SlideShare a Scribd company logo
1 of 24
Download to read offline
3.1 - 1
Example 9: Miles Run
Class
Boundaries
Frequency
5.5 - 10.5
10.5 - 15.5
15.5 - 20.5
20.5 - 25.5
25.5 - 30.5
30.5 - 35.5
35.5 - 40.5
1
2
3
5
4
3
2
Below is a frequency distribution of the number of miles
run per week for a sample of individuals. Find the mean.
3.1 - 2
Example 9: Miles Run
Class
Boundaries
Frequency
5.5 - 10.5
10.5 - 15.5
15.5 - 20.5
20.5 - 25.5
25.5 - 30.5
30.5 - 35.5
35.5 - 40.5
1
2
3
5
4
3
2
Below is a frequency distribution of the number of miles
run per week for a sample of individuals. Find the mean.
( )f x
x
f
 


3.1 - 3
Example 9: Miles Run
Class
Boundaries
Frequency
5.5 - 10.5
10.5 - 15.5
15.5 - 20.5
20.5 - 25.5
25.5 - 30.5
30.5 - 35.5
35.5 - 40.5
1
2
3
5
4
3
2
Below is a frequency distribution of the number of miles
run per week for a sample of individuals. Find the mean.
( )f x
x
f
 


Sum the frequencies
3.1 - 4
Example 9: Miles Run
Class
Boundaries
Frequency
5.5 - 10.5
10.5 - 15.5
15.5 - 20.5
20.5 - 25.5
25.5 - 30.5
30.5 - 35.5
35.5 - 40.5
1
2
3
5
4
3
2
Below is a frequency distribution of the number of miles
run per week for a sample of individuals. Find the mean.
f = 20
( )f x
x
f
 


Sum the frequencies
3.1 - 5
Example 9: Continued
Class Frequency, f Midpoint, x
5.5 - 10.5
10.5 - 15.5
15.5 - 20.5
20.5 - 25.5
25.5 - 30.5
30.5 - 35.5
35.5 - 40.5
1
2
3
5
4
3
2
f = 20

 

f
xf
X
)( Midpoint
3.1 - 6
Example 9: Continued
Class Frequency, f Midpoint, x
5.5 - 10.5
10.5 - 15.5
15.5 - 20.5
20.5 - 25.5
25.5 - 30.5
30.5 - 35.5
35.5 - 40.5
1
2
3
5
4
3
2
( 5.5 +10.5)/2 = 8
f = 20

 

f
xf
X
)(
3.1 - 7
Example 9: Continued
Class Frequency, f Midpoint, x
5.5 - 10.5
10.5 - 15.5
15.5 - 20.5
20.5 - 25.5
25.5 - 30.5
30.5 - 35.5
35.5 - 40.5
1
2
3
5
4
3
2
( 5.5 +10.5)/2 = 8
(10.5+15.5)/2 = 13
f = 20

 

f
xf
X
)(
3.1 - 8
Example 9: Continued
Class Frequency, f Midpoint, x
5.5 - 10.5
10.5 - 15.5
15.5 - 20.5
20.5 - 25.5
25.5 - 30.5
30.5 - 35.5
35.5 - 40.5
1
2
3
5
4
3
2
( 5.5 +10.5)/2 = 8
(10.5+15.5)/2 = 13
(15.5+20.5)/2 = 18
f = 20

 

f
xf
X
)(
3.1 - 9
Example 9: Continued
Class Frequency, f Midpoint, x
5.5 - 10.5
10.5 - 15.5
15.5 - 20.5
20.5 - 25.5
25.5 - 30.5
30.5 - 35.5
35.5 - 40.5
1
2
3
5
4
3
2
( 5.5 +10.5)/2 = 8
(10.5+15.5)/2 = 13
(15.5+20.5)/2 = 18
(20.5+25.5)/2 = 23
f = 20

 

f
xf
X
)(
3.1 - 10
Example 9: Continued
Class Frequency, f Midpoint, x
5.5 - 10.5
10.5 - 15.5
15.5 - 20.5
20.5 - 25.5
25.5 - 30.5
30.5 - 35.5
35.5 - 40.5
1
2
3
5
4
3
2
( 5.5 +10.5)/2 = 8
(10.5+15.5)/2 = 13
(15.5+20.5)/2 = 18
(20.5+25.5)/2 = 23
(25.5+30.5)/2 = 28
f = 20

 

f
xf
X
)(
3.1 - 11
Example 9: Continued
Class Frequency, f Midpoint, x
5.5 - 10.5
10.5 - 15.5
15.5 - 20.5
20.5 - 25.5
25.5 - 30.5
30.5 - 35.5
35.5 - 40.5
1
2
3
5
4
3
2
( 5.5 +10.5)/2 = 8
(10.5+15.5)/2 = 13
(15.5+20.5)/2 = 18
(20.5+25.5)/2 = 23
(25.5+30.5)/2 = 28
(30.5+35.5)/2 = 33
f = 20

 

f
xf
X
)(
3.1 - 12
Example 9: Continued
Class Frequency, f Midpoint, x
5.5 - 10.5
10.5 - 15.5
15.5 - 20.5
20.5 - 25.5
25.5 - 30.5
30.5 - 35.5
35.5 - 40.5
1
2
3
5
4
3
2
( 5.5 +10.5)/2 = 8
(10.5+15.5)/2 = 13
(15.5+20.5)/2 = 18
(20.5+25.5)/2 = 23
(25.5+30.5)/2 = 28
(30.5+35.5)/2 = 33
(35.5+40.5)/2 = 38
f = 20

 

f
xf
X
)(
3.1 - 13
Example 9: Continued
Class Frequency, f Midpoint, x
5.5 - 10.5
10.5 - 15.5
15.5 - 20.5
20.5 - 25.5
25.5 - 30.5
30.5 - 35.5
35.5 - 40.5
1
2
3
5
4
3
2
( 5.5 +10.5)/2 = 8
(10.5+15.5)/2 = 13
(15.5+20.5)/2 = 18
(20.5+25.5)/2 = 23
(25.5+30.5)/2 = 28
(30.5+35.5)/2 = 33
(35.5+40.5)/2 = 38
f = 20
f ·x

 

f
xf
X
)( Multiply each
frequency by the
class midpoint
3.1 - 14
Example 9: Continued
Class Frequency, f Midpoint, x
5.5 - 10.5
10.5 - 15.5
15.5 - 20.5
20.5 - 25.5
25.5 - 30.5
30.5 - 35.5
35.5 - 40.5
1
2
3
5
4
3
2
( 5.5 +10.5)/2 = 8
(10.5+15.5)/2 = 13
(15.5+20.5)/2 = 18
(20.5+25.5)/2 = 23
(25.5+30.5)/2 = 28
(30.5+35.5)/2 = 33
(35.5+40.5)/2 = 38
f = 20
1×8 = 8
f ·x

 

f
xf
X
)(
3.1 - 15
Example 9: Continued
Class Frequency, f Midpoint, x
5.5 - 10.5
10.5 - 15.5
15.5 - 20.5
20.5 - 25.5
25.5 - 30.5
30.5 - 35.5
35.5 - 40.5
1
2
3
5
4
3
2
( 5.5 +10.5)/2 = 8
(10.5+15.5)/2 = 13
(15.5+20.5)/2 = 18
(20.5+25.5)/2 = 23
(25.5+30.5)/2 = 28
(30.5+35.5)/2 = 33
(35.5+40.5)/2 = 38
f = 20
1×8 = 8
2×12 = 26
f ·x

 

f
xf
X
)(
3.1 - 16
Example 9: Continued
Class Frequency, f Midpoint, x
5.5 - 10.5
10.5 - 15.5
15.5 - 20.5
20.5 - 25.5
25.5 - 30.5
30.5 - 35.5
35.5 - 40.5
1
2
3
5
4
3
2
( 5.5 +10.5)/2 = 8
(10.5+15.5)/2 = 13
(15.5+20.5)/2 = 18
(20.5+25.5)/2 = 23
(25.5+30.5)/2 = 28
(30.5+35.5)/2 = 33
(35.5+40.5)/2 = 38
f = 20
1×8 = 8
2×12 = 26
3×18 = 54
f ·x

 

f
xf
X
)(
3.1 - 17
Example 9: Continued
Class Frequency, f Midpoint, x
5.5 - 10.5
10.5 - 15.5
15.5 - 20.5
20.5 - 25.5
25.5 - 30.5
30.5 - 35.5
35.5 - 40.5
1
2
3
5
4
3
2
( 5.5 +10.5)/2 = 8
(10.5+15.5)/2 = 13
(15.5+20.5)/2 = 18
(20.5+25.5)/2 = 23
(25.5+30.5)/2 = 28
(30.5+35.5)/2 = 33
(35.5+40.5)/2 = 38
f = 20
1×8 = 8
2×12 = 26
3×18 = 54
5×23 = 115
f ·x

 

f
xf
X
)(
3.1 - 18
Example 9: Continued
Class Frequency, f Midpoint, x
5.5 - 10.5
10.5 - 15.5
15.5 - 20.5
20.5 - 25.5
25.5 - 30.5
30.5 - 35.5
35.5 - 40.5
1
2
3
5
4
3
2
( 5.5 +10.5)/2 = 8
(10.5+15.5)/2 = 13
(15.5+20.5)/2 = 18
(20.5+25.5)/2 = 23
(25.5+30.5)/2 = 28
(30.5+35.5)/2 = 33
(35.5+40.5)/2 = 38
f = 20
1×8 = 8
2×12 = 26
3×18 = 54
5×23 = 115
4×28 = 112
f ·x

 

f
xf
X
)(
3.1 - 19
Example 9: Continued
Class Frequency, f Midpoint, x
5.5 - 10.5
10.5 - 15.5
15.5 - 20.5
20.5 - 25.5
25.5 - 30.5
30.5 - 35.5
35.5 - 40.5
1
2
3
5
4
3
2
( 5.5 +10.5)/2 = 8
(10.5+15.5)/2 = 13
(15.5+20.5)/2 = 18
(20.5+25.5)/2 = 23
(25.5+30.5)/2 = 28
(30.5+35.5)/2 = 33
(35.5+40.5)/2 = 38
f = 20
1×8 = 8
2×12 = 26
3×18 = 54
5×23 = 115
4×28 = 112
3×33 = 99
f ·x

 

f
xf
X
)(
3.1 - 20
Example 9: Continued
Class Frequency, f Midpoint, x
5.5 - 10.5
10.5 - 15.5
15.5 - 20.5
20.5 - 25.5
25.5 - 30.5
30.5 - 35.5
35.5 - 40.5
1
2
3
5
4
3
2
( 5.5 +10.5)/2 = 8
(10.5+15.5)/2 = 13
(15.5+20.5)/2 = 18
(20.5+25.5)/2 = 23
(25.5+30.5)/2 = 28
(30.5+35.5)/2 = 33
(35.5+40.5)/2 = 38
f = 20
1×8 = 8
2×12 = 26
3×18 = 54
5×23 = 115
4×28 = 112
3×33 = 99
2×38 = 76
f ·x

 

f
xf
X
)(
3.1 - 21
Example 9: Continued
Class Frequency, f Midpoint, x
5.5 - 10.5
10.5 - 15.5
15.5 - 20.5
20.5 - 25.5
25.5 - 30.5
30.5 - 35.5
35.5 - 40.5
1
2
3
5
4
3
2
( 5.5 +10.5)/2 = 8
(10.5+15.5)/2 = 13
(15.5+20.5)/2 = 18
(20.5+25.5)/2 = 23
(25.5+30.5)/2 = 28
(30.5+35.5)/2 = 33
(35.5+40.5)/2 = 38
f = 20
1×8 = 8
2×12 = 26
3×18 = 54
5×23 = 115
4×28 = 112
3×33 = 99
2×38 = 76
f ·x

 

f
xf
X
)(
Sum the products
3.1 - 22
Example 9 Continued
Class Frequency, f Midpoint, x
5.5 - 10.5
10.5 - 15.5
15.5 - 20.5
20.5 - 25.5
25.5 - 30.5
30.5 - 35.5
35.5 - 40.5
1
2
3
5
4
3
2
( 5.5 +10.5)/2 = 8
(10.5+15.5)/2 = 13
(15.5+20.5)/2 = 18
(20.5+25.5)/2 = 23
(25.5+30.5)/2 = 28
(30.5+35.5)/2 = 33
(35.5+40.5)/2 = 38
f = 20
1×8 = 8
2×12 = 26
3×18 = 54
5×23 = 115
4×28 = 112
3×33 = 99
2×38 = 76
f ·x
 (f ·x) = 490

 

f
xf
X
)(
3.1 - 23
Example 9: Continued
Class Frequency, f Midpoint, x
5.5 - 10.5
10.5 - 15.5
15.5 - 20.5
20.5 - 25.5
25.5 - 30.5
30.5 - 35.5
35.5 - 40.5
1
2
3
5
4
3
2
( 5.5 +10.5)/2 = 8
(10.5+15.5)/2 = 13
(15.5+20.5)/2 = 18
(20.5+25.5)/2 = 23
(25.5+30.5)/2 = 28
(30.5+35.5)/2 = 33
(35.5+40.5)/2 = 38
f = 20
1×8 = 8
2×12 = 26
3×18 = 54
5×23 = 115
4×28 = 112
3×33 = 99
2×38 = 76
f ·x
 (f ·x) = 490
20
490)(





f
xf
X
3.1 - 24
Example 9: Continued
Class Frequency, f Midpoint, x
5.5 - 10.5
10.5 - 15.5
15.5 - 20.5
20.5 - 25.5
25.5 - 30.5
30.5 - 35.5
35.5 - 40.5
1
2
3
5
4
3
2
( 5.5 +10.5)/2 = 8
(10.5+15.5)/2 = 13
(15.5+20.5)/2 = 18
(20.5+25.5)/2 = 23
(25.5+30.5)/2 = 28
(30.5+35.5)/2 = 33
(35.5+40.5)/2 = 38
f = 20
1×8 = 8
2×12 = 26
3×18 = 54
5×23 = 115
4×28 = 112
3×33 = 99
2×38 = 76
f ·x
 (f ·x) = 490
5.24
20
490)(





f
xf
X miles

More Related Content

What's hot

Lesson 10 derivative of exponential functions
Lesson 10 derivative of exponential functionsLesson 10 derivative of exponential functions
Lesson 10 derivative of exponential functionsRnold Wilson
 
Jhs slm-1-q2-math-grade-10-32pages
Jhs slm-1-q2-math-grade-10-32pagesJhs slm-1-q2-math-grade-10-32pages
Jhs slm-1-q2-math-grade-10-32pagesFahadOdin
 
Quadratic Equations (Quadratic Formula) Using PowerPoint
Quadratic Equations (Quadratic Formula) Using PowerPointQuadratic Equations (Quadratic Formula) Using PowerPoint
Quadratic Equations (Quadratic Formula) Using PowerPointrichrollo
 
Lesson 1 INTRODUCTION TO FUNCTIONS
Lesson 1   INTRODUCTION TO FUNCTIONSLesson 1   INTRODUCTION TO FUNCTIONS
Lesson 1 INTRODUCTION TO FUNCTIONSLouiseLyn
 
Systems of equations substitution worksheet
Systems of equations substitution worksheetSystems of equations substitution worksheet
Systems of equations substitution worksheetEmShea14
 
183710439 friction-from-meriam-pdf
183710439 friction-from-meriam-pdf183710439 friction-from-meriam-pdf
183710439 friction-from-meriam-pdfJasim Almuhandis
 
Mean, variance, and standard deviation of a Discrete Random Variable
Mean, variance, and standard deviation of a Discrete Random VariableMean, variance, and standard deviation of a Discrete Random Variable
Mean, variance, and standard deviation of a Discrete Random VariableMichael Ogoy
 
Lecture 8 derivative rules
Lecture 8   derivative rulesLecture 8   derivative rules
Lecture 8 derivative rulesnjit-ronbrown
 
Equation of a Circle in standard and general form
Equation of  a Circle in standard and general formEquation of  a Circle in standard and general form
Equation of a Circle in standard and general formAraceliLynPalomillo
 
Mechanical engineer's manual(by. engr. yuri g. melliza)
Mechanical engineer's manual(by. engr. yuri g. melliza)Mechanical engineer's manual(by. engr. yuri g. melliza)
Mechanical engineer's manual(by. engr. yuri g. melliza)Yuri Melliza
 
Solution of matlab chapter 3
Solution of matlab chapter 3Solution of matlab chapter 3
Solution of matlab chapter 3AhsanIrshad8
 
Pre-Calculus 11 - Lesson no. 1: Conic Sections
Pre-Calculus 11 - Lesson no. 1: Conic SectionsPre-Calculus 11 - Lesson no. 1: Conic Sections
Pre-Calculus 11 - Lesson no. 1: Conic SectionsJuan Miguel Palero
 
Factor Theorem and Remainder Theorem
Factor Theorem and Remainder TheoremFactor Theorem and Remainder Theorem
Factor Theorem and Remainder TheoremRonalie Mejos
 
Basic concept of annuity
Basic concept of annuityBasic concept of annuity
Basic concept of annuityrey castro
 
Introduction to conic sections
Introduction to conic sectionsIntroduction to conic sections
Introduction to conic sectionsrey castro
 

What's hot (20)

Anschp23
Anschp23Anschp23
Anschp23
 
Lesson 11: The Chain Rule
Lesson 11: The Chain RuleLesson 11: The Chain Rule
Lesson 11: The Chain Rule
 
Lesson 10 derivative of exponential functions
Lesson 10 derivative of exponential functionsLesson 10 derivative of exponential functions
Lesson 10 derivative of exponential functions
 
Circle
CircleCircle
Circle
 
Inverse Functions
Inverse FunctionsInverse Functions
Inverse Functions
 
Jhs slm-1-q2-math-grade-10-32pages
Jhs slm-1-q2-math-grade-10-32pagesJhs slm-1-q2-math-grade-10-32pages
Jhs slm-1-q2-math-grade-10-32pages
 
Quadratic Equations (Quadratic Formula) Using PowerPoint
Quadratic Equations (Quadratic Formula) Using PowerPointQuadratic Equations (Quadratic Formula) Using PowerPoint
Quadratic Equations (Quadratic Formula) Using PowerPoint
 
Lesson 1 INTRODUCTION TO FUNCTIONS
Lesson 1   INTRODUCTION TO FUNCTIONSLesson 1   INTRODUCTION TO FUNCTIONS
Lesson 1 INTRODUCTION TO FUNCTIONS
 
Systems of equations substitution worksheet
Systems of equations substitution worksheetSystems of equations substitution worksheet
Systems of equations substitution worksheet
 
183710439 friction-from-meriam-pdf
183710439 friction-from-meriam-pdf183710439 friction-from-meriam-pdf
183710439 friction-from-meriam-pdf
 
common monomial factor
 common monomial factor common monomial factor
common monomial factor
 
Mean, variance, and standard deviation of a Discrete Random Variable
Mean, variance, and standard deviation of a Discrete Random VariableMean, variance, and standard deviation of a Discrete Random Variable
Mean, variance, and standard deviation of a Discrete Random Variable
 
Lecture 8 derivative rules
Lecture 8   derivative rulesLecture 8   derivative rules
Lecture 8 derivative rules
 
Equation of a Circle in standard and general form
Equation of  a Circle in standard and general formEquation of  a Circle in standard and general form
Equation of a Circle in standard and general form
 
Mechanical engineer's manual(by. engr. yuri g. melliza)
Mechanical engineer's manual(by. engr. yuri g. melliza)Mechanical engineer's manual(by. engr. yuri g. melliza)
Mechanical engineer's manual(by. engr. yuri g. melliza)
 
Solution of matlab chapter 3
Solution of matlab chapter 3Solution of matlab chapter 3
Solution of matlab chapter 3
 
Pre-Calculus 11 - Lesson no. 1: Conic Sections
Pre-Calculus 11 - Lesson no. 1: Conic SectionsPre-Calculus 11 - Lesson no. 1: Conic Sections
Pre-Calculus 11 - Lesson no. 1: Conic Sections
 
Factor Theorem and Remainder Theorem
Factor Theorem and Remainder TheoremFactor Theorem and Remainder Theorem
Factor Theorem and Remainder Theorem
 
Basic concept of annuity
Basic concept of annuityBasic concept of annuity
Basic concept of annuity
 
Introduction to conic sections
Introduction to conic sectionsIntroduction to conic sections
Introduction to conic sections
 

Viewers also liked

Weighted Mean - New Diet Cola
Weighted Mean - New Diet ColaWeighted Mean - New Diet Cola
Weighted Mean - New Diet Colaccooking
 
Weighted Mean - GPA
Weighted Mean - GPAWeighted Mean - GPA
Weighted Mean - GPAccooking
 
Weighted Mean - Class Average
Weighted Mean - Class AverageWeighted Mean - Class Average
Weighted Mean - Class Averageccooking
 
Population Standard Deviation
Population Standard DeviationPopulation Standard Deviation
Population Standard Deviationccooking
 
Relative frequency approximation Blood Types
Relative frequency approximation Blood TypesRelative frequency approximation Blood Types
Relative frequency approximation Blood Typesccooking
 
Mean of a discrete random variable.ppt
Mean of a discrete random variable.pptMean of a discrete random variable.ppt
Mean of a discrete random variable.pptccooking
 
Variance and standard deviation of a discrete random variable
Variance and standard deviation of a discrete random variableVariance and standard deviation of a discrete random variable
Variance and standard deviation of a discrete random variableccooking
 
Job satisfaction for teacher
Job satisfaction for teacherJob satisfaction for teacher
Job satisfaction for teacherMin Besh
 
Job Satisfaction Of Teachers
Job Satisfaction Of TeachersJob Satisfaction Of Teachers
Job Satisfaction Of Teachersguest5e0c7e
 
[32 37]a study of job satisfaction of secondary school teachers
[32 37]a study of job satisfaction of secondary school teachers[32 37]a study of job satisfaction of secondary school teachers
[32 37]a study of job satisfaction of secondary school teachersAlexander Decker
 
An Analytical Analysis on Weighted Average Cost of Capital
An Analytical Analysis on Weighted Average Cost of CapitalAn Analytical Analysis on Weighted Average Cost of Capital
An Analytical Analysis on Weighted Average Cost of CapitalRahmatullah Pashtoon
 
Job Satisfaction of School Teachers
Job Satisfaction of School TeachersJob Satisfaction of School Teachers
Job Satisfaction of School TeachersMurali Muthusamy
 
JOB SATISFACTION AMONG TEACHERS
JOB SATISFACTION AMONG TEACHERSJOB SATISFACTION AMONG TEACHERS
JOB SATISFACTION AMONG TEACHERSLeejo John
 
Job satisfaction of teachers in primary schools
Job satisfaction of teachers in primary schoolsJob satisfaction of teachers in primary schools
Job satisfaction of teachers in primary schoolsPRINTPOINT
 
Presentation on Index Number
Presentation on Index NumberPresentation on Index Number
Presentation on Index NumberAsraf Hossain
 
Chapter 03
Chapter 03Chapter 03
Chapter 03bmcfad01
 
Measuring the service quality in banking industry
Measuring the service quality in banking industryMeasuring the service quality in banking industry
Measuring the service quality in banking industrydjvegad
 
Data Analysis, Presentation and Interpretation of Data
Data Analysis, Presentation and Interpretation of DataData Analysis, Presentation and Interpretation of Data
Data Analysis, Presentation and Interpretation of DataRoqui Malijan
 

Viewers also liked (20)

Weighted Mean - New Diet Cola
Weighted Mean - New Diet ColaWeighted Mean - New Diet Cola
Weighted Mean - New Diet Cola
 
Weighted Mean - GPA
Weighted Mean - GPAWeighted Mean - GPA
Weighted Mean - GPA
 
Weighted Mean - Class Average
Weighted Mean - Class AverageWeighted Mean - Class Average
Weighted Mean - Class Average
 
Population Standard Deviation
Population Standard DeviationPopulation Standard Deviation
Population Standard Deviation
 
Relative frequency approximation Blood Types
Relative frequency approximation Blood TypesRelative frequency approximation Blood Types
Relative frequency approximation Blood Types
 
Mean of a discrete random variable.ppt
Mean of a discrete random variable.pptMean of a discrete random variable.ppt
Mean of a discrete random variable.ppt
 
Variance and standard deviation of a discrete random variable
Variance and standard deviation of a discrete random variableVariance and standard deviation of a discrete random variable
Variance and standard deviation of a discrete random variable
 
Job satisfaction for teacher
Job satisfaction for teacherJob satisfaction for teacher
Job satisfaction for teacher
 
12 job-satisfaction-and-teachers
12 job-satisfaction-and-teachers12 job-satisfaction-and-teachers
12 job-satisfaction-and-teachers
 
Job Satisfaction Of Teachers
Job Satisfaction Of TeachersJob Satisfaction Of Teachers
Job Satisfaction Of Teachers
 
[32 37]a study of job satisfaction of secondary school teachers
[32 37]a study of job satisfaction of secondary school teachers[32 37]a study of job satisfaction of secondary school teachers
[32 37]a study of job satisfaction of secondary school teachers
 
An Analytical Analysis on Weighted Average Cost of Capital
An Analytical Analysis on Weighted Average Cost of CapitalAn Analytical Analysis on Weighted Average Cost of Capital
An Analytical Analysis on Weighted Average Cost of Capital
 
Job Satisfaction of School Teachers
Job Satisfaction of School TeachersJob Satisfaction of School Teachers
Job Satisfaction of School Teachers
 
JOB SATISFACTION AMONG TEACHERS
JOB SATISFACTION AMONG TEACHERSJOB SATISFACTION AMONG TEACHERS
JOB SATISFACTION AMONG TEACHERS
 
Job satisfaction of teachers in primary schools
Job satisfaction of teachers in primary schoolsJob satisfaction of teachers in primary schools
Job satisfaction of teachers in primary schools
 
Presentation on Index Number
Presentation on Index NumberPresentation on Index Number
Presentation on Index Number
 
Chapter 03
Chapter 03Chapter 03
Chapter 03
 
Measuring the service quality in banking industry
Measuring the service quality in banking industryMeasuring the service quality in banking industry
Measuring the service quality in banking industry
 
Index Number
Index NumberIndex Number
Index Number
 
Data Analysis, Presentation and Interpretation of Data
Data Analysis, Presentation and Interpretation of DataData Analysis, Presentation and Interpretation of Data
Data Analysis, Presentation and Interpretation of Data
 

Similar to Calculating Mean Miles Run Weekly

7 วิชา ฟิสิกส์ the brain
7 วิชา ฟิสิกส์   the brain7 วิชา ฟิสิกส์   the brain
7 วิชา ฟิสิกส์ the brainHiran Vayakk
 
เลขยกกำลังชุด 2
เลขยกกำลังชุด 2เลขยกกำลังชุด 2
เลขยกกำลังชุด 2kanjana2536
 
Statistics Assignment
Statistics AssignmentStatistics Assignment
Statistics AssignmentMishal Roy
 
Unidad 2 ejercicios frecuencia1
Unidad 2 ejercicios frecuencia1Unidad 2 ejercicios frecuencia1
Unidad 2 ejercicios frecuencia1AralysRodriguez
 
System dynamics 3rd edition palm solutions manual
System dynamics 3rd edition palm solutions manualSystem dynamics 3rd edition palm solutions manual
System dynamics 3rd edition palm solutions manualSextonMales
 
Quantitative techniques for MBA (QDM)
Quantitative techniques for MBA (QDM)Quantitative techniques for MBA (QDM)
Quantitative techniques for MBA (QDM)npazare
 
Solutions manual for business math 10th edition by cleaves
Solutions manual for business math 10th edition by cleavesSolutions manual for business math 10th edition by cleaves
Solutions manual for business math 10th edition by cleavesCooKi5472
 
Solutions_Manual_to_accompany_Applied_Nu.pdf
Solutions_Manual_to_accompany_Applied_Nu.pdfSolutions_Manual_to_accompany_Applied_Nu.pdf
Solutions_Manual_to_accompany_Applied_Nu.pdfWaleedHussain30
 
CLASS 10 MEAN MEDIAN MODE
CLASS 10 MEAN MEDIAN MODECLASS 10 MEAN MEDIAN MODE
CLASS 10 MEAN MEDIAN MODEAKBAR1961
 
Boas mathematical methods in the physical sciences 3ed instructors solutions...
Boas  mathematical methods in the physical sciences 3ed instructors solutions...Boas  mathematical methods in the physical sciences 3ed instructors solutions...
Boas mathematical methods in the physical sciences 3ed instructors solutions...Praveen Prashant
 
Complete solutions-mathematical-methods-in-the-physical-sciences-3rd-edition
Complete solutions-mathematical-methods-in-the-physical-sciences-3rd-editionComplete solutions-mathematical-methods-in-the-physical-sciences-3rd-edition
Complete solutions-mathematical-methods-in-the-physical-sciences-3rd-editionAba Dula
 
Calculus 10th edition anton solutions manual
Calculus 10th edition anton solutions manualCalculus 10th edition anton solutions manual
Calculus 10th edition anton solutions manualReece1334
 

Similar to Calculating Mean Miles Run Weekly (20)

7 วิชา ฟิสิกส์ the brain
7 วิชา ฟิสิกส์   the brain7 วิชา ฟิสิกส์   the brain
7 วิชา ฟิสิกส์ the brain
 
เลขยกกำลังชุด 2
เลขยกกำลังชุด 2เลขยกกำลังชุด 2
เลขยกกำลังชุด 2
 
4
44
4
 
Describing Data: Numerical Measures
Describing Data: Numerical MeasuresDescribing Data: Numerical Measures
Describing Data: Numerical Measures
 
Statistics Assignment
Statistics AssignmentStatistics Assignment
Statistics Assignment
 
Unidad 2 ejercicios frecuencia1
Unidad 2 ejercicios frecuencia1Unidad 2 ejercicios frecuencia1
Unidad 2 ejercicios frecuencia1
 
System dynamics 3rd edition palm solutions manual
System dynamics 3rd edition palm solutions manualSystem dynamics 3rd edition palm solutions manual
System dynamics 3rd edition palm solutions manual
 
Quantitative techniques for MBA (QDM)
Quantitative techniques for MBA (QDM)Quantitative techniques for MBA (QDM)
Quantitative techniques for MBA (QDM)
 
Solutions manual for business math 10th edition by cleaves
Solutions manual for business math 10th edition by cleavesSolutions manual for business math 10th edition by cleaves
Solutions manual for business math 10th edition by cleaves
 
Solutions_Manual_to_accompany_Applied_Nu.pdf
Solutions_Manual_to_accompany_Applied_Nu.pdfSolutions_Manual_to_accompany_Applied_Nu.pdf
Solutions_Manual_to_accompany_Applied_Nu.pdf
 
CLASS 10 MEAN MEDIAN MODE
CLASS 10 MEAN MEDIAN MODECLASS 10 MEAN MEDIAN MODE
CLASS 10 MEAN MEDIAN MODE
 
Arithmetic mean
Arithmetic meanArithmetic mean
Arithmetic mean
 
Boas mathematical methods in the physical sciences 3ed instructors solutions...
Boas  mathematical methods in the physical sciences 3ed instructors solutions...Boas  mathematical methods in the physical sciences 3ed instructors solutions...
Boas mathematical methods in the physical sciences 3ed instructors solutions...
 
Complete solutions-mathematical-methods-in-the-physical-sciences-3rd-edition
Complete solutions-mathematical-methods-in-the-physical-sciences-3rd-editionComplete solutions-mathematical-methods-in-the-physical-sciences-3rd-edition
Complete solutions-mathematical-methods-in-the-physical-sciences-3rd-edition
 
Calculus 10th edition anton solutions manual
Calculus 10th edition anton solutions manualCalculus 10th edition anton solutions manual
Calculus 10th edition anton solutions manual
 
Tugas blog-matematika
Tugas blog-matematikaTugas blog-matematika
Tugas blog-matematika
 
S3 pn
S3 pnS3 pn
S3 pn
 
Trabajo práctico
Trabajo prácticoTrabajo práctico
Trabajo práctico
 
Trabajo práctico cd
Trabajo práctico cdTrabajo práctico cd
Trabajo práctico cd
 
Math
MathMath
Math
 

More from ccooking

Module 8 desk work 3
Module 8 desk work 3Module 8 desk work 3
Module 8 desk work 3ccooking
 
Desk work 4
Desk work 4Desk work 4
Desk work 4ccooking
 
Sample Standard Deviation - Desk Work 8
Sample Standard Deviation - Desk Work 8Sample Standard Deviation - Desk Work 8
Sample Standard Deviation - Desk Work 8ccooking
 
Population Standard Deviation - Desk Work 7
Population Standard Deviation - Desk Work 7Population Standard Deviation - Desk Work 7
Population Standard Deviation - Desk Work 7ccooking
 
Weighted Mean - Class Average (Desk Work 6)
Weighted Mean - Class Average (Desk Work 6)Weighted Mean - Class Average (Desk Work 6)
Weighted Mean - Class Average (Desk Work 6)ccooking
 
Weighted Mean - Helicopter Costs
Weighted Mean - Helicopter CostsWeighted Mean - Helicopter Costs
Weighted Mean - Helicopter Costsccooking
 

More from ccooking (6)

Module 8 desk work 3
Module 8 desk work 3Module 8 desk work 3
Module 8 desk work 3
 
Desk work 4
Desk work 4Desk work 4
Desk work 4
 
Sample Standard Deviation - Desk Work 8
Sample Standard Deviation - Desk Work 8Sample Standard Deviation - Desk Work 8
Sample Standard Deviation - Desk Work 8
 
Population Standard Deviation - Desk Work 7
Population Standard Deviation - Desk Work 7Population Standard Deviation - Desk Work 7
Population Standard Deviation - Desk Work 7
 
Weighted Mean - Class Average (Desk Work 6)
Weighted Mean - Class Average (Desk Work 6)Weighted Mean - Class Average (Desk Work 6)
Weighted Mean - Class Average (Desk Work 6)
 
Weighted Mean - Helicopter Costs
Weighted Mean - Helicopter CostsWeighted Mean - Helicopter Costs
Weighted Mean - Helicopter Costs
 

Recently uploaded

How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17Celine George
 
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
 
Science lesson Moon for 4th quarter lesson
Science lesson Moon for 4th quarter lessonScience lesson Moon for 4th quarter lesson
Science lesson Moon for 4th quarter lessonJericReyAuditor
 
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
 
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfEnzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfSumit Tiwari
 
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxEPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxRaymartEstabillo3
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application ) Sakshi Ghasle
 
Painted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of IndiaPainted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of IndiaVirag Sontakke
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Celine George
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 
Blooming Together_ Growing a Community Garden Worksheet.docx
Blooming Together_ Growing a Community Garden Worksheet.docxBlooming Together_ Growing a Community Garden Worksheet.docx
Blooming Together_ Growing a Community Garden Worksheet.docxUnboundStockton
 
Class 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfClass 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfakmcokerachita
 
Science 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its CharacteristicsScience 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its CharacteristicsKarinaGenton
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentInMediaRes1
 
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
 

Recently uploaded (20)

How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17
 
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
 
Science lesson Moon for 4th quarter lesson
Science lesson Moon for 4th quarter lessonScience lesson Moon for 4th quarter lesson
Science lesson Moon for 4th quarter lesson
 
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...
 
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfEnzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
 
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxEPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
 
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🔝
 
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
 
9953330565 Low Rate Call Girls In Rohini Delhi NCR
9953330565 Low Rate Call Girls In Rohini  Delhi NCR9953330565 Low Rate Call Girls In Rohini  Delhi NCR
9953330565 Low Rate Call Girls In Rohini Delhi NCR
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application )
 
Painted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of IndiaPainted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of India
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
Blooming Together_ Growing a Community Garden Worksheet.docx
Blooming Together_ Growing a Community Garden Worksheet.docxBlooming Together_ Growing a Community Garden Worksheet.docx
Blooming Together_ Growing a Community Garden Worksheet.docx
 
Class 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfClass 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdf
 
Science 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its CharacteristicsScience 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its Characteristics
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media Component
 
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
 

Calculating Mean Miles Run Weekly

  • 1. 3.1 - 1 Example 9: Miles Run Class Boundaries Frequency 5.5 - 10.5 10.5 - 15.5 15.5 - 20.5 20.5 - 25.5 25.5 - 30.5 30.5 - 35.5 35.5 - 40.5 1 2 3 5 4 3 2 Below is a frequency distribution of the number of miles run per week for a sample of individuals. Find the mean.
  • 2. 3.1 - 2 Example 9: Miles Run Class Boundaries Frequency 5.5 - 10.5 10.5 - 15.5 15.5 - 20.5 20.5 - 25.5 25.5 - 30.5 30.5 - 35.5 35.5 - 40.5 1 2 3 5 4 3 2 Below is a frequency distribution of the number of miles run per week for a sample of individuals. Find the mean. ( )f x x f    
  • 3. 3.1 - 3 Example 9: Miles Run Class Boundaries Frequency 5.5 - 10.5 10.5 - 15.5 15.5 - 20.5 20.5 - 25.5 25.5 - 30.5 30.5 - 35.5 35.5 - 40.5 1 2 3 5 4 3 2 Below is a frequency distribution of the number of miles run per week for a sample of individuals. Find the mean. ( )f x x f     Sum the frequencies
  • 4. 3.1 - 4 Example 9: Miles Run Class Boundaries Frequency 5.5 - 10.5 10.5 - 15.5 15.5 - 20.5 20.5 - 25.5 25.5 - 30.5 30.5 - 35.5 35.5 - 40.5 1 2 3 5 4 3 2 Below is a frequency distribution of the number of miles run per week for a sample of individuals. Find the mean. f = 20 ( )f x x f     Sum the frequencies
  • 5. 3.1 - 5 Example 9: Continued Class Frequency, f Midpoint, x 5.5 - 10.5 10.5 - 15.5 15.5 - 20.5 20.5 - 25.5 25.5 - 30.5 30.5 - 35.5 35.5 - 40.5 1 2 3 5 4 3 2 f = 20     f xf X )( Midpoint
  • 6. 3.1 - 6 Example 9: Continued Class Frequency, f Midpoint, x 5.5 - 10.5 10.5 - 15.5 15.5 - 20.5 20.5 - 25.5 25.5 - 30.5 30.5 - 35.5 35.5 - 40.5 1 2 3 5 4 3 2 ( 5.5 +10.5)/2 = 8 f = 20     f xf X )(
  • 7. 3.1 - 7 Example 9: Continued Class Frequency, f Midpoint, x 5.5 - 10.5 10.5 - 15.5 15.5 - 20.5 20.5 - 25.5 25.5 - 30.5 30.5 - 35.5 35.5 - 40.5 1 2 3 5 4 3 2 ( 5.5 +10.5)/2 = 8 (10.5+15.5)/2 = 13 f = 20     f xf X )(
  • 8. 3.1 - 8 Example 9: Continued Class Frequency, f Midpoint, x 5.5 - 10.5 10.5 - 15.5 15.5 - 20.5 20.5 - 25.5 25.5 - 30.5 30.5 - 35.5 35.5 - 40.5 1 2 3 5 4 3 2 ( 5.5 +10.5)/2 = 8 (10.5+15.5)/2 = 13 (15.5+20.5)/2 = 18 f = 20     f xf X )(
  • 9. 3.1 - 9 Example 9: Continued Class Frequency, f Midpoint, x 5.5 - 10.5 10.5 - 15.5 15.5 - 20.5 20.5 - 25.5 25.5 - 30.5 30.5 - 35.5 35.5 - 40.5 1 2 3 5 4 3 2 ( 5.5 +10.5)/2 = 8 (10.5+15.5)/2 = 13 (15.5+20.5)/2 = 18 (20.5+25.5)/2 = 23 f = 20     f xf X )(
  • 10. 3.1 - 10 Example 9: Continued Class Frequency, f Midpoint, x 5.5 - 10.5 10.5 - 15.5 15.5 - 20.5 20.5 - 25.5 25.5 - 30.5 30.5 - 35.5 35.5 - 40.5 1 2 3 5 4 3 2 ( 5.5 +10.5)/2 = 8 (10.5+15.5)/2 = 13 (15.5+20.5)/2 = 18 (20.5+25.5)/2 = 23 (25.5+30.5)/2 = 28 f = 20     f xf X )(
  • 11. 3.1 - 11 Example 9: Continued Class Frequency, f Midpoint, x 5.5 - 10.5 10.5 - 15.5 15.5 - 20.5 20.5 - 25.5 25.5 - 30.5 30.5 - 35.5 35.5 - 40.5 1 2 3 5 4 3 2 ( 5.5 +10.5)/2 = 8 (10.5+15.5)/2 = 13 (15.5+20.5)/2 = 18 (20.5+25.5)/2 = 23 (25.5+30.5)/2 = 28 (30.5+35.5)/2 = 33 f = 20     f xf X )(
  • 12. 3.1 - 12 Example 9: Continued Class Frequency, f Midpoint, x 5.5 - 10.5 10.5 - 15.5 15.5 - 20.5 20.5 - 25.5 25.5 - 30.5 30.5 - 35.5 35.5 - 40.5 1 2 3 5 4 3 2 ( 5.5 +10.5)/2 = 8 (10.5+15.5)/2 = 13 (15.5+20.5)/2 = 18 (20.5+25.5)/2 = 23 (25.5+30.5)/2 = 28 (30.5+35.5)/2 = 33 (35.5+40.5)/2 = 38 f = 20     f xf X )(
  • 13. 3.1 - 13 Example 9: Continued Class Frequency, f Midpoint, x 5.5 - 10.5 10.5 - 15.5 15.5 - 20.5 20.5 - 25.5 25.5 - 30.5 30.5 - 35.5 35.5 - 40.5 1 2 3 5 4 3 2 ( 5.5 +10.5)/2 = 8 (10.5+15.5)/2 = 13 (15.5+20.5)/2 = 18 (20.5+25.5)/2 = 23 (25.5+30.5)/2 = 28 (30.5+35.5)/2 = 33 (35.5+40.5)/2 = 38 f = 20 f ·x     f xf X )( Multiply each frequency by the class midpoint
  • 14. 3.1 - 14 Example 9: Continued Class Frequency, f Midpoint, x 5.5 - 10.5 10.5 - 15.5 15.5 - 20.5 20.5 - 25.5 25.5 - 30.5 30.5 - 35.5 35.5 - 40.5 1 2 3 5 4 3 2 ( 5.5 +10.5)/2 = 8 (10.5+15.5)/2 = 13 (15.5+20.5)/2 = 18 (20.5+25.5)/2 = 23 (25.5+30.5)/2 = 28 (30.5+35.5)/2 = 33 (35.5+40.5)/2 = 38 f = 20 1×8 = 8 f ·x     f xf X )(
  • 15. 3.1 - 15 Example 9: Continued Class Frequency, f Midpoint, x 5.5 - 10.5 10.5 - 15.5 15.5 - 20.5 20.5 - 25.5 25.5 - 30.5 30.5 - 35.5 35.5 - 40.5 1 2 3 5 4 3 2 ( 5.5 +10.5)/2 = 8 (10.5+15.5)/2 = 13 (15.5+20.5)/2 = 18 (20.5+25.5)/2 = 23 (25.5+30.5)/2 = 28 (30.5+35.5)/2 = 33 (35.5+40.5)/2 = 38 f = 20 1×8 = 8 2×12 = 26 f ·x     f xf X )(
  • 16. 3.1 - 16 Example 9: Continued Class Frequency, f Midpoint, x 5.5 - 10.5 10.5 - 15.5 15.5 - 20.5 20.5 - 25.5 25.5 - 30.5 30.5 - 35.5 35.5 - 40.5 1 2 3 5 4 3 2 ( 5.5 +10.5)/2 = 8 (10.5+15.5)/2 = 13 (15.5+20.5)/2 = 18 (20.5+25.5)/2 = 23 (25.5+30.5)/2 = 28 (30.5+35.5)/2 = 33 (35.5+40.5)/2 = 38 f = 20 1×8 = 8 2×12 = 26 3×18 = 54 f ·x     f xf X )(
  • 17. 3.1 - 17 Example 9: Continued Class Frequency, f Midpoint, x 5.5 - 10.5 10.5 - 15.5 15.5 - 20.5 20.5 - 25.5 25.5 - 30.5 30.5 - 35.5 35.5 - 40.5 1 2 3 5 4 3 2 ( 5.5 +10.5)/2 = 8 (10.5+15.5)/2 = 13 (15.5+20.5)/2 = 18 (20.5+25.5)/2 = 23 (25.5+30.5)/2 = 28 (30.5+35.5)/2 = 33 (35.5+40.5)/2 = 38 f = 20 1×8 = 8 2×12 = 26 3×18 = 54 5×23 = 115 f ·x     f xf X )(
  • 18. 3.1 - 18 Example 9: Continued Class Frequency, f Midpoint, x 5.5 - 10.5 10.5 - 15.5 15.5 - 20.5 20.5 - 25.5 25.5 - 30.5 30.5 - 35.5 35.5 - 40.5 1 2 3 5 4 3 2 ( 5.5 +10.5)/2 = 8 (10.5+15.5)/2 = 13 (15.5+20.5)/2 = 18 (20.5+25.5)/2 = 23 (25.5+30.5)/2 = 28 (30.5+35.5)/2 = 33 (35.5+40.5)/2 = 38 f = 20 1×8 = 8 2×12 = 26 3×18 = 54 5×23 = 115 4×28 = 112 f ·x     f xf X )(
  • 19. 3.1 - 19 Example 9: Continued Class Frequency, f Midpoint, x 5.5 - 10.5 10.5 - 15.5 15.5 - 20.5 20.5 - 25.5 25.5 - 30.5 30.5 - 35.5 35.5 - 40.5 1 2 3 5 4 3 2 ( 5.5 +10.5)/2 = 8 (10.5+15.5)/2 = 13 (15.5+20.5)/2 = 18 (20.5+25.5)/2 = 23 (25.5+30.5)/2 = 28 (30.5+35.5)/2 = 33 (35.5+40.5)/2 = 38 f = 20 1×8 = 8 2×12 = 26 3×18 = 54 5×23 = 115 4×28 = 112 3×33 = 99 f ·x     f xf X )(
  • 20. 3.1 - 20 Example 9: Continued Class Frequency, f Midpoint, x 5.5 - 10.5 10.5 - 15.5 15.5 - 20.5 20.5 - 25.5 25.5 - 30.5 30.5 - 35.5 35.5 - 40.5 1 2 3 5 4 3 2 ( 5.5 +10.5)/2 = 8 (10.5+15.5)/2 = 13 (15.5+20.5)/2 = 18 (20.5+25.5)/2 = 23 (25.5+30.5)/2 = 28 (30.5+35.5)/2 = 33 (35.5+40.5)/2 = 38 f = 20 1×8 = 8 2×12 = 26 3×18 = 54 5×23 = 115 4×28 = 112 3×33 = 99 2×38 = 76 f ·x     f xf X )(
  • 21. 3.1 - 21 Example 9: Continued Class Frequency, f Midpoint, x 5.5 - 10.5 10.5 - 15.5 15.5 - 20.5 20.5 - 25.5 25.5 - 30.5 30.5 - 35.5 35.5 - 40.5 1 2 3 5 4 3 2 ( 5.5 +10.5)/2 = 8 (10.5+15.5)/2 = 13 (15.5+20.5)/2 = 18 (20.5+25.5)/2 = 23 (25.5+30.5)/2 = 28 (30.5+35.5)/2 = 33 (35.5+40.5)/2 = 38 f = 20 1×8 = 8 2×12 = 26 3×18 = 54 5×23 = 115 4×28 = 112 3×33 = 99 2×38 = 76 f ·x     f xf X )( Sum the products
  • 22. 3.1 - 22 Example 9 Continued Class Frequency, f Midpoint, x 5.5 - 10.5 10.5 - 15.5 15.5 - 20.5 20.5 - 25.5 25.5 - 30.5 30.5 - 35.5 35.5 - 40.5 1 2 3 5 4 3 2 ( 5.5 +10.5)/2 = 8 (10.5+15.5)/2 = 13 (15.5+20.5)/2 = 18 (20.5+25.5)/2 = 23 (25.5+30.5)/2 = 28 (30.5+35.5)/2 = 33 (35.5+40.5)/2 = 38 f = 20 1×8 = 8 2×12 = 26 3×18 = 54 5×23 = 115 4×28 = 112 3×33 = 99 2×38 = 76 f ·x  (f ·x) = 490     f xf X )(
  • 23. 3.1 - 23 Example 9: Continued Class Frequency, f Midpoint, x 5.5 - 10.5 10.5 - 15.5 15.5 - 20.5 20.5 - 25.5 25.5 - 30.5 30.5 - 35.5 35.5 - 40.5 1 2 3 5 4 3 2 ( 5.5 +10.5)/2 = 8 (10.5+15.5)/2 = 13 (15.5+20.5)/2 = 18 (20.5+25.5)/2 = 23 (25.5+30.5)/2 = 28 (30.5+35.5)/2 = 33 (35.5+40.5)/2 = 38 f = 20 1×8 = 8 2×12 = 26 3×18 = 54 5×23 = 115 4×28 = 112 3×33 = 99 2×38 = 76 f ·x  (f ·x) = 490 20 490)(      f xf X
  • 24. 3.1 - 24 Example 9: Continued Class Frequency, f Midpoint, x 5.5 - 10.5 10.5 - 15.5 15.5 - 20.5 20.5 - 25.5 25.5 - 30.5 30.5 - 35.5 35.5 - 40.5 1 2 3 5 4 3 2 ( 5.5 +10.5)/2 = 8 (10.5+15.5)/2 = 13 (15.5+20.5)/2 = 18 (20.5+25.5)/2 = 23 (25.5+30.5)/2 = 28 (30.5+35.5)/2 = 33 (35.5+40.5)/2 = 38 f = 20 1×8 = 8 2×12 = 26 3×18 = 54 5×23 = 115 4×28 = 112 3×33 = 99 2×38 = 76 f ·x  (f ·x) = 490 5.24 20 490)(      f xf X miles