SlideShare ist ein Scribd-Unternehmen logo
1 von 15
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Statistical Tests
Spearman's Rank Best used to look at either: Distance and Environmental Quality OR Distance and Counts Either look  at total environmental quality score  for a survey point or just one element. Choose a point on your map to say the distance  it is from your survey point. Try and choose a point that will get results! Doesn't matter where your point is as long as you  can explain why
1. Create a Null Hypothesis There is no significant relationship between x and y. The Null Hypothesis tells us that there is no significant relationship between  two factors. That means we cannot say with any degree of certainty that one  affects the other. You state the null hypothesis as shown below before any piece of statistical  analysis. The purpose of your statistical analysis is to disprove the null hypothesis. Therefore you can say that there IS a significant relationship between x and y.
2. Create Table Site No. Dist  from x Rank Env Q. Rank Diff Diff Sq don't need real distance - use cm on map (1) (2) (1)-(2)  Sum of 1 2 3 4 5 20 15 7 35 25 3 2 1 5 4 2.5 2.5 1 5 4 14 14 12 25 24 0.5 -0.5 0 0 0 0.25 0.25 0 0 0 0.5
Answer is between +1 and -1 +1 - perfect positive relationship 0 - no relationship -1 - perfect negative relationship 3. Apply formula n = your number of sites
4. Can we reject null hypothesis Degrees of Freedom = number of sample sites. If larger than critical value then with 0.05 you are  95% certain that you can reject null hypothesis. 0.01 you are 99% certain you can reject the null
5. Writing it up Introduce: It was thought that litter would be  worse closer to the cinema entrance. In order to  investigate this relationship a Spearman's Rank  test was carried out (figure 2). Null Hypothesis and All your  calculations go in figure 2. Then explain what you have found out Environmental survey KQ1 - Counts KQ2
Chi Square Test Best place to use - look at the  relationship between people's opinions  against their age or gender. For example: Do men feel safer in Cardinal Park than  women?
1. Create null  hypothesis There is no significant  relationship between .... What would it be if we were looking at gender and  feelings of safety in Cardinal Park?
2. Create results table If you have a not sure column  - you will need to merge these  with agree or disagree See worksheet I have given you for an example!
3. Check over 5 Check all cells are over 5. If you have lower you will need to merge  categories Again - there is an example of this on the  sheet.
4. Calculate Expected You need to know: Total number of questionnaires Total in rows Total in columns Need to do 4 calculations for  expected values - see sheet.
5. Apply the Formula Remember to total up
6. Degrees of Freedom -  Does it fit the Null Slightly different calculation for degrees of freedom  this time. It is the number of rows minus one x number of  columns minus one. Again look at the significance level.  Can you be 95% or even 99% certain?
7. Write up in same way as you did  with Spearman's Introduce: It was thought that women would be  more scared in Cardinal Park that men. In order  to investigate this relationship a Chi Squared test  was carried out (figure 3). Null Hypothesis and All your  calculations go in figure 3. Then explain what you have found out

Weitere ähnliche Inhalte

Was ist angesagt?

Test of hypothesis (z)
Test of hypothesis (z)Test of hypothesis (z)
Test of hypothesis (z)
Marlon Gomez
 
Hypothesis testing an introduction
Hypothesis testing an introductionHypothesis testing an introduction
Hypothesis testing an introduction
Geetika Gulyani
 
Lecture 7 Hypothesis Testing Two Sample
Lecture 7 Hypothesis Testing Two SampleLecture 7 Hypothesis Testing Two Sample
Lecture 7 Hypothesis Testing Two Sample
Ahmadullah
 

Was ist angesagt? (20)

Chi square and t tests, Neelam zafar & group
Chi square and t tests, Neelam zafar & groupChi square and t tests, Neelam zafar & group
Chi square and t tests, Neelam zafar & group
 
Goodness Of Fit Test
Goodness Of Fit TestGoodness Of Fit Test
Goodness Of Fit Test
 
Complements and Conditional Probability, and Bayes' Theorem
 Complements and Conditional Probability, and Bayes' Theorem Complements and Conditional Probability, and Bayes' Theorem
Complements and Conditional Probability, and Bayes' Theorem
 
Hypothesis Testing
Hypothesis TestingHypothesis Testing
Hypothesis Testing
 
CHI Square
CHI SquareCHI Square
CHI Square
 
Foundations of Statistics for Ecology and Evolution. 2. Hypothesis Testing
Foundations of Statistics for Ecology and Evolution. 2. Hypothesis TestingFoundations of Statistics for Ecology and Evolution. 2. Hypothesis Testing
Foundations of Statistics for Ecology and Evolution. 2. Hypothesis Testing
 
Hypothesis Testing
Hypothesis TestingHypothesis Testing
Hypothesis Testing
 
Chi square test
Chi square testChi square test
Chi square test
 
Test of hypothesis (z)
Test of hypothesis (z)Test of hypothesis (z)
Test of hypothesis (z)
 
Hypothesis testing an introduction
Hypothesis testing an introductionHypothesis testing an introduction
Hypothesis testing an introduction
 
Business Statistics Chapter 9
Business Statistics Chapter 9Business Statistics Chapter 9
Business Statistics Chapter 9
 
Hypothesis testing
Hypothesis testingHypothesis testing
Hypothesis testing
 
Chapter 6 part2-Introduction to Inference-Tests of Significance, Stating Hyp...
Chapter 6 part2-Introduction to Inference-Tests of Significance,  Stating Hyp...Chapter 6 part2-Introduction to Inference-Tests of Significance,  Stating Hyp...
Chapter 6 part2-Introduction to Inference-Tests of Significance, Stating Hyp...
 
Population and sample mean
Population and sample meanPopulation and sample mean
Population and sample mean
 
Sign Test
Sign TestSign Test
Sign Test
 
Statistical Analysis with R- III
Statistical Analysis with R- IIIStatistical Analysis with R- III
Statistical Analysis with R- III
 
Lecture 7 Hypothesis Testing Two Sample
Lecture 7 Hypothesis Testing Two SampleLecture 7 Hypothesis Testing Two Sample
Lecture 7 Hypothesis Testing Two Sample
 
Chi Square Worked Example
Chi Square Worked ExampleChi Square Worked Example
Chi Square Worked Example
 
Hypothesis Testing
Hypothesis TestingHypothesis Testing
Hypothesis Testing
 
Research methodology - Estimation Theory & Hypothesis Testing, Techniques of ...
Research methodology - Estimation Theory & Hypothesis Testing, Techniques of ...Research methodology - Estimation Theory & Hypothesis Testing, Techniques of ...
Research methodology - Estimation Theory & Hypothesis Testing, Techniques of ...
 

Andere mochten auch

A+ cheat sheet
A+ cheat sheetA+ cheat sheet
A+ cheat sheet
abnmi
 
Python
PythonPython
Cheat sheets for data scientists
Cheat sheets for data scientistsCheat sheets for data scientists
Cheat sheets for data scientists
Ajay Ohri
 

Andere mochten auch (20)

Path analysis
Path analysisPath analysis
Path analysis
 
Path Analysis
Path AnalysisPath Analysis
Path Analysis
 
Path analysis
Path analysisPath analysis
Path analysis
 
DIstinguish between Parametric vs nonparametric test
 DIstinguish between Parametric vs nonparametric test DIstinguish between Parametric vs nonparametric test
DIstinguish between Parametric vs nonparametric test
 
Follow up SPARK
Follow up SPARKFollow up SPARK
Follow up SPARK
 
Scikit-learn Cheatsheet-Python
Scikit-learn Cheatsheet-PythonScikit-learn Cheatsheet-Python
Scikit-learn Cheatsheet-Python
 
A+ cheat sheet
A+ cheat sheetA+ cheat sheet
A+ cheat sheet
 
Path Analysis (Camino de Senderos)
Path Analysis (Camino de Senderos)Path Analysis (Camino de Senderos)
Path Analysis (Camino de Senderos)
 
Linux cheat-sheet
Linux cheat-sheetLinux cheat-sheet
Linux cheat-sheet
 
Naive Bayes Example using R
Naive Bayes Example using  R Naive Bayes Example using  R
Naive Bayes Example using R
 
Python
PythonPython
Python
 
Python Pandas for Data Science cheatsheet
Python Pandas for Data Science cheatsheet Python Pandas for Data Science cheatsheet
Python Pandas for Data Science cheatsheet
 
Advanced R cheat sheet
Advanced R cheat sheetAdvanced R cheat sheet
Advanced R cheat sheet
 
Data Exploration and Visualization with R
Data Exploration and Visualization with RData Exploration and Visualization with R
Data Exploration and Visualization with R
 
2013.06.18 Time Series Analysis Workshop ..Applications in Physiology, Climat...
2013.06.18 Time Series Analysis Workshop ..Applications in Physiology, Climat...2013.06.18 Time Series Analysis Workshop ..Applications in Physiology, Climat...
2013.06.18 Time Series Analysis Workshop ..Applications in Physiology, Climat...
 
Python3 cheatsheet
Python3 cheatsheetPython3 cheatsheet
Python3 cheatsheet
 
Python Cheat Sheet
Python Cheat SheetPython Cheat Sheet
Python Cheat Sheet
 
Cheat sheets for data scientists
Cheat sheets for data scientistsCheat sheets for data scientists
Cheat sheets for data scientists
 
R Reference Card for Data Mining
R Reference Card for Data MiningR Reference Card for Data Mining
R Reference Card for Data Mining
 
Regression and Classification with R
Regression and Classification with RRegression and Classification with R
Regression and Classification with R
 

Ähnlich wie Statistical Test

You clearly understand the concepts of this assignment. You’ve don.docx
You clearly understand the concepts of this assignment. You’ve don.docxYou clearly understand the concepts of this assignment. You’ve don.docx
You clearly understand the concepts of this assignment. You’ve don.docx
jeffevans62972
 
PAGE O&M Statistics – Inferential Statistics Hypothesis Test.docx
PAGE  O&M Statistics – Inferential Statistics Hypothesis Test.docxPAGE  O&M Statistics – Inferential Statistics Hypothesis Test.docx
PAGE O&M Statistics – Inferential Statistics Hypothesis Test.docx
gerardkortney
 
Answer the questions in one paragraph 4-5 sentences. · Why did t.docx
Answer the questions in one paragraph 4-5 sentences. · Why did t.docxAnswer the questions in one paragraph 4-5 sentences. · Why did t.docx
Answer the questions in one paragraph 4-5 sentences. · Why did t.docx
boyfieldhouse
 
TEST #1Perform the following two-tailed hypothesis test, using a.docx
TEST #1Perform the following two-tailed hypothesis test, using a.docxTEST #1Perform the following two-tailed hypothesis test, using a.docx
TEST #1Perform the following two-tailed hypothesis test, using a.docx
mattinsonjanel
 
Morestatistics22 091208004743-phpapp01
Morestatistics22 091208004743-phpapp01Morestatistics22 091208004743-phpapp01
Morestatistics22 091208004743-phpapp01
mandrewmartin
 
8 Statistical SignificanceOK, measures of association are one .docx
8 Statistical SignificanceOK, measures of association are one .docx8 Statistical SignificanceOK, measures of association are one .docx
8 Statistical SignificanceOK, measures of association are one .docx
evonnehoggarth79783
 
Chi Square
Chi SquareChi Square
Chi Square
Jolie Yu
 
Chapter 3 - Problem Solving.pdf
Chapter 3 - Problem Solving.pdfChapter 3 - Problem Solving.pdf
Chapter 3 - Problem Solving.pdf
MinaSaflor
 

Ähnlich wie Statistical Test (20)

Data Analysis for Graduate Studies Summary
Data Analysis for Graduate Studies SummaryData Analysis for Graduate Studies Summary
Data Analysis for Graduate Studies Summary
 
Statistical tests
Statistical testsStatistical tests
Statistical tests
 
You clearly understand the concepts of this assignment. You’ve don.docx
You clearly understand the concepts of this assignment. You’ve don.docxYou clearly understand the concepts of this assignment. You’ve don.docx
You clearly understand the concepts of this assignment. You’ve don.docx
 
4. correlations
4. correlations4. correlations
4. correlations
 
PAGE O&M Statistics – Inferential Statistics Hypothesis Test.docx
PAGE  O&M Statistics – Inferential Statistics Hypothesis Test.docxPAGE  O&M Statistics – Inferential Statistics Hypothesis Test.docx
PAGE O&M Statistics – Inferential Statistics Hypothesis Test.docx
 
Answer the questions in one paragraph 4-5 sentences. · Why did t.docx
Answer the questions in one paragraph 4-5 sentences. · Why did t.docxAnswer the questions in one paragraph 4-5 sentences. · Why did t.docx
Answer the questions in one paragraph 4-5 sentences. · Why did t.docx
 
TEST #1Perform the following two-tailed hypothesis test, using a.docx
TEST #1Perform the following two-tailed hypothesis test, using a.docxTEST #1Perform the following two-tailed hypothesis test, using a.docx
TEST #1Perform the following two-tailed hypothesis test, using a.docx
 
Morestatistics22 091208004743-phpapp01
Morestatistics22 091208004743-phpapp01Morestatistics22 091208004743-phpapp01
Morestatistics22 091208004743-phpapp01
 
8 Statistical SignificanceOK, measures of association are one .docx
8 Statistical SignificanceOK, measures of association are one .docx8 Statistical SignificanceOK, measures of association are one .docx
8 Statistical SignificanceOK, measures of association are one .docx
 
data handling class 8
data handling class 8data handling class 8
data handling class 8
 
Chi Square
Chi SquareChi Square
Chi Square
 
Biostatistics Made Ridiculously Simple by Dr. Aryan (Medical Booklet Series b...
Biostatistics Made Ridiculously Simple by Dr. Aryan (Medical Booklet Series b...Biostatistics Made Ridiculously Simple by Dr. Aryan (Medical Booklet Series b...
Biostatistics Made Ridiculously Simple by Dr. Aryan (Medical Booklet Series b...
 
Chi Square
Chi SquareChi Square
Chi Square
 
What So Funny About Proportion Testv3
What So Funny About Proportion Testv3What So Funny About Proportion Testv3
What So Funny About Proportion Testv3
 
More Statistics
More StatisticsMore Statistics
More Statistics
 
Research methodology module 3
Research methodology module 3Research methodology module 3
Research methodology module 3
 
Ocw Statistical Analysis
Ocw Statistical AnalysisOcw Statistical Analysis
Ocw Statistical Analysis
 
Chi square
Chi squareChi square
Chi square
 
Chapter 3 - Problem Solving.pdf
Chapter 3 - Problem Solving.pdfChapter 3 - Problem Solving.pdf
Chapter 3 - Problem Solving.pdf
 
Mb0040 statistics for management
Mb0040  statistics for managementMb0040  statistics for management
Mb0040 statistics for management
 

Kürzlich hochgeladen

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Kürzlich hochgeladen (20)

Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUKSpring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 

Statistical Test

  • 1.
  • 2. Spearman's Rank Best used to look at either: Distance and Environmental Quality OR Distance and Counts Either look at total environmental quality score for a survey point or just one element. Choose a point on your map to say the distance it is from your survey point. Try and choose a point that will get results! Doesn't matter where your point is as long as you can explain why
  • 3. 1. Create a Null Hypothesis There is no significant relationship between x and y. The Null Hypothesis tells us that there is no significant relationship between two factors. That means we cannot say with any degree of certainty that one affects the other. You state the null hypothesis as shown below before any piece of statistical analysis. The purpose of your statistical analysis is to disprove the null hypothesis. Therefore you can say that there IS a significant relationship between x and y.
  • 4. 2. Create Table Site No. Dist from x Rank Env Q. Rank Diff Diff Sq don't need real distance - use cm on map (1) (2) (1)-(2)  Sum of 1 2 3 4 5 20 15 7 35 25 3 2 1 5 4 2.5 2.5 1 5 4 14 14 12 25 24 0.5 -0.5 0 0 0 0.25 0.25 0 0 0 0.5
  • 5. Answer is between +1 and -1 +1 - perfect positive relationship 0 - no relationship -1 - perfect negative relationship 3. Apply formula n = your number of sites
  • 6. 4. Can we reject null hypothesis Degrees of Freedom = number of sample sites. If larger than critical value then with 0.05 you are 95% certain that you can reject null hypothesis. 0.01 you are 99% certain you can reject the null
  • 7. 5. Writing it up Introduce: It was thought that litter would be worse closer to the cinema entrance. In order to investigate this relationship a Spearman's Rank test was carried out (figure 2). Null Hypothesis and All your calculations go in figure 2. Then explain what you have found out Environmental survey KQ1 - Counts KQ2
  • 8. Chi Square Test Best place to use - look at the relationship between people's opinions against their age or gender. For example: Do men feel safer in Cardinal Park than women?
  • 9. 1. Create null hypothesis There is no significant relationship between .... What would it be if we were looking at gender and feelings of safety in Cardinal Park?
  • 10. 2. Create results table If you have a not sure column - you will need to merge these with agree or disagree See worksheet I have given you for an example!
  • 11. 3. Check over 5 Check all cells are over 5. If you have lower you will need to merge categories Again - there is an example of this on the sheet.
  • 12. 4. Calculate Expected You need to know: Total number of questionnaires Total in rows Total in columns Need to do 4 calculations for expected values - see sheet.
  • 13. 5. Apply the Formula Remember to total up
  • 14. 6. Degrees of Freedom - Does it fit the Null Slightly different calculation for degrees of freedom this time. It is the number of rows minus one x number of columns minus one. Again look at the significance level. Can you be 95% or even 99% certain?
  • 15. 7. Write up in same way as you did with Spearman's Introduce: It was thought that women would be more scared in Cardinal Park that men. In order to investigate this relationship a Chi Squared test was carried out (figure 3). Null Hypothesis and All your calculations go in figure 3. Then explain what you have found out