data.
11. EXERCISE Lucy and Dena are training for a bike race and recorded their
mileage for a week. Find the measures of variation of each person’s
mileage. Which measures of variation show the girls’ similarities in their
training? the differences? Explain.
Monday Tuesday Wednesday Thursday Friday Saturday Sunday
Lucy 7 mi 3 mi 5 mi 8 mi 6 mi 10 mi 9 mi
Dena 6 mi 4 mi 6 mi 8 mi 11 mi 9 mi 7 mi
C 12. FIND THE ERROR Hiroshi was finding the measures of variation of the
following set of data: 89, 93, 99, 110, 128, 135, 144, 152, and 159. Find his
mistake and correct it.
median = 128
lower quartile = 99
upper quartile = 144
interquartile range = 45
range = 70
13. OPEN ENDED Create a list of data with at least six numbers that has an
interquartile range of 15 and two outliers.
14. WRITE MATH Explain why the median is not affected by very high
or very low values in the data.
Test PracticeT
44 Domain: Statistics and Probability
15. The number of games won by 10 chess
players is given.
13, 15, 2, 7, 5, 9, 11, 10, 12, 11
Which of the following statements is
NOT supported by these data?
A. Half of the players won more than
10.5 games and half won less than
10.5 games.
B. The range of the data is 13 games.
C. There are no outliers.
D. One fourth of the players won more
than 7 games.
16. SHORT RESPONSE The ages in
months of dogs enrolled in obedience
class are: 8, 12, 20, 10, 6, 15, 12, 9, and 10.
Find the range, median, lower and
upper quartiles, and interquartile range
of the dogs’ ages.
17. The normal monthly rainfall in inches
for a city are given in the table.
Jan Feb Mar Apr May June
0.65 1.39 0.63 2.16 2.82 4.21
July Aug Sept Oct Nov Dec
3.22 1.20 9.31 11.25 0.70 0.80
What values, if any, are outliers?
F. 9.31 only
G. 11.25 only
H. both 9.31 and 11.25
I. There are no outliers.
18. Which of the following sets of data has
an interquartile range of 10?
A. 3, 4, 9, 16, 17, 24, 31
B. 41, 43, 49, 49, 50, 53, 55
C. 12, 14, 17, 19, 19, 20, 21
D. 55, 56, 56, 57, 58, 59, 62

More Related Content

What's hot

How to Prove and Apply De Morgan's Laws
How to Prove and Apply De Morgan's LawsHow to Prove and Apply De Morgan's Laws
How to Prove and Apply De Morgan's LawsDon Sevcik
 
Function and Its Types.
Function and Its Types.Function and Its Types.
Function and Its Types.Awais Bakshy
 
Graphing quadratic equations
Graphing quadratic equationsGraphing quadratic equations
Graphing quadratic equationsswartzje
 
Identifying universal, equal and equivalent sets,
Identifying universal, equal and equivalent sets,Identifying universal, equal and equivalent sets,
Identifying universal, equal and equivalent sets,MartinGeraldine
 
MIDTERM EXAM IN GENERAL MATHEMATICS.pptx
MIDTERM EXAM IN GENERAL MATHEMATICS.pptxMIDTERM EXAM IN GENERAL MATHEMATICS.pptx
MIDTERM EXAM IN GENERAL MATHEMATICS.pptxAlfredIntong2
 
Measures of relative position
Measures of relative positionMeasures of relative position
Measures of relative positionAbdul Aleem
 
Rational functions
Rational functionsRational functions
Rational functions20kat06tha
 
Measures of central tendency (ungrouped data)
Measures of central tendency (ungrouped data)Measures of central tendency (ungrouped data)
Measures of central tendency (ungrouped data)LilianneSoriano
 
Synthetic Division Notes
Synthetic Division NotesSynthetic Division Notes
Synthetic Division Notescmorgancavo
 
quartiles,deciles,percentiles.ppt
quartiles,deciles,percentiles.pptquartiles,deciles,percentiles.ppt
quartiles,deciles,percentiles.pptSyedSaifUrRehman3
 
QUARTILE AND DECILE OF GROUPED DATA
QUARTILE AND DECILE OF GROUPED DATAQUARTILE AND DECILE OF GROUPED DATA
QUARTILE AND DECILE OF GROUPED DATAJENNYROSEDALIGDIG1
 
Normal curve
Normal curveNormal curve
Normal curveLori Rapp
 
2.2 Set Operations
2.2 Set Operations2.2 Set Operations
2.2 Set Operationsshowslidedump
 
Union & Intersection of Sets
Union & Intersection of SetsUnion & Intersection of Sets
Union & Intersection of Setsmyla gambalan
 
SIM ON CONVERSION OF LENGTH MEASUREMENT
SIM ON CONVERSION OF LENGTH MEASUREMENTSIM ON CONVERSION OF LENGTH MEASUREMENT
SIM ON CONVERSION OF LENGTH MEASUREMENTErnie Samson
 

What's hot (20)

How to Prove and Apply De Morgan's Laws
How to Prove and Apply De Morgan's LawsHow to Prove and Apply De Morgan's Laws
How to Prove and Apply De Morgan's Laws
 
Function and Its Types.
Function and Its Types.Function and Its Types.
Function and Its Types.
 
Graphing quadratic equations
Graphing quadratic equationsGraphing quadratic equations
Graphing quadratic equations
 
Identifying universal, equal and equivalent sets,
Identifying universal, equal and equivalent sets,Identifying universal, equal and equivalent sets,
Identifying universal, equal and equivalent sets,
 
MIDTERM EXAM IN GENERAL MATHEMATICS.pptx
MIDTERM EXAM IN GENERAL MATHEMATICS.pptxMIDTERM EXAM IN GENERAL MATHEMATICS.pptx
MIDTERM EXAM IN GENERAL MATHEMATICS.pptx
 
Functions
FunctionsFunctions
Functions
 
Measures of relative position
Measures of relative positionMeasures of relative position
Measures of relative position
 
Rational functions
Rational functionsRational functions
Rational functions
 
Measures of central tendency (ungrouped data)
Measures of central tendency (ungrouped data)Measures of central tendency (ungrouped data)
Measures of central tendency (ungrouped data)
 
Synthetic Division Notes
Synthetic Division NotesSynthetic Division Notes
Synthetic Division Notes
 
Quartile
QuartileQuartile
Quartile
 
quartiles,deciles,percentiles.ppt
quartiles,deciles,percentiles.pptquartiles,deciles,percentiles.ppt
quartiles,deciles,percentiles.ppt
 
QUARTILE AND DECILE OF GROUPED DATA
QUARTILE AND DECILE OF GROUPED DATAQUARTILE AND DECILE OF GROUPED DATA
QUARTILE AND DECILE OF GROUPED DATA
 
Normal curve
Normal curveNormal curve
Normal curve
 
Mean for Grouped Data
Mean for Grouped DataMean for Grouped Data
Mean for Grouped Data
 
2.2 Set Operations
2.2 Set Operations2.2 Set Operations
2.2 Set Operations
 
Union & Intersection of Sets
Union & Intersection of SetsUnion & Intersection of Sets
Union & Intersection of Sets
 
Rational Expressions
Rational ExpressionsRational Expressions
Rational Expressions
 
SIM ON CONVERSION OF LENGTH MEASUREMENT
SIM ON CONVERSION OF LENGTH MEASUREMENTSIM ON CONVERSION OF LENGTH MEASUREMENT
SIM ON CONVERSION OF LENGTH MEASUREMENT
 
Absolute Value
Absolute ValueAbsolute Value
Absolute Value
 

Similar to Measures of variation discuss 2.1

Chapter 8 Measure of Dispersion of Data
Chapter 8 Measure of Dispersion of DataChapter 8 Measure of Dispersion of Data
Chapter 8 Measure of Dispersion of DataMISS ESTHER
 
Statistics (Measures of Dispersion)
Statistics (Measures of Dispersion)Statistics (Measures of Dispersion)
Statistics (Measures of Dispersion)Ron_Eick
 
Graphical presentation of data
Graphical presentation of dataGraphical presentation of data
Graphical presentation of dataprince irfan
 
Algebra unit 9.3
Algebra unit 9.3Algebra unit 9.3
Algebra unit 9.3Mark Ryder
 
Algebra unit 9.2
Algebra unit 9.2Algebra unit 9.2
Algebra unit 9.2Mark Ryder
 
First term notes 2020 econs ss2 1
First term notes 2020 econs ss2 1First term notes 2020 econs ss2 1
First term notes 2020 econs ss2 1OmotaraAkinsowon
 
Applied Math 40S March 12, 2008
Applied Math 40S March 12, 2008Applied Math 40S March 12, 2008
Applied Math 40S March 12, 2008Darren Kuropatwa
 
Statistics for math (English Version)
Statistics for math (English Version)Statistics for math (English Version)
Statistics for math (English Version)Tito_14
 
frequency distribution
 frequency distribution frequency distribution
frequency distributionUnsa Shakir
 
analytical representation of data
 analytical representation of data analytical representation of data
analytical representation of dataUnsa Shakir
 
Math unit18 measure of variation
Math unit18 measure of variationMath unit18 measure of variation
Math unit18 measure of variationeLearningJa
 
Freq & Histo
Freq & HistoFreq & Histo
Freq & Histokliegey524
 
1) Chapter#02 Presentation of Data.ppt
1) Chapter#02 Presentation of Data.ppt1) Chapter#02 Presentation of Data.ppt
1) Chapter#02 Presentation of Data.pptMuntazirMehdi43
 
Statistics Slides.pdf
Statistics Slides.pdfStatistics Slides.pdf
Statistics Slides.pdfYasirAli74993
 
Group 3 measures of central tendency and variation - (mean, median, mode, ra...
Group 3  measures of central tendency and variation - (mean, median, mode, ra...Group 3  measures of central tendency and variation - (mean, median, mode, ra...
Group 3 measures of central tendency and variation - (mean, median, mode, ra...reymartyvette_0611
 
Measures of Relative Standing and Boxplots
Measures of Relative Standing and BoxplotsMeasures of Relative Standing and Boxplots
Measures of Relative Standing and BoxplotsLong Beach City College
 

Similar to Measures of variation discuss 2.1 (20)

Chapter 8 Measure of Dispersion of Data
Chapter 8 Measure of Dispersion of DataChapter 8 Measure of Dispersion of Data
Chapter 8 Measure of Dispersion of Data
 
Statistics (Measures of Dispersion)
Statistics (Measures of Dispersion)Statistics (Measures of Dispersion)
Statistics (Measures of Dispersion)
 
Graphical presentation of data
Graphical presentation of dataGraphical presentation of data
Graphical presentation of data
 
Algebra unit 9.3
Algebra unit 9.3Algebra unit 9.3
Algebra unit 9.3
 
Algebra unit 9.2
Algebra unit 9.2Algebra unit 9.2
Algebra unit 9.2
 
First term notes 2020 econs ss2 1
First term notes 2020 econs ss2 1First term notes 2020 econs ss2 1
First term notes 2020 econs ss2 1
 
Applied Math 40S March 12, 2008
Applied Math 40S March 12, 2008Applied Math 40S March 12, 2008
Applied Math 40S March 12, 2008
 
Statistics for math (English Version)
Statistics for math (English Version)Statistics for math (English Version)
Statistics for math (English Version)
 
Lab 1 intro
Lab 1 introLab 1 intro
Lab 1 intro
 
Practice Test 1
Practice Test 1Practice Test 1
Practice Test 1
 
Chapter 3.2
Chapter 3.2Chapter 3.2
Chapter 3.2
 
frequency distribution
 frequency distribution frequency distribution
frequency distribution
 
analytical representation of data
 analytical representation of data analytical representation of data
analytical representation of data
 
Math unit18 measure of variation
Math unit18 measure of variationMath unit18 measure of variation
Math unit18 measure of variation
 
Freq & Histo
Freq & HistoFreq & Histo
Freq & Histo
 
Practice test1 solution
Practice test1 solutionPractice test1 solution
Practice test1 solution
 
1) Chapter#02 Presentation of Data.ppt
1) Chapter#02 Presentation of Data.ppt1) Chapter#02 Presentation of Data.ppt
1) Chapter#02 Presentation of Data.ppt
 
Statistics Slides.pdf
Statistics Slides.pdfStatistics Slides.pdf
Statistics Slides.pdf
 
Group 3 measures of central tendency and variation - (mean, median, mode, ra...
Group 3  measures of central tendency and variation - (mean, median, mode, ra...Group 3  measures of central tendency and variation - (mean, median, mode, ra...
Group 3 measures of central tendency and variation - (mean, median, mode, ra...
 
Measures of Relative Standing and Boxplots
Measures of Relative Standing and BoxplotsMeasures of Relative Standing and Boxplots
Measures of Relative Standing and Boxplots
 

More from Makati Science High School

Inferential stat tests samples discuss 4
Inferential stat tests samples discuss 4Inferential stat tests samples discuss 4
Inferential stat tests samples discuss 4Makati Science High School
 
Types of graphs and charts and their uses with examples and pics
Types of graphs and charts and their uses  with examples and picsTypes of graphs and charts and their uses  with examples and pics
Types of graphs and charts and their uses with examples and picsMakati Science High School
 
Research Designs -9 experimental Designs
Research Designs -9 experimental DesignsResearch Designs -9 experimental Designs
Research Designs -9 experimental DesignsMakati Science High School
 

More from Makati Science High School (20)

Writing a Scientific Paper
Writing a Scientific PaperWriting a Scientific Paper
Writing a Scientific Paper
 
Research Paper Rubrics 2020
Research Paper Rubrics 2020Research Paper Rubrics 2020
Research Paper Rubrics 2020
 
Statistical test discuss 5
Statistical test discuss 5Statistical test discuss 5
Statistical test discuss 5
 
Measures of dispersion discuss 2.2
Measures of dispersion discuss 2.2Measures of dispersion discuss 2.2
Measures of dispersion discuss 2.2
 
Materials and methods discuss
Materials and methods  discussMaterials and methods  discuss
Materials and methods discuss
 
Inferential stat tests samples discuss 4
Inferential stat tests samples discuss 4Inferential stat tests samples discuss 4
Inferential stat tests samples discuss 4
 
Ds vs Is discuss 3.1
Ds vs Is discuss 3.1Ds vs Is discuss 3.1
Ds vs Is discuss 3.1
 
Descriptive inferential-discuss 1
Descriptive  inferential-discuss 1Descriptive  inferential-discuss 1
Descriptive inferential-discuss 1
 
Central tendency m,m,m 1.2
Central tendency m,m,m 1.2Central tendency m,m,m 1.2
Central tendency m,m,m 1.2
 
Central tendency discuss 2
Central tendency  discuss 2Central tendency  discuss 2
Central tendency discuss 2
 
Types of graphs and charts and their uses with examples and pics
Types of graphs and charts and their uses  with examples and picsTypes of graphs and charts and their uses  with examples and pics
Types of graphs and charts and their uses with examples and pics
 
Levels of measurement discuss
Levels of measurement   discussLevels of measurement   discuss
Levels of measurement discuss
 
Gantt chart discuss 3
Gantt chart discuss 3Gantt chart discuss 3
Gantt chart discuss 3
 
Gantt chart discuss 2
Gantt chart discuss 2Gantt chart discuss 2
Gantt chart discuss 2
 
Gantt chart discuss 1
Gantt chart discuss 1Gantt chart discuss 1
Gantt chart discuss 1
 
Research Designs -9 experimental Designs
Research Designs -9 experimental DesignsResearch Designs -9 experimental Designs
Research Designs -9 experimental Designs
 
Research designs Pt 1
Research designs Pt 1Research designs Pt 1
Research designs Pt 1
 
Identifying variables
Identifying variablesIdentifying variables
Identifying variables
 
Kinds and classifications of research
Kinds and classifications of researchKinds and classifications of research
Kinds and classifications of research
 
Research Ethical Issues
Research Ethical IssuesResearch Ethical Issues
Research Ethical Issues
 

Recently uploaded

Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designMIPLM
 
DATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersDATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersSabitha Banu
 
Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Jisc
 
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Celine George
 
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...Postal Advocate Inc.
 
ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4MiaBumagat1
 
Gas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxGas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxDr.Ibrahim Hassaan
 
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdfAMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdfphamnguyenenglishnb
 
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)lakshayb543
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPCeline George
 
Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Mark Reed
 
Science 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptxScience 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptxMaryGraceBautista27
 
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfLike-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfMr Bounab Samir
 
Proudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxProudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxthorishapillay1
 
Choosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for ParentsChoosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for Parentsnavabharathschool99
 
How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17Celine George
 

Recently uploaded (20)

Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-design
 
DATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersDATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginners
 
Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...
 
OS-operating systems- ch04 (Threads) ...
OS-operating systems- ch04 (Threads) ...OS-operating systems- ch04 (Threads) ...
OS-operating systems- ch04 (Threads) ...
 
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
 
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
 
ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4
 
Gas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxGas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptx
 
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdfAMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
 
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
 
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptxLEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERP
 
Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)
 
Science 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptxScience 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptx
 
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfLike-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
 
Proudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxProudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptx
 
Choosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for ParentsChoosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for Parents
 
How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17
 
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptxYOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
 

Measures of variation discuss 2.1

  • 1. Lesson 10 glencoe.com Math Online 6.SP.3, 6.SP.5c Lesson 10 Measures of Variation 39 Measures of Variation SURVEYS Jamie asked her classmates how many 0 1 2 3 4 5 Glasses of Water Consumed Ă— Ă— Ă— Ă— Ă— Ă— Ă— Ă— Ă— Ă— Ă— Ă— Ă— Ă— Ă— Ă— glasses of water they drink on a typical day. 1. What is the median of the data set? 2. Organize the data into two groups: the top half and the bottom half. How many data values are in each group? 3. What is the median of each group? 4. Find the difference between the two numbers from Exercise 3. Measures of variation are used to describe the distribution of the data. The range is the difference between the greatest and least data values. Quartiles are values that divide the data set into four equal parts. LQ median UQ 0, 0, 0, 1, 1, 1, 1, 2, 2, 2, 2, 3, 4, 5, 5, 5 ⎧ ⎨ ⎩ ⎧ ⎨ ⎩ The median of the lower half of a set of data is the lower quartile or LQ; in this case, 1. The median of the upper half of a set of data is the upper quartile or UQ; in this case, 3.5. One fourth of the data lie below the lower quartile and one fourth of the data lie above the upper quartile. So, one half of the data lie between the lower quartile and upper quartile. This is called the interquartile range. Measures of Variation Upper and Lower Quartiles The upper and lower quartiles are the medians of the upper half and lower half of a set of data, respectively. 14, 18, 19, 20, 24, 29, 31 lower quartile median upper quartile Interquartile Range The range of the middle half of the data. It is the difference between the upper quartile and the lower quartile; in this case, 29 - 18, or 11. The interquartile range is 29 - 18, or 11. Range The difference between the greatest and least data values; in this case, 31 - 14, or 17. Main Idea Find the measures of variation of a set of data. New Vocabulary measures of variation range quartile lower quartile upper quartile interquartile range outlier
  • 2. Find Measures of Variation SPEED Find the measures of variation for the data. Range 70 - 1 or 69 mph Quartiles Order the numbers from least to greatest. lower half median upper half ⎧ ⎨ ⎩ 1 8 25 30 50 70 ⎧ ⎨ ⎩ LQ 25 + 30_ 2 = 27.5 UQ Interquartile Range 50 - 8 or 42 UQ - LQ The range is 69, the median is 27.5, the lower quartile is 8, the upper quartile is 50, and the interquartile range is 42. a. SPORTS Determine the measures Basketball Scores 64 61 67 59 60 58 57 71 56 62of variation for the data in the table. An outlier is a data value that is either much greater or much less than the median. If a data value is more than 1.5 times the value of the interquartile range beyond the quartiles, it is an outlier. Find Outliers ELECTIONS The ages of candidates in an election are 23, 48, 49, 55, 57, 63, and 72. Name any outliers in the data. Find the interquartile range. 63 - 48 = 15 Multiply the interquartile range by 1.5. 15 Ă— 1.5 = 22.5 Subtract 22.5 from the lower quartile and add 22.5 to the upper quartile. 48 - 22.5 = 25.5 63 + 22.5 = 85.5 The limits for the outliers are between 25.5 and 85.5. The only age beyond this is 23. So, it is the only outlier. b. BRIDGES The lengths, in feet, of various bridges are 88, 251, 275, 354, and 1,121. Name any outliers in the data set. Animal Speeds 50 30 25 8 1 70 elephant mouse spider cheetah lion cat Speed (mph)Animal ⎧ ⎨ ⎩ Interquartile RangeInterquartile Range If the interquartile range is low, the middle data are grouped closely together.
  • 3. Analyze Data SCIENCE The table shows a set of scores on a Room A Room B 72 63 100 93 67 79 84 83 65 98 78 87 92 73 87 81 80 65 science test in two different classrooms. Compare and contrast their measures of variation. Find the measures of variation for both rooms. Room A Room B Range 100 - 65 = 35 98 - 63 = 35 Median 80 81 UQ 87 + 92_ 2 = 89.5 87 + 93_ 2 = 90 LQ 67 + 72_ 2 = 69.5 65 + 73_ 2 = 69 Interquartile Range 89.5 - 69.5 = 20 90 - 69 = 21 Both classrooms have a range of 35, but Room B has an interquartile range of 21 while Room A’s interquartile range is 20. There are slight differences in the medians as well as the upper and lower quartiles. c. WEATHER Temperatures for the Month Antelope, MT Augusta, ME January 21 28 February 30 32 March 42 41 April 58 53 May 70 66 June 79 75 first half of the year are given for Antelope, Montana, and Augusta, Maine. Compare and contrast the measures of variation of the two cities. Examples 1 and 2 1. WIND SPEED The average wind speeds for several cities in Pennsylvania are given in the table. a. Find the range of the data. b. Find the median and the lower and upper quartiles. c. Find the interquartile range. d. Identify any outliers in the data. Example 3 2. TREES The heights of several types of palm trees, in feet, are 40, 25, 15, 22, 50, and 30. The heights of several types of pine trees, in feet, are 60, 75, 45, 80, 75, and 70. Compare and contrast the measures of variation of both kinds of trees. Wind Speed Pennsylvania City Speed (mph) Allentown Erie Harrisburg Middletown Philadelphia Pittsburgh Williamsport 8.9 11.0 7.5 7.7 9.5 9.0 7.6
  • 4. Examples 1 and 2 3. GOLF COURSES The table shows the number Number of Golf Courses California 1,117 Florida 1,465 Georgia 513 Iowa 437 Michigan 1,038 New York 954 North Carolina 650 Ohio 893 South Carolina 456 Texas 1,018 of golf courses in various states. a. Find the range of the data. b. Find the median and the lower and upper quartiles. c. Find the interquartile range. d. Name any outliers in the data. 4. INTERNET The table shows the countries Millions of Internet Users China 99.8 Germany 41.88 India 36.97 Japan 78.05 South Korea 31.67 United Kingdom 33.11 United States 185.55 with the most Internet users. a. Find the range of the data. b. Find the median and the lower and upper quartiles. c. Find the interquartile range. d. Name any outliers in the data. Example 3 5. EXERCISE The table shows the number Minutes of Exercise Week 1 Week 2 Tanika 45 30 Tasha 40 55 Tyrone 45 35 Uniqua 55 60 Videl 60 45 Wesley 90 75 of minutes of exercise for each person. Compare and contrast the measures of variation for both weeks. 6. FOOTBALL The table Penalties By NFL Teams NFC AFC Dallas Cowboys 104 New England Patriots 78 Arizona Cardinals 137 Indianapolis Colts 67 Green Bay Packers 113 Jacksonville Jaguars 76 New Orleans Saints 68 San Diego Chargers 94 New York Giants 77 Cleveland Browns 114 Seattle Seahawks 59 Pittsburgh Steelers 80 Minnesota Vikings 86 Houston Texans 82 shows the top teams in the National Football Conference (NFC) and the American Football Conference (AFC). a. Which conference had a greater range of penalties? b. Find the measures of variation for each conference. c. Compare and contrast the measures of variation for each conference.
  • 5. Lesson 10 Measures of Variation 43 For each data set, find the median, the lower and upper quartiles, and the interquartile range. 7. daily attendance at the water park: 346, 250, 433, 369, 422, 298 8. texts per day: 24, 53, 38, 12, 31, 19, 26 9. cost of admission: $13.95, $24.59, $19.99, $29.98, $23.95, $28.99 B 10. SCIENCE The table shows the number of Known Moons of Planets Mercury 0 Jupiter 63 Venus 0 Saturn 34 Earth 1 Uranus 27 Mars 2 Neptune 13 known moons for each planet in our solar system. Use the measures of variation to describe the data. 11. EXERCISE Lucy and Dena are training for a bike race and recorded their mileage for a week. Find the measures of variation of each person’s mileage. Which measures of variation show the girls’ similarities in their training? the differences? Explain. Monday Tuesday Wednesday Thursday Friday Saturday Sunday Lucy 7 mi 3 mi 5 mi 8 mi 6 mi 10 mi 9 mi Dena 6 mi 4 mi 6 mi 8 mi 11 mi 9 mi 7 mi C 12. FIND THE ERROR Hiroshi was finding the measures of variation of the following set of data: 89, 93, 99, 110, 128, 135, 144, 152, and 159. Find his mistake and correct it. median = 128 lower quartile = 99 upper quartile = 144 interquartile range = 45 range = 70 13. OPEN ENDED Create a list of data with at least six numbers that has an interquartile range of 15 and two outliers. 14. WRITE MATH Explain why the median is not affected by very high or very low values in the data.
  • 6. Test PracticeT 44 Domain: Statistics and Probability 15. The number of games won by 10 chess players is given. 13, 15, 2, 7, 5, 9, 11, 10, 12, 11 Which of the following statements is NOT supported by these data? A. Half of the players won more than 10.5 games and half won less than 10.5 games. B. The range of the data is 13 games. C. There are no outliers. D. One fourth of the players won more than 7 games. 16. SHORT RESPONSE The ages in months of dogs enrolled in obedience class are: 8, 12, 20, 10, 6, 15, 12, 9, and 10. Find the range, median, lower and upper quartiles, and interquartile range of the dogs’ ages. 17. The normal monthly rainfall in inches for a city are given in the table. Jan Feb Mar Apr May June 0.65 1.39 0.63 2.16 2.82 4.21 July Aug Sept Oct Nov Dec 3.22 1.20 9.31 11.25 0.70 0.80 What values, if any, are outliers? F. 9.31 only G. 11.25 only H. both 9.31 and 11.25 I. There are no outliers. 18. Which of the following sets of data has an interquartile range of 10? A. 3, 4, 9, 16, 17, 24, 31 B. 41, 43, 49, 49, 50, 53, 55 C. 12, 14, 17, 19, 19, 20, 21 D. 55, 56, 56, 57, 58, 59, 62