SlideShare uma empresa Scribd logo
1 de 6
0 H H A
Conditions 1.  Randomization 2.  Independence:  Plausible Independence?   10% Condition -  3.  np, nq  ≥  10
p +1 σ +2 σ +3 σ -1 σ -2 σ -3 σ P( p  ) = P( z  ) = < > ≠ N( p,  ) z =
Interpretation If the  , then the  probability of observing a sample  that is  is  . null hypothesis is true proportion/mean less than,  greater than, at least as extreme as p-value 1 2 p-hat 4 3
Fail to Reject the Null Hypothesis Reject the Null Hypothesis High p-value High likelihood of happening through natural sampling variation Low p-value Low likelihood of happening through natural sampling variation
 

Mais conteúdo relacionado

Mais de christjt

10 11 One Prop z-intervals
10 11 One Prop z-intervals10 11 One Prop z-intervals
10 11 One Prop z-intervalschristjt
 
10 11 One Proportion Z-tests Detailed
10 11 One Proportion Z-tests Detailed10 11 One Proportion Z-tests Detailed
10 11 One Proportion Z-tests Detailedchristjt
 
10 11 Hypothesis Testing Mechanics
10 11 Hypothesis Testing Mechanics10 11 Hypothesis Testing Mechanics
10 11 Hypothesis Testing Mechanicschristjt
 
10 11 binomial distributions
10 11 binomial distributions10 11 binomial distributions
10 11 binomial distributionschristjt
 
10-11 Geometric Distributions
10-11 Geometric Distributions10-11 Geometric Distributions
10-11 Geometric Distributionschristjt
 
Expected Value & Variances Add - Updated
Expected Value & Variances Add - UpdatedExpected Value & Variances Add - Updated
Expected Value & Variances Add - Updatedchristjt
 
10-11 Expected Value & Variances Add
10-11 Expected Value & Variances Add10-11 Expected Value & Variances Add
10-11 Expected Value & Variances Addchristjt
 
10 11 Probability Practice
10 11 Probability Practice10 11 Probability Practice
10 11 Probability Practicechristjt
 
10 11 Independence
10 11 Independence10 11 Independence
10 11 Independencechristjt
 
10-11 Probability Wrapup
10-11 Probability Wrapup10-11 Probability Wrapup
10-11 Probability Wrapupchristjt
 
10 11 Probability Formalization
10 11 Probability Formalization10 11 Probability Formalization
10 11 Probability Formalizationchristjt
 
10 11 Multiplication Rule and Conditional Probability
10 11 Multiplication Rule and Conditional Probability10 11 Multiplication Rule and Conditional Probability
10 11 Multiplication Rule and Conditional Probabilitychristjt
 
10 11 Probability Basics
10 11 Probability Basics10 11 Probability Basics
10 11 Probability Basicschristjt
 
10-11 Sampling and Surveying
10-11 Sampling and Surveying10-11 Sampling and Surveying
10-11 Sampling and Surveyingchristjt
 
10 11 Experimental Design
10 11 Experimental Design10 11 Experimental Design
10 11 Experimental Designchristjt
 
Phillies photoshopped
Phillies photoshoppedPhillies photoshopped
Phillies photoshoppedchristjt
 
Simulations
SimulationsSimulations
Simulationschristjt
 
Advanced linear regression
Advanced linear regressionAdvanced linear regression
Advanced linear regressionchristjt
 
Linear Regression Basics
Linear Regression BasicsLinear Regression Basics
Linear Regression Basicschristjt
 
Normal model practice
Normal model practiceNormal model practice
Normal model practicechristjt
 

Mais de christjt (20)

10 11 One Prop z-intervals
10 11 One Prop z-intervals10 11 One Prop z-intervals
10 11 One Prop z-intervals
 
10 11 One Proportion Z-tests Detailed
10 11 One Proportion Z-tests Detailed10 11 One Proportion Z-tests Detailed
10 11 One Proportion Z-tests Detailed
 
10 11 Hypothesis Testing Mechanics
10 11 Hypothesis Testing Mechanics10 11 Hypothesis Testing Mechanics
10 11 Hypothesis Testing Mechanics
 
10 11 binomial distributions
10 11 binomial distributions10 11 binomial distributions
10 11 binomial distributions
 
10-11 Geometric Distributions
10-11 Geometric Distributions10-11 Geometric Distributions
10-11 Geometric Distributions
 
Expected Value & Variances Add - Updated
Expected Value & Variances Add - UpdatedExpected Value & Variances Add - Updated
Expected Value & Variances Add - Updated
 
10-11 Expected Value & Variances Add
10-11 Expected Value & Variances Add10-11 Expected Value & Variances Add
10-11 Expected Value & Variances Add
 
10 11 Probability Practice
10 11 Probability Practice10 11 Probability Practice
10 11 Probability Practice
 
10 11 Independence
10 11 Independence10 11 Independence
10 11 Independence
 
10-11 Probability Wrapup
10-11 Probability Wrapup10-11 Probability Wrapup
10-11 Probability Wrapup
 
10 11 Probability Formalization
10 11 Probability Formalization10 11 Probability Formalization
10 11 Probability Formalization
 
10 11 Multiplication Rule and Conditional Probability
10 11 Multiplication Rule and Conditional Probability10 11 Multiplication Rule and Conditional Probability
10 11 Multiplication Rule and Conditional Probability
 
10 11 Probability Basics
10 11 Probability Basics10 11 Probability Basics
10 11 Probability Basics
 
10-11 Sampling and Surveying
10-11 Sampling and Surveying10-11 Sampling and Surveying
10-11 Sampling and Surveying
 
10 11 Experimental Design
10 11 Experimental Design10 11 Experimental Design
10 11 Experimental Design
 
Phillies photoshopped
Phillies photoshoppedPhillies photoshopped
Phillies photoshopped
 
Simulations
SimulationsSimulations
Simulations
 
Advanced linear regression
Advanced linear regressionAdvanced linear regression
Advanced linear regression
 
Linear Regression Basics
Linear Regression BasicsLinear Regression Basics
Linear Regression Basics
 
Normal model practice
Normal model practiceNormal model practice
Normal model practice
 

Último

Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesZilliz
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024The Digital Insurer
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embeddingZilliz
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 

Último (20)

Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector Databases
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embedding
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 

Hypothesis Testing 1

  • 1. 0 H H A
  • 2. Conditions 1. Randomization 2. Independence: Plausible Independence? 10% Condition - 3. np, nq ≥ 10
  • 3. p +1 σ +2 σ +3 σ -1 σ -2 σ -3 σ P( p ) = P( z ) = < > ≠ N( p, ) z =
  • 4. Interpretation If the , then the probability of observing a sample that is is . null hypothesis is true proportion/mean less than, greater than, at least as extreme as p-value 1 2 p-hat 4 3
  • 5. Fail to Reject the Null Hypothesis Reject the Null Hypothesis High p-value High likelihood of happening through natural sampling variation Low p-value Low likelihood of happening through natural sampling variation
  • 6.