SlideShare a Scribd company logo
11/12/13 Algebra 1 Warm-up 5.1a

NOTES 5.1 & 5.2
FUNCTIONS:
ORDERED PAIRS,
FUNCTION RULES,
AND GRAPHS
Textbook Pgs. 249-260
Vocabulary

Example 1: Real-life relation:
Hours
$ Earned

2
14

5
35



Write as a set of ordered pairs



Identify the domain and range



Graph the data



Write a rule

7
49

8
56
Example 2: Use an equation

Example 3: Function or Not?


Month
Rain
(in)

2
14

5
5

7
0

8
0

11
12
Example 4: Write a function
rule


Do you see a pattern?
Think about… how much is y changing compared to
x? Is y always a certain amount bigger or smaller?



Use a table:



Use a graph:
Ex 5: Write a word prob. as a
function


You plan to attend up to 5 art lessons that cost
$12 each.
 Independent

Variable?
 Dependent Variable?


Write the amount you will spend as a function
of the number of lessons you will attend.
(Function Rule):
 Domain?
 Range?
Example 6: Analyze a graph


0
1
2
3
4

0.95
1.28
2.27
1.76
2.18

* Explain how you
know that the graph
represents a function

* Describe any trend
in the data
Essential Questions:


More Related Content

Viewers also liked

Aji amarillo camba
Aji amarillo cambaAji amarillo camba
Aji amarillo camba
luisalbertotorrez
 
7 Email Subject Line Templates to Get Your Emails Opened
7 Email Subject Line Templates to Get Your Emails Opened7 Email Subject Line Templates to Get Your Emails Opened
7 Email Subject Line Templates to Get Your Emails Opened
Email Delivered
 
Software engineering
Software engineeringSoftware engineering
Software engineering
anamikadewangan
 
Emerson Migration Services
Emerson Migration ServicesEmerson Migration Services
Emerson Migration Services
Sumeet Goel
 
Dyna trace ajax edition介绍
Dyna trace ajax edition介绍Dyna trace ajax edition介绍
Dyna trace ajax edition介绍
louieuser
 
April salsa night
April salsa nightApril salsa night
April salsa night
debhig
 
The not-so-distant future of marketing
The not-so-distant future of marketingThe not-so-distant future of marketing
The not-so-distant future of marketing
Jeff Pundyk
 
Powerpoint dansa amb helena
Powerpoint dansa amb helenaPowerpoint dansa amb helena
Powerpoint dansa amb helenaestelpastor
 
30Jan14: Are annuities fit for purpose?
30Jan14: Are annuities fit for purpose?30Jan14: Are annuities fit for purpose?
30Jan14: Are annuities fit for purpose?
ILC- UK
 
9.4.1
9.4.19.4.1
9.4.1
nglaze10
 
Commercial portfolio
Commercial portfolioCommercial portfolio
Commercial portfolio
Ben Phillips Photography
 
Skype hooks up deal with qtel
Skype hooks up deal with qtelSkype hooks up deal with qtel
Skype hooks up deal with qtel
zno0ob
 
Chapter 2.7 1
Chapter 2.7 1Chapter 2.7 1
Chapter 2.7 1
nglaze10
 
SEO for Developers
SEO for DevelopersSEO for Developers
SEO for Developers
Paul Stonier
 
Chapter2.2
Chapter2.2Chapter2.2
Chapter2.2
nglaze10
 
Chapter4.3
Chapter4.3Chapter4.3
Chapter4.3
nglaze10
 

Viewers also liked (17)

Aji amarillo camba
Aji amarillo cambaAji amarillo camba
Aji amarillo camba
 
7 Email Subject Line Templates to Get Your Emails Opened
7 Email Subject Line Templates to Get Your Emails Opened7 Email Subject Line Templates to Get Your Emails Opened
7 Email Subject Line Templates to Get Your Emails Opened
 
Software engineering
Software engineeringSoftware engineering
Software engineering
 
Emerson Migration Services
Emerson Migration ServicesEmerson Migration Services
Emerson Migration Services
 
Dyna trace ajax edition介绍
Dyna trace ajax edition介绍Dyna trace ajax edition介绍
Dyna trace ajax edition介绍
 
April salsa night
April salsa nightApril salsa night
April salsa night
 
The not-so-distant future of marketing
The not-so-distant future of marketingThe not-so-distant future of marketing
The not-so-distant future of marketing
 
Powerpoint dansa amb helena
Powerpoint dansa amb helenaPowerpoint dansa amb helena
Powerpoint dansa amb helena
 
30Jan14: Are annuities fit for purpose?
30Jan14: Are annuities fit for purpose?30Jan14: Are annuities fit for purpose?
30Jan14: Are annuities fit for purpose?
 
9.4.1
9.4.19.4.1
9.4.1
 
Commercial portfolio
Commercial portfolioCommercial portfolio
Commercial portfolio
 
Aloitus
AloitusAloitus
Aloitus
 
Skype hooks up deal with qtel
Skype hooks up deal with qtelSkype hooks up deal with qtel
Skype hooks up deal with qtel
 
Chapter 2.7 1
Chapter 2.7 1Chapter 2.7 1
Chapter 2.7 1
 
SEO for Developers
SEO for DevelopersSEO for Developers
SEO for Developers
 
Chapter2.2
Chapter2.2Chapter2.2
Chapter2.2
 
Chapter4.3
Chapter4.3Chapter4.3
Chapter4.3
 

Similar to Notes 5.1 & 5.2 honors

1.6 functions as rules and tables
1.6 functions as rules and tables1.6 functions as rules and tables
1.6 functions as rules and tables
bweldon
 
Mc ty-logarithms-2009-1
Mc ty-logarithms-2009-1Mc ty-logarithms-2009-1
Mc ty-logarithms-2009-1
sheetslibrary
 
Logarithms Text
Logarithms TextLogarithms Text
Logarithms Text
SifuDias
 
Lesson 8 Creating Complex Formulas
Lesson 8   Creating Complex FormulasLesson 8   Creating Complex Formulas
Lesson 8 Creating Complex Formulas
guevarra_2000
 
Lesson 8 Creating Complex Formulas
Lesson 8   Creating Complex FormulasLesson 8   Creating Complex Formulas
Lesson 8 Creating Complex Formulas
guevarra_2000
 
Mathematical Modeling With Maple
Mathematical Modeling With MapleMathematical Modeling With Maple
Mathematical Modeling With Maple
Vaitheeswaran Gnanaraj
 
Matlab Workshop Presentation
Matlab Workshop PresentationMatlab Workshop Presentation
Matlab Workshop Presentation
Jairo Maldonado-Contreras
 
(8) Lesson 4.4
(8) Lesson 4.4(8) Lesson 4.4
(8) Lesson 4.4
wzuri
 
Unit 11 family letter
Unit 11 family letterUnit 11 family letter
Unit 11 family letter
ackerkri
 
101 Unit
101 Unit101 Unit
101 Unit
Bitsy Griffin
 
Writing linear functions edmodo
Writing linear functions edmodoWriting linear functions edmodo
Writing linear functions edmodo
shumwayc
 
1.3 writing expressions part 1
1.3 writing expressions part 11.3 writing expressions part 1
1.3 writing expressions part 1
bweldon
 
Math 107 College AlgebraName Olufemi Akinyemi Final Examination F.docx
Math 107 College AlgebraName Olufemi Akinyemi Final Examination F.docxMath 107 College AlgebraName Olufemi Akinyemi Final Examination F.docx
Math 107 College AlgebraName Olufemi Akinyemi Final Examination F.docx
alfredacavx97
 
MATH133 UNIT 2 Quadratic Equations Individual Project Assignm.docx
MATH133 UNIT 2 Quadratic Equations Individual Project Assignm.docxMATH133 UNIT 2 Quadratic Equations Individual Project Assignm.docx
MATH133 UNIT 2 Quadratic Equations Individual Project Assignm.docx
healdkathaleen
 
c2ch0108-1222031873020264-9.pptx
c2ch0108-1222031873020264-9.pptxc2ch0108-1222031873020264-9.pptx
c2ch0108-1222031873020264-9.pptx
RayRabara
 
Algebra
AlgebraAlgebra
7.1 ratios and rates 1
7.1 ratios and rates 17.1 ratios and rates 1
7.1 ratios and rates 1
bweldon
 
Quick start learn dax basics in 30 minutes
Quick start   learn dax basics in 30 minutesQuick start   learn dax basics in 30 minutes
Quick start learn dax basics in 30 minutes
Компания Робот Икс
 
Functions D1 Notes
Functions D1 NotesFunctions D1 Notes
Functions D1 Notes
guest19cd1f
 
Functions D1 Notes
Functions D1 NotesFunctions D1 Notes
Functions D1 Notes
guest19cd1f
 

Similar to Notes 5.1 & 5.2 honors (20)

1.6 functions as rules and tables
1.6 functions as rules and tables1.6 functions as rules and tables
1.6 functions as rules and tables
 
Mc ty-logarithms-2009-1
Mc ty-logarithms-2009-1Mc ty-logarithms-2009-1
Mc ty-logarithms-2009-1
 
Logarithms Text
Logarithms TextLogarithms Text
Logarithms Text
 
Lesson 8 Creating Complex Formulas
Lesson 8   Creating Complex FormulasLesson 8   Creating Complex Formulas
Lesson 8 Creating Complex Formulas
 
Lesson 8 Creating Complex Formulas
Lesson 8   Creating Complex FormulasLesson 8   Creating Complex Formulas
Lesson 8 Creating Complex Formulas
 
Mathematical Modeling With Maple
Mathematical Modeling With MapleMathematical Modeling With Maple
Mathematical Modeling With Maple
 
Matlab Workshop Presentation
Matlab Workshop PresentationMatlab Workshop Presentation
Matlab Workshop Presentation
 
(8) Lesson 4.4
(8) Lesson 4.4(8) Lesson 4.4
(8) Lesson 4.4
 
Unit 11 family letter
Unit 11 family letterUnit 11 family letter
Unit 11 family letter
 
101 Unit
101 Unit101 Unit
101 Unit
 
Writing linear functions edmodo
Writing linear functions edmodoWriting linear functions edmodo
Writing linear functions edmodo
 
1.3 writing expressions part 1
1.3 writing expressions part 11.3 writing expressions part 1
1.3 writing expressions part 1
 
Math 107 College AlgebraName Olufemi Akinyemi Final Examination F.docx
Math 107 College AlgebraName Olufemi Akinyemi Final Examination F.docxMath 107 College AlgebraName Olufemi Akinyemi Final Examination F.docx
Math 107 College AlgebraName Olufemi Akinyemi Final Examination F.docx
 
MATH133 UNIT 2 Quadratic Equations Individual Project Assignm.docx
MATH133 UNIT 2 Quadratic Equations Individual Project Assignm.docxMATH133 UNIT 2 Quadratic Equations Individual Project Assignm.docx
MATH133 UNIT 2 Quadratic Equations Individual Project Assignm.docx
 
c2ch0108-1222031873020264-9.pptx
c2ch0108-1222031873020264-9.pptxc2ch0108-1222031873020264-9.pptx
c2ch0108-1222031873020264-9.pptx
 
Algebra
AlgebraAlgebra
Algebra
 
7.1 ratios and rates 1
7.1 ratios and rates 17.1 ratios and rates 1
7.1 ratios and rates 1
 
Quick start learn dax basics in 30 minutes
Quick start   learn dax basics in 30 minutesQuick start   learn dax basics in 30 minutes
Quick start learn dax basics in 30 minutes
 
Functions D1 Notes
Functions D1 NotesFunctions D1 Notes
Functions D1 Notes
 
Functions D1 Notes
Functions D1 NotesFunctions D1 Notes
Functions D1 Notes
 

More from nglaze10

add and subtract decimals
add and subtract decimals add and subtract decimals
add and subtract decimals
nglaze10
 
3 3 i can add and subtract decimals
3 3 i can add and subtract decimals 3 3 i can add and subtract decimals
3 3 i can add and subtract decimals
nglaze10
 
Integers day 2 hour 1
Integers day 2 hour 1Integers day 2 hour 1
Integers day 2 hour 1
nglaze10
 
New week 6
New week 6New week 6
New week 6
nglaze10
 
New week 5
New week 5New week 5
New week 5
nglaze10
 
New week 4
New week 4New week 4
New week 4
nglaze10
 
New week 3
New week 3New week 3
New week 3
nglaze10
 
Newweek2
Newweek2Newweek2
Newweek2
nglaze10
 
10.3
10.310.3
10.3
nglaze10
 
New week 1
New week 1New week 1
New week 1
nglaze10
 
New week 10
New week 10New week 10
New week 10
nglaze10
 
New week 9
New week 9New week 9
New week 9
nglaze10
 
11.6
11.611.6
11.6
nglaze10
 
11.5
11.511.5
11.5
nglaze10
 
11.4
11.411.4
11.4
nglaze10
 
New week 8
New week 8New week 8
New week 8
nglaze10
 
11.1
11.111.1
11.1
nglaze10
 
New week 6
New week 6New week 6
New week 6
nglaze10
 
9.9
9.99.9
9.8
9.89.8

More from nglaze10 (20)

add and subtract decimals
add and subtract decimals add and subtract decimals
add and subtract decimals
 
3 3 i can add and subtract decimals
3 3 i can add and subtract decimals 3 3 i can add and subtract decimals
3 3 i can add and subtract decimals
 
Integers day 2 hour 1
Integers day 2 hour 1Integers day 2 hour 1
Integers day 2 hour 1
 
New week 6
New week 6New week 6
New week 6
 
New week 5
New week 5New week 5
New week 5
 
New week 4
New week 4New week 4
New week 4
 
New week 3
New week 3New week 3
New week 3
 
Newweek2
Newweek2Newweek2
Newweek2
 
10.3
10.310.3
10.3
 
New week 1
New week 1New week 1
New week 1
 
New week 10
New week 10New week 10
New week 10
 
New week 9
New week 9New week 9
New week 9
 
11.6
11.611.6
11.6
 
11.5
11.511.5
11.5
 
11.4
11.411.4
11.4
 
New week 8
New week 8New week 8
New week 8
 
11.1
11.111.1
11.1
 
New week 6
New week 6New week 6
New week 6
 
9.9
9.99.9
9.9
 
9.8
9.89.8
9.8
 

Recently uploaded

Dandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity serverDandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity server
Antonios Katsarakis
 
"Choosing proper type of scaling", Olena Syrota
"Choosing proper type of scaling", Olena Syrota"Choosing proper type of scaling", Olena Syrota
"Choosing proper type of scaling", Olena Syrota
Fwdays
 
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing InstancesEnergy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Alpen-Adria-Universität
 
JavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green MasterplanJavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green Masterplan
Miro Wengner
 
Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving
 
Taking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdfTaking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdf
ssuserfac0301
 
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
Edge AI and Vision Alliance
 
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyFreshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
ScyllaDB
 
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
saastr
 
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success StoryDriving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Safe Software
 
AppSec PNW: Android and iOS Application Security with MobSF
AppSec PNW: Android and iOS Application Security with MobSFAppSec PNW: Android and iOS Application Security with MobSF
AppSec PNW: Android and iOS Application Security with MobSF
Ajin Abraham
 
Mutation Testing for Task-Oriented Chatbots
Mutation Testing for Task-Oriented ChatbotsMutation Testing for Task-Oriented Chatbots
Mutation Testing for Task-Oriented Chatbots
Pablo Gómez Abajo
 
9 CEO's who hit $100m ARR Share Their Top Growth Tactics Nathan Latka, Founde...
9 CEO's who hit $100m ARR Share Their Top Growth Tactics Nathan Latka, Founde...9 CEO's who hit $100m ARR Share Their Top Growth Tactics Nathan Latka, Founde...
9 CEO's who hit $100m ARR Share Their Top Growth Tactics Nathan Latka, Founde...
saastr
 
The Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptxThe Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptx
operationspcvita
 
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframeDigital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Precisely
 
Principle of conventional tomography-Bibash Shahi ppt..pptx
Principle of conventional tomography-Bibash Shahi ppt..pptxPrinciple of conventional tomography-Bibash Shahi ppt..pptx
Principle of conventional tomography-Bibash Shahi ppt..pptx
BibashShahi
 
GNSS spoofing via SDR (Criptored Talks 2024)
GNSS spoofing via SDR (Criptored Talks 2024)GNSS spoofing via SDR (Criptored Talks 2024)
GNSS spoofing via SDR (Criptored Talks 2024)
Javier Junquera
 
Y-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PPY-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PP
c5vrf27qcz
 
Skybuffer SAM4U tool for SAP license adoption
Skybuffer SAM4U tool for SAP license adoptionSkybuffer SAM4U tool for SAP license adoption
Skybuffer SAM4U tool for SAP license adoption
Tatiana Kojar
 

Recently uploaded (20)

Dandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity serverDandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity server
 
"Choosing proper type of scaling", Olena Syrota
"Choosing proper type of scaling", Olena Syrota"Choosing proper type of scaling", Olena Syrota
"Choosing proper type of scaling", Olena Syrota
 
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing InstancesEnergy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
 
JavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green MasterplanJavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green Masterplan
 
Artificial Intelligence and Electronic Warfare
Artificial Intelligence and Electronic WarfareArtificial Intelligence and Electronic Warfare
Artificial Intelligence and Electronic Warfare
 
Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving | Nameplate Manufacturing Process - 2024
 
Taking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdfTaking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdf
 
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
 
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyFreshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
 
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
 
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success StoryDriving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
 
AppSec PNW: Android and iOS Application Security with MobSF
AppSec PNW: Android and iOS Application Security with MobSFAppSec PNW: Android and iOS Application Security with MobSF
AppSec PNW: Android and iOS Application Security with MobSF
 
Mutation Testing for Task-Oriented Chatbots
Mutation Testing for Task-Oriented ChatbotsMutation Testing for Task-Oriented Chatbots
Mutation Testing for Task-Oriented Chatbots
 
9 CEO's who hit $100m ARR Share Their Top Growth Tactics Nathan Latka, Founde...
9 CEO's who hit $100m ARR Share Their Top Growth Tactics Nathan Latka, Founde...9 CEO's who hit $100m ARR Share Their Top Growth Tactics Nathan Latka, Founde...
9 CEO's who hit $100m ARR Share Their Top Growth Tactics Nathan Latka, Founde...
 
The Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptxThe Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptx
 
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframeDigital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
 
Principle of conventional tomography-Bibash Shahi ppt..pptx
Principle of conventional tomography-Bibash Shahi ppt..pptxPrinciple of conventional tomography-Bibash Shahi ppt..pptx
Principle of conventional tomography-Bibash Shahi ppt..pptx
 
GNSS spoofing via SDR (Criptored Talks 2024)
GNSS spoofing via SDR (Criptored Talks 2024)GNSS spoofing via SDR (Criptored Talks 2024)
GNSS spoofing via SDR (Criptored Talks 2024)
 
Y-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PPY-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PP
 
Skybuffer SAM4U tool for SAP license adoption
Skybuffer SAM4U tool for SAP license adoptionSkybuffer SAM4U tool for SAP license adoption
Skybuffer SAM4U tool for SAP license adoption
 

Notes 5.1 & 5.2 honors

  • 1. 11/12/13 Algebra 1 Warm-up 5.1a 
  • 2. NOTES 5.1 & 5.2 FUNCTIONS: ORDERED PAIRS, FUNCTION RULES, AND GRAPHS Textbook Pgs. 249-260
  • 4. Example 1: Real-life relation: Hours $ Earned 2 14 5 35  Write as a set of ordered pairs  Identify the domain and range  Graph the data  Write a rule 7 49 8 56
  • 5. Example 2: Use an equation 
  • 6. Example 3: Function or Not?  Month Rain (in) 2 14 5 5 7 0 8 0 11 12
  • 7. Example 4: Write a function rule  Do you see a pattern? Think about… how much is y changing compared to x? Is y always a certain amount bigger or smaller?  Use a table:  Use a graph:
  • 8. Ex 5: Write a word prob. as a function  You plan to attend up to 5 art lessons that cost $12 each.  Independent Variable?  Dependent Variable?  Write the amount you will spend as a function of the number of lessons you will attend. (Function Rule):  Domain?  Range?
  • 9. Example 6: Analyze a graph  0 1 2 3 4 0.95 1.28 2.27 1.76 2.18 * Explain how you know that the graph represents a function * Describe any trend in the data