SlideShare a Scribd company logo
Data Screening: Unengaged Responses
Contents:
•Unengaged/
Careless
Responses
in SPSS
Dr. Raheem Bux Soomro
Associate Professor
Shah Abdul Latif University
Pakistan
Data Analysis with
Statistics
Made Easy
SPSS Training session
(theory and
Practical)
Data Screening
Trainer: Dr. Raheem Bux Soomro2
Missing Data
Detecting Unengaged Responses
Detecting Outliers
Normality
Linearity
Homoscedasticity
Multicollinearity
• In this section I will focus on six specific issues that need to be
addressed when cleaning (not cooking) your data.
Trainer: Dr. Raheem Bux Soomro
3
Unengaged Responses
Trainer: Dr. Raheem Bux Soomro
4
Unengaged Responses
Trainer: Dr. Raheem Bux Soomro
5
• When someone is taking your survey but is not
paying attention.
Unengaged Responses
Trainer: Dr. Raheem Bux Soomro
6
Why to calculate Standard Deviation (SD)?
• Standard deviation measures the spread of a data
distribution.
• The more spread out a data distribution is, the greater its
standard deviation.
• SD is a special form of average deviation from the
mean.
Unengaged Responses
Trainer: Dr. Raheem Bux Soomro
7
• A standard deviation close to 000 indicates that the data
points tend to be close to the mean (shown by the red line).
Unengaged Responses
Trainer: Dr. Raheem Bux Soomro
8
Unengaged Responses
You may watch an informative and practical
video on these topics by visiting following link:
https://www.youtube.com/watch?v=gGPA0JQhGNQ&list=PLR-
G0fx7eecvxebU-dtXgWBQ3wu05Z0z-&index=8

More Related Content

What's hot

Normal distribution
Normal distributionNormal distribution
Normal distribution
Sarabjeet Kaur
 
Marginal costing
Marginal costing Marginal costing
Marginal costing
Nikita Jangid
 
Notes on Cost volume profit analysis
Notes on Cost volume profit analysisNotes on Cost volume profit analysis
Notes on Cost volume profit analysis
Yamini Kahaliya
 
Normal and standard normal distribution
Normal and standard normal distributionNormal and standard normal distribution
Normal and standard normal distribution
Avjinder (Avi) Kaler
 
Descriptive Statistics
Descriptive StatisticsDescriptive Statistics
Descriptive Statistics
Bhagya Silva
 
Chapter 16-marginal-costing and cvp analysis
Chapter 16-marginal-costing and cvp analysisChapter 16-marginal-costing and cvp analysis
Chapter 16-marginal-costing and cvp analysisAshvin Vala
 
A Criticism of Efficiency Wage Models
A Criticism of Efficiency Wage Models A Criticism of Efficiency Wage Models
A Criticism of Efficiency Wage Models
pkconference
 
Bba 3274 qm week 6 part 2 forecasting
Bba 3274 qm week 6 part 2 forecastingBba 3274 qm week 6 part 2 forecasting
Bba 3274 qm week 6 part 2 forecasting
Stephen Ong
 
Index Numbers
Index NumbersIndex Numbers
Index Numbers
Ameya Gandhi
 
Econometrics notes (Introduction, Simple Linear regression, Multiple linear r...
Econometrics notes (Introduction, Simple Linear regression, Multiple linear r...Econometrics notes (Introduction, Simple Linear regression, Multiple linear r...
Econometrics notes (Introduction, Simple Linear regression, Multiple linear r...
Muhammad Ali
 
Game theory and its applications
Game theory and its applicationsGame theory and its applications
Game theory and its applicationsEranga Weerasekara
 
Measure of Dispersion
Measure of DispersionMeasure of Dispersion
Measure of Dispersion
sonia gupta
 
Confirmatory Factor Analysis
Confirmatory Factor AnalysisConfirmatory Factor Analysis
Confirmatory Factor Analysis
University of Southampton
 
Autocorrelation- Detection- part 1- Durbin-Watson d test
Autocorrelation- Detection- part 1- Durbin-Watson d testAutocorrelation- Detection- part 1- Durbin-Watson d test
Autocorrelation- Detection- part 1- Durbin-Watson d test
Shilpa Chaudhary
 
Time series analysis- Part 2
Time series analysis- Part 2Time series analysis- Part 2
Time series analysis- Part 2
QuantUniversity
 
Simplex method
Simplex method Simplex method
Simplex method
DevyaneeDevyanee2007
 
Box jenkins method of forecasting
Box jenkins method of forecastingBox jenkins method of forecasting
Box jenkins method of forecasting
Er. Vaibhav Agarwal
 
Types Of Index Numbers
Types Of Index NumbersTypes Of Index Numbers
Types Of Index Numbers
Siddhant Behera
 

What's hot (20)

Normal distribution
Normal distributionNormal distribution
Normal distribution
 
Marginal costing
Marginal costing Marginal costing
Marginal costing
 
Notes on Cost volume profit analysis
Notes on Cost volume profit analysisNotes on Cost volume profit analysis
Notes on Cost volume profit analysis
 
Normal and standard normal distribution
Normal and standard normal distributionNormal and standard normal distribution
Normal and standard normal distribution
 
The Normal Distribution
The Normal DistributionThe Normal Distribution
The Normal Distribution
 
Descriptive Statistics
Descriptive StatisticsDescriptive Statistics
Descriptive Statistics
 
Chapter 16-marginal-costing and cvp analysis
Chapter 16-marginal-costing and cvp analysisChapter 16-marginal-costing and cvp analysis
Chapter 16-marginal-costing and cvp analysis
 
A Criticism of Efficiency Wage Models
A Criticism of Efficiency Wage Models A Criticism of Efficiency Wage Models
A Criticism of Efficiency Wage Models
 
Bba 3274 qm week 6 part 2 forecasting
Bba 3274 qm week 6 part 2 forecastingBba 3274 qm week 6 part 2 forecasting
Bba 3274 qm week 6 part 2 forecasting
 
Index Numbers
Index NumbersIndex Numbers
Index Numbers
 
Econometrics notes (Introduction, Simple Linear regression, Multiple linear r...
Econometrics notes (Introduction, Simple Linear regression, Multiple linear r...Econometrics notes (Introduction, Simple Linear regression, Multiple linear r...
Econometrics notes (Introduction, Simple Linear regression, Multiple linear r...
 
Game theory and its applications
Game theory and its applicationsGame theory and its applications
Game theory and its applications
 
Measure of Dispersion
Measure of DispersionMeasure of Dispersion
Measure of Dispersion
 
Operational reseach ppt
Operational reseach pptOperational reseach ppt
Operational reseach ppt
 
Confirmatory Factor Analysis
Confirmatory Factor AnalysisConfirmatory Factor Analysis
Confirmatory Factor Analysis
 
Autocorrelation- Detection- part 1- Durbin-Watson d test
Autocorrelation- Detection- part 1- Durbin-Watson d testAutocorrelation- Detection- part 1- Durbin-Watson d test
Autocorrelation- Detection- part 1- Durbin-Watson d test
 
Time series analysis- Part 2
Time series analysis- Part 2Time series analysis- Part 2
Time series analysis- Part 2
 
Simplex method
Simplex method Simplex method
Simplex method
 
Box jenkins method of forecasting
Box jenkins method of forecastingBox jenkins method of forecasting
Box jenkins method of forecasting
 
Types Of Index Numbers
Types Of Index NumbersTypes Of Index Numbers
Types Of Index Numbers
 

Similar to Detecting unengaged or careless responses in spss

Detecting missing data in SPSS
Detecting missing data in SPSSDetecting missing data in SPSS
Detecting missing data in SPSS
Shah Abdul Latif University
 
Unit no 08_designing questionnaire
Unit no 08_designing questionnaireUnit no 08_designing questionnaire
Unit no 08_designing questionnaire
Jaipal Dhobale
 
Data Collection Methods - Nursing Research
Data Collection Methods -  Nursing ResearchData Collection Methods -  Nursing Research
Data Collection Methods - Nursing Research
anand l
 
Data Collection
Data CollectionData Collection
Data Collection
sangita singh
 
Data collection methods 3.pptx community health nursing 2
Data collection methods 3.pptx community health nursing 2Data collection methods 3.pptx community health nursing 2
Data collection methods 3.pptx community health nursing 2
akoeljames8543
 
BRS SA 2.0 (2021) - Part 3 of 3.pptx
BRS SA 2.0 (2021) - Part 3 of 3.pptxBRS SA 2.0 (2021) - Part 3 of 3.pptx
BRS SA 2.0 (2021) - Part 3 of 3.pptx
HajiRock
 
Methods of data collection
Methods of data collectionMethods of data collection
Research methodology, design, meaning, features, need, Sampling, errors in su...
Research methodology, design, meaning, features, need, Sampling, errors in su...Research methodology, design, meaning, features, need, Sampling, errors in su...
Research methodology, design, meaning, features, need, Sampling, errors in su...
Prashant Ranjan
 
Methods of Data Collection.pptx
Methods of Data Collection.pptxMethods of Data Collection.pptx
Methods of Data Collection.pptx
ShwetankYadav11
 
Unit 4 methods of data collection
Unit 4 methods of data collectionUnit 4 methods of data collection
Unit 4 methods of data collection
Eko Priyanto
 
Presentation Teaching Evidence-Based Management NYU Wagner 2014
Presentation Teaching Evidence-Based Management NYU Wagner 2014Presentation Teaching Evidence-Based Management NYU Wagner 2014
Presentation Teaching Evidence-Based Management NYU Wagner 2014
Center for Evidence-Based Management
 
Mass media research unit 3
Mass media research unit 3Mass media research unit 3
Mass media research unit 3
Shubhangi Mishra
 
Research-Instruments_session-9.ppt
Research-Instruments_session-9.pptResearch-Instruments_session-9.ppt
Research-Instruments_session-9.ppt
RexMarco1
 
Malimu data collection methods
Malimu data collection methodsMalimu data collection methods
Malimu data collection methods
Miharbi Ignasm
 
York EBSC NSCA July 2009
York EBSC NSCA July 2009York EBSC NSCA July 2009
York EBSC NSCA July 2009
Des Moines University
 
Research Methodology
Research MethodologyResearch Methodology
Research Methodology
Hafez Ahmad
 
research process.pptx
research process.pptxresearch process.pptx
research process.pptx
anamikamishra29
 
Qualitative research methods
Qualitative research methodsQualitative research methods
Qualitative research methods
Asad Omar
 
Audit and stat for medical professionals
Audit and stat for medical professionalsAudit and stat for medical professionals
Audit and stat for medical professionals
Nadir Mehmood
 

Similar to Detecting unengaged or careless responses in spss (20)

Detecting missing data in SPSS
Detecting missing data in SPSSDetecting missing data in SPSS
Detecting missing data in SPSS
 
Unit no 08_designing questionnaire
Unit no 08_designing questionnaireUnit no 08_designing questionnaire
Unit no 08_designing questionnaire
 
Data Collection Methods - Nursing Research
Data Collection Methods -  Nursing ResearchData Collection Methods -  Nursing Research
Data Collection Methods - Nursing Research
 
Data Collection
Data CollectionData Collection
Data Collection
 
Data collection methods 3.pptx community health nursing 2
Data collection methods 3.pptx community health nursing 2Data collection methods 3.pptx community health nursing 2
Data collection methods 3.pptx community health nursing 2
 
BRS SA 2.0 (2021) - Part 3 of 3.pptx
BRS SA 2.0 (2021) - Part 3 of 3.pptxBRS SA 2.0 (2021) - Part 3 of 3.pptx
BRS SA 2.0 (2021) - Part 3 of 3.pptx
 
Methods of data collection
Methods of data collectionMethods of data collection
Methods of data collection
 
Research methodology, design, meaning, features, need, Sampling, errors in su...
Research methodology, design, meaning, features, need, Sampling, errors in su...Research methodology, design, meaning, features, need, Sampling, errors in su...
Research methodology, design, meaning, features, need, Sampling, errors in su...
 
Methods of Data Collection.pptx
Methods of Data Collection.pptxMethods of Data Collection.pptx
Methods of Data Collection.pptx
 
Unit 4 methods of data collection
Unit 4 methods of data collectionUnit 4 methods of data collection
Unit 4 methods of data collection
 
Presentation Teaching Evidence-Based Management NYU Wagner 2014
Presentation Teaching Evidence-Based Management NYU Wagner 2014Presentation Teaching Evidence-Based Management NYU Wagner 2014
Presentation Teaching Evidence-Based Management NYU Wagner 2014
 
Mass media research unit 3
Mass media research unit 3Mass media research unit 3
Mass media research unit 3
 
Research-Instruments_session-9.ppt
Research-Instruments_session-9.pptResearch-Instruments_session-9.ppt
Research-Instruments_session-9.ppt
 
Malimu data collection methods
Malimu data collection methodsMalimu data collection methods
Malimu data collection methods
 
York EBSC NSCA July 2009
York EBSC NSCA July 2009York EBSC NSCA July 2009
York EBSC NSCA July 2009
 
Research Methodology
Research MethodologyResearch Methodology
Research Methodology
 
research process.pptx
research process.pptxresearch process.pptx
research process.pptx
 
Rigour and ethics
Rigour and ethicsRigour and ethics
Rigour and ethics
 
Qualitative research methods
Qualitative research methodsQualitative research methods
Qualitative research methods
 
Audit and stat for medical professionals
Audit and stat for medical professionalsAudit and stat for medical professionals
Audit and stat for medical professionals
 

Recently uploaded

Navigating the Metaverse: A Journey into Virtual Evolution"
Navigating the Metaverse: A Journey into Virtual Evolution"Navigating the Metaverse: A Journey into Virtual Evolution"
Navigating the Metaverse: A Journey into Virtual Evolution"
Donna Lenk
 
OpenMetadata Community Meeting - 5th June 2024
OpenMetadata Community Meeting - 5th June 2024OpenMetadata Community Meeting - 5th June 2024
OpenMetadata Community Meeting - 5th June 2024
OpenMetadata
 
E-commerce Application Development Company.pdf
E-commerce Application Development Company.pdfE-commerce Application Development Company.pdf
E-commerce Application Development Company.pdf
Hornet Dynamics
 
Introduction to Pygame (Lecture 7 Python Game Development)
Introduction to Pygame (Lecture 7 Python Game Development)Introduction to Pygame (Lecture 7 Python Game Development)
Introduction to Pygame (Lecture 7 Python Game Development)
abdulrafaychaudhry
 
LORRAINE ANDREI_LEQUIGAN_HOW TO USE ZOOM
LORRAINE ANDREI_LEQUIGAN_HOW TO USE ZOOMLORRAINE ANDREI_LEQUIGAN_HOW TO USE ZOOM
LORRAINE ANDREI_LEQUIGAN_HOW TO USE ZOOM
lorraineandreiamcidl
 
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptx
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxTop Features to Include in Your Winzo Clone App for Business Growth (4).pptx
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptx
rickgrimesss22
 
A Sighting of filterA in Typelevel Rite of Passage
A Sighting of filterA in Typelevel Rite of PassageA Sighting of filterA in Typelevel Rite of Passage
A Sighting of filterA in Typelevel Rite of Passage
Philip Schwarz
 
Globus Connect Server Deep Dive - GlobusWorld 2024
Globus Connect Server Deep Dive - GlobusWorld 2024Globus Connect Server Deep Dive - GlobusWorld 2024
Globus Connect Server Deep Dive - GlobusWorld 2024
Globus
 
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...
Juraj Vysvader
 
2024 eCommerceDays Toulouse - Sylius 2.0.pdf
2024 eCommerceDays Toulouse - Sylius 2.0.pdf2024 eCommerceDays Toulouse - Sylius 2.0.pdf
2024 eCommerceDays Toulouse - Sylius 2.0.pdf
Łukasz Chruściel
 
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...
Mind IT Systems
 
Quarkus Hidden and Forbidden Extensions
Quarkus Hidden and Forbidden ExtensionsQuarkus Hidden and Forbidden Extensions
Quarkus Hidden and Forbidden Extensions
Max Andersen
 
Orion Context Broker introduction 20240604
Orion Context Broker introduction 20240604Orion Context Broker introduction 20240604
Orion Context Broker introduction 20240604
Fermin Galan
 
GOING AOT WITH GRAALVM FOR SPRING BOOT (SPRING IO)
GOING AOT WITH GRAALVM FOR  SPRING BOOT (SPRING IO)GOING AOT WITH GRAALVM FOR  SPRING BOOT (SPRING IO)
GOING AOT WITH GRAALVM FOR SPRING BOOT (SPRING IO)
Alina Yurenko
 
Need for Speed: Removing speed bumps from your Symfony projects ⚡️
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Need for Speed: Removing speed bumps from your Symfony projects ⚡️
Need for Speed: Removing speed bumps from your Symfony projects ⚡️
Łukasz Chruściel
 
Graspan: A Big Data System for Big Code Analysis
Graspan: A Big Data System for Big Code AnalysisGraspan: A Big Data System for Big Code Analysis
Graspan: A Big Data System for Big Code Analysis
Aftab Hussain
 
Webinar: Salesforce Document Management 2.0 - Smarter, Faster, Better
Webinar: Salesforce Document Management 2.0 - Smarter, Faster, BetterWebinar: Salesforce Document Management 2.0 - Smarter, Faster, Better
Webinar: Salesforce Document Management 2.0 - Smarter, Faster, Better
XfilesPro
 
Text-Summarization-of-Breaking-News-Using-Fine-tuning-BART-Model.pptx
Text-Summarization-of-Breaking-News-Using-Fine-tuning-BART-Model.pptxText-Summarization-of-Breaking-News-Using-Fine-tuning-BART-Model.pptx
Text-Summarization-of-Breaking-News-Using-Fine-tuning-BART-Model.pptx
ShamsuddeenMuhammadA
 
Lecture 1 Introduction to games development
Lecture 1 Introduction to games developmentLecture 1 Introduction to games development
Lecture 1 Introduction to games development
abdulrafaychaudhry
 
May Marketo Masterclass, London MUG May 22 2024.pdf
May Marketo Masterclass, London MUG May 22 2024.pdfMay Marketo Masterclass, London MUG May 22 2024.pdf
May Marketo Masterclass, London MUG May 22 2024.pdf
Adele Miller
 

Recently uploaded (20)

Navigating the Metaverse: A Journey into Virtual Evolution"
Navigating the Metaverse: A Journey into Virtual Evolution"Navigating the Metaverse: A Journey into Virtual Evolution"
Navigating the Metaverse: A Journey into Virtual Evolution"
 
OpenMetadata Community Meeting - 5th June 2024
OpenMetadata Community Meeting - 5th June 2024OpenMetadata Community Meeting - 5th June 2024
OpenMetadata Community Meeting - 5th June 2024
 
E-commerce Application Development Company.pdf
E-commerce Application Development Company.pdfE-commerce Application Development Company.pdf
E-commerce Application Development Company.pdf
 
Introduction to Pygame (Lecture 7 Python Game Development)
Introduction to Pygame (Lecture 7 Python Game Development)Introduction to Pygame (Lecture 7 Python Game Development)
Introduction to Pygame (Lecture 7 Python Game Development)
 
LORRAINE ANDREI_LEQUIGAN_HOW TO USE ZOOM
LORRAINE ANDREI_LEQUIGAN_HOW TO USE ZOOMLORRAINE ANDREI_LEQUIGAN_HOW TO USE ZOOM
LORRAINE ANDREI_LEQUIGAN_HOW TO USE ZOOM
 
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptx
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxTop Features to Include in Your Winzo Clone App for Business Growth (4).pptx
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptx
 
A Sighting of filterA in Typelevel Rite of Passage
A Sighting of filterA in Typelevel Rite of PassageA Sighting of filterA in Typelevel Rite of Passage
A Sighting of filterA in Typelevel Rite of Passage
 
Globus Connect Server Deep Dive - GlobusWorld 2024
Globus Connect Server Deep Dive - GlobusWorld 2024Globus Connect Server Deep Dive - GlobusWorld 2024
Globus Connect Server Deep Dive - GlobusWorld 2024
 
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...
 
2024 eCommerceDays Toulouse - Sylius 2.0.pdf
2024 eCommerceDays Toulouse - Sylius 2.0.pdf2024 eCommerceDays Toulouse - Sylius 2.0.pdf
2024 eCommerceDays Toulouse - Sylius 2.0.pdf
 
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...
 
Quarkus Hidden and Forbidden Extensions
Quarkus Hidden and Forbidden ExtensionsQuarkus Hidden and Forbidden Extensions
Quarkus Hidden and Forbidden Extensions
 
Orion Context Broker introduction 20240604
Orion Context Broker introduction 20240604Orion Context Broker introduction 20240604
Orion Context Broker introduction 20240604
 
GOING AOT WITH GRAALVM FOR SPRING BOOT (SPRING IO)
GOING AOT WITH GRAALVM FOR  SPRING BOOT (SPRING IO)GOING AOT WITH GRAALVM FOR  SPRING BOOT (SPRING IO)
GOING AOT WITH GRAALVM FOR SPRING BOOT (SPRING IO)
 
Need for Speed: Removing speed bumps from your Symfony projects ⚡️
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Need for Speed: Removing speed bumps from your Symfony projects ⚡️
Need for Speed: Removing speed bumps from your Symfony projects ⚡️
 
Graspan: A Big Data System for Big Code Analysis
Graspan: A Big Data System for Big Code AnalysisGraspan: A Big Data System for Big Code Analysis
Graspan: A Big Data System for Big Code Analysis
 
Webinar: Salesforce Document Management 2.0 - Smarter, Faster, Better
Webinar: Salesforce Document Management 2.0 - Smarter, Faster, BetterWebinar: Salesforce Document Management 2.0 - Smarter, Faster, Better
Webinar: Salesforce Document Management 2.0 - Smarter, Faster, Better
 
Text-Summarization-of-Breaking-News-Using-Fine-tuning-BART-Model.pptx
Text-Summarization-of-Breaking-News-Using-Fine-tuning-BART-Model.pptxText-Summarization-of-Breaking-News-Using-Fine-tuning-BART-Model.pptx
Text-Summarization-of-Breaking-News-Using-Fine-tuning-BART-Model.pptx
 
Lecture 1 Introduction to games development
Lecture 1 Introduction to games developmentLecture 1 Introduction to games development
Lecture 1 Introduction to games development
 
May Marketo Masterclass, London MUG May 22 2024.pdf
May Marketo Masterclass, London MUG May 22 2024.pdfMay Marketo Masterclass, London MUG May 22 2024.pdf
May Marketo Masterclass, London MUG May 22 2024.pdf
 

Detecting unengaged or careless responses in spss

  • 1. Data Screening: Unengaged Responses Contents: •Unengaged/ Careless Responses in SPSS Dr. Raheem Bux Soomro Associate Professor Shah Abdul Latif University Pakistan Data Analysis with Statistics Made Easy SPSS Training session (theory and Practical)
  • 2. Data Screening Trainer: Dr. Raheem Bux Soomro2 Missing Data Detecting Unengaged Responses Detecting Outliers Normality Linearity Homoscedasticity Multicollinearity • In this section I will focus on six specific issues that need to be addressed when cleaning (not cooking) your data.
  • 3. Trainer: Dr. Raheem Bux Soomro 3 Unengaged Responses
  • 4. Trainer: Dr. Raheem Bux Soomro 4 Unengaged Responses
  • 5. Trainer: Dr. Raheem Bux Soomro 5 • When someone is taking your survey but is not paying attention. Unengaged Responses
  • 6. Trainer: Dr. Raheem Bux Soomro 6 Why to calculate Standard Deviation (SD)? • Standard deviation measures the spread of a data distribution. • The more spread out a data distribution is, the greater its standard deviation. • SD is a special form of average deviation from the mean. Unengaged Responses
  • 7. Trainer: Dr. Raheem Bux Soomro 7 • A standard deviation close to 000 indicates that the data points tend to be close to the mean (shown by the red line). Unengaged Responses
  • 8. Trainer: Dr. Raheem Bux Soomro 8 Unengaged Responses
  • 9. You may watch an informative and practical video on these topics by visiting following link: https://www.youtube.com/watch?v=gGPA0JQhGNQ&list=PLR- G0fx7eecvxebU-dtXgWBQ3wu05Z0z-&index=8