SlideShare a Scribd company logo
1 of 26
Central Tendency, Spread, or Symmetry?
How many dependent variables does your question
have?
One Two or More
Central Tendency, Spread, or Symmetry?
What is a dependent variable?
The dependent variable is the thing
Central Tendency, Spread, or Symmetry?
What is a dependent variable?
The dependent variable is the thing being influenced
Central Tendency, Spread, or Symmetry?
dependent variable
Does Age influence Driving Speed?
Do Bonuses influence Employee Productivity?
Do Promotions influence Employee Retention?
What is a dependent variable?
The dependent variable is the thing being influenced
Central Tendency, Spread, or Symmetry?
Explanatory Variable
Does Age influence Driving Speed?
Do Bonuses influence Employee Productivity?
Do Promotions influence Employee Retention?
What is an explanatory variable interest?
The explanatory variable is the thing doing the influencing
Example of a question with
ONE dependent variable
Example of a question with
ONE dependent variable
Does the new employee self-initiative plan increase
employee productivity?
1
Example of a question with
TWO dependent variables
Example of a question with
TWO dependent variables
Does the new employee self-initiative plan increase
employee productivity and employee retention?
1 2
Let’s Practice!
How many variables of interest are there in each
question that follows?
One Two or More
Does the morning, afternoon, or evening shifts
have the highest employee satisfaction rates?
One Two or More
Does the morning, afternoon, or evening shifts
have the highest employee satisfaction rates?
One Two or More
Does the morning, afternoon, or evening shifts
have the highest employee satisfaction rates?
One Two or More
Does the morning, afternoon, or evening shifts
have the highest employee satisfaction rates?
Explanatory Variable dependent variable
Assigned shift influence Employee satisfaction rates 1
Next Example
One Two or More
Does product A or B produce higher profits and
lower costs?
One Two or More
Does product A or B produce higher profits and
lower costs?
One Two or More
Does product A or B produce higher profits and
lower costs?
One Two or More
Does product A or B produce higher profits and
lower costs?
Explanatory Variable dependent variables
Product type (A or B) Higher profits
Lower costs
1
2
Final Example
One Two or More
Which training method (A, B, or C) brings about
greater trainee proficiency?
One Two or More
Which training method (A, B, or C) brings about
greater trainee proficiency?
One Two or More
Which training method (A, B, or C) brings about
greater trainee proficiency?
One Two or More
Which training method (A, B, or C) brings about
greater trainee proficiency?
Explanatory Variable dependent variable
Training Method Training proficiency 1
Central Tendency, Spread, or Symmetry?
Return to your original question. How many
dependent variables does your question have?
One Two or More

More Related Content

Similar to Dependent variable je jit - practice

Independent variable je jit - practice
Independent variable   je jit - practiceIndependent variable   je jit - practice
Independent variable je jit - practiceKen Plummer
 
Return on Investment On Training
Return on Investment On TrainingReturn on Investment On Training
Return on Investment On Trainingalyson.pellowe
 
1  Kaplan University School of Health Sciences HI2.docx
1  Kaplan University School of Health Sciences HI2.docx1  Kaplan University School of Health Sciences HI2.docx
1  Kaplan University School of Health Sciences HI2.docxSONU61709
 
Business communication ppt @ bec doms mba
Business communication ppt @ bec doms mbaBusiness communication ppt @ bec doms mba
Business communication ppt @ bec doms mbaBabasab Patil
 
How to Measure the Impact of Soft Skills Training | Webinar 10.21.15
How to Measure the Impact of Soft Skills Training | Webinar 10.21.15How to Measure the Impact of Soft Skills Training | Webinar 10.21.15
How to Measure the Impact of Soft Skills Training | Webinar 10.21.15BizLibrary
 
Theory of Change
Theory of ChangeTheory of Change
Theory of Changeclearsateam
 
Building Employee Retention vs. Loyalty
Building Employee Retention vs. LoyaltyBuilding Employee Retention vs. Loyalty
Building Employee Retention vs. LoyaltyHuman Capital Media
 
High Levels of Motivation
High Levels of Motivation High Levels of Motivation
High Levels of Motivation Bailey LeRoux
 
CHAPTER FIVESuccess Case Methodology in Measurement and Evaluati.docx
CHAPTER FIVESuccess Case Methodology in Measurement and Evaluati.docxCHAPTER FIVESuccess Case Methodology in Measurement and Evaluati.docx
CHAPTER FIVESuccess Case Methodology in Measurement and Evaluati.docxmccormicknadine86
 
Introduction to Lean and PDSA Thinking
Introduction to Lean and PDSA ThinkingIntroduction to Lean and PDSA Thinking
Introduction to Lean and PDSA ThinkingRachel Janzen
 
Unleash The Drive To Excel
Unleash The Drive To ExcelUnleash The Drive To Excel
Unleash The Drive To ExcelThe Bailey Group
 
Business experimentation
Business experimentationBusiness experimentation
Business experimentationHelge Tennø
 
Training as part of Lean Change Management
Training as part of Lean Change ManagementTraining as part of Lean Change Management
Training as part of Lean Change ManagementJeremiah Genest
 
Tm coaching and feedback
Tm  coaching and feedbackTm  coaching and feedback
Tm coaching and feedbackSue Liu
 
Tmic coaching and feedback
Tmic  coaching and feedbackTmic  coaching and feedback
Tmic coaching and feedbackAIESEC
 
Focus on Performance
Focus on PerformanceFocus on Performance
Focus on PerformanceDavid Goodman
 
Turning Performance Feedback Into Positive Employee Engagement
Turning Performance Feedback Into Positive Employee EngagementTurning Performance Feedback Into Positive Employee Engagement
Turning Performance Feedback Into Positive Employee EngagementTalentMap
 
Business communication
Business communicationBusiness communication
Business communicationbou_issam
 
Employee Development Management PowerPoint Presentation Slides
Employee Development Management PowerPoint Presentation Slides Employee Development Management PowerPoint Presentation Slides
Employee Development Management PowerPoint Presentation Slides SlideTeam
 

Similar to Dependent variable je jit - practice (20)

Independent variable je jit - practice
Independent variable   je jit - practiceIndependent variable   je jit - practice
Independent variable je jit - practice
 
Return on Investment On Training
Return on Investment On TrainingReturn on Investment On Training
Return on Investment On Training
 
1  Kaplan University School of Health Sciences HI2.docx
1  Kaplan University School of Health Sciences HI2.docx1  Kaplan University School of Health Sciences HI2.docx
1  Kaplan University School of Health Sciences HI2.docx
 
Business communication ppt @ bec doms mba
Business communication ppt @ bec doms mbaBusiness communication ppt @ bec doms mba
Business communication ppt @ bec doms mba
 
How to Measure the Impact of Soft Skills Training | Webinar 10.21.15
How to Measure the Impact of Soft Skills Training | Webinar 10.21.15How to Measure the Impact of Soft Skills Training | Webinar 10.21.15
How to Measure the Impact of Soft Skills Training | Webinar 10.21.15
 
Theory of Change
Theory of ChangeTheory of Change
Theory of Change
 
Building Employee Retention vs. Loyalty
Building Employee Retention vs. LoyaltyBuilding Employee Retention vs. Loyalty
Building Employee Retention vs. Loyalty
 
Edinger -Bringing science to the art
Edinger -Bringing science to the art Edinger -Bringing science to the art
Edinger -Bringing science to the art
 
High Levels of Motivation
High Levels of Motivation High Levels of Motivation
High Levels of Motivation
 
CHAPTER FIVESuccess Case Methodology in Measurement and Evaluati.docx
CHAPTER FIVESuccess Case Methodology in Measurement and Evaluati.docxCHAPTER FIVESuccess Case Methodology in Measurement and Evaluati.docx
CHAPTER FIVESuccess Case Methodology in Measurement and Evaluati.docx
 
Introduction to Lean and PDSA Thinking
Introduction to Lean and PDSA ThinkingIntroduction to Lean and PDSA Thinking
Introduction to Lean and PDSA Thinking
 
Unleash The Drive To Excel
Unleash The Drive To ExcelUnleash The Drive To Excel
Unleash The Drive To Excel
 
Business experimentation
Business experimentationBusiness experimentation
Business experimentation
 
Training as part of Lean Change Management
Training as part of Lean Change ManagementTraining as part of Lean Change Management
Training as part of Lean Change Management
 
Tm coaching and feedback
Tm  coaching and feedbackTm  coaching and feedback
Tm coaching and feedback
 
Tmic coaching and feedback
Tmic  coaching and feedbackTmic  coaching and feedback
Tmic coaching and feedback
 
Focus on Performance
Focus on PerformanceFocus on Performance
Focus on Performance
 
Turning Performance Feedback Into Positive Employee Engagement
Turning Performance Feedback Into Positive Employee EngagementTurning Performance Feedback Into Positive Employee Engagement
Turning Performance Feedback Into Positive Employee Engagement
 
Business communication
Business communicationBusiness communication
Business communication
 
Employee Development Management PowerPoint Presentation Slides
Employee Development Management PowerPoint Presentation Slides Employee Development Management PowerPoint Presentation Slides
Employee Development Management PowerPoint Presentation Slides
 

More from Ken Plummer

Learn About Range - Copyright updated
Learn About Range - Copyright updatedLearn About Range - Copyright updated
Learn About Range - Copyright updatedKen Plummer
 
Inferential vs descriptive tutorial of when to use - Copyright Updated
Inferential vs descriptive tutorial of when to use - Copyright UpdatedInferential vs descriptive tutorial of when to use - Copyright Updated
Inferential vs descriptive tutorial of when to use - Copyright UpdatedKen Plummer
 
Diff rel ind-fit practice - Copyright Updated
Diff rel ind-fit practice - Copyright UpdatedDiff rel ind-fit practice - Copyright Updated
Diff rel ind-fit practice - Copyright UpdatedKen Plummer
 
Normal or skewed distributions (inferential) - Copyright updated
Normal or skewed distributions (inferential) - Copyright updatedNormal or skewed distributions (inferential) - Copyright updated
Normal or skewed distributions (inferential) - Copyright updatedKen Plummer
 
Normal or skewed distributions (descriptive both2) - Copyright updated
Normal or skewed distributions (descriptive both2) - Copyright updatedNormal or skewed distributions (descriptive both2) - Copyright updated
Normal or skewed distributions (descriptive both2) - Copyright updatedKen Plummer
 
Nature of the data practice - Copyright updated
Nature of the data practice - Copyright updatedNature of the data practice - Copyright updated
Nature of the data practice - Copyright updatedKen Plummer
 
Nature of the data (spread) - Copyright updated
Nature of the data (spread) - Copyright updatedNature of the data (spread) - Copyright updated
Nature of the data (spread) - Copyright updatedKen Plummer
 
Mode practice 1 - Copyright updated
Mode practice 1 - Copyright updatedMode practice 1 - Copyright updated
Mode practice 1 - Copyright updatedKen Plummer
 
Nature of the data (descriptive) - Copyright updated
Nature of the data (descriptive) - Copyright updatedNature of the data (descriptive) - Copyright updated
Nature of the data (descriptive) - Copyright updatedKen Plummer
 
Dichotomous or scaled
Dichotomous or scaledDichotomous or scaled
Dichotomous or scaledKen Plummer
 
Skewed less than 30 (ties)
Skewed less than 30 (ties)Skewed less than 30 (ties)
Skewed less than 30 (ties)Ken Plummer
 
Skewed sample size less than 30
Skewed sample size less than 30Skewed sample size less than 30
Skewed sample size less than 30Ken Plummer
 
Ordinal and nominal
Ordinal and nominalOrdinal and nominal
Ordinal and nominalKen Plummer
 
Relationship covariates
Relationship   covariatesRelationship   covariates
Relationship covariatesKen Plummer
 
Relationship nature of data
Relationship nature of dataRelationship nature of data
Relationship nature of dataKen Plummer
 
Number of variables (predictive)
Number of variables (predictive)Number of variables (predictive)
Number of variables (predictive)Ken Plummer
 
Predictive or arbitrary
Predictive or arbitraryPredictive or arbitrary
Predictive or arbitraryKen Plummer
 
Nature of the data (descriptive)
Nature of the data (descriptive)Nature of the data (descriptive)
Nature of the data (descriptive)Ken Plummer
 
Independent samples t test - run, select, interpret
Independent samples t test - run, select, interpretIndependent samples t test - run, select, interpret
Independent samples t test - run, select, interpretKen Plummer
 

More from Ken Plummer (20)

Learn About Range - Copyright updated
Learn About Range - Copyright updatedLearn About Range - Copyright updated
Learn About Range - Copyright updated
 
Inferential vs descriptive tutorial of when to use - Copyright Updated
Inferential vs descriptive tutorial of when to use - Copyright UpdatedInferential vs descriptive tutorial of when to use - Copyright Updated
Inferential vs descriptive tutorial of when to use - Copyright Updated
 
Diff rel ind-fit practice - Copyright Updated
Diff rel ind-fit practice - Copyright UpdatedDiff rel ind-fit practice - Copyright Updated
Diff rel ind-fit practice - Copyright Updated
 
Normal or skewed distributions (inferential) - Copyright updated
Normal or skewed distributions (inferential) - Copyright updatedNormal or skewed distributions (inferential) - Copyright updated
Normal or skewed distributions (inferential) - Copyright updated
 
Normal or skewed distributions (descriptive both2) - Copyright updated
Normal or skewed distributions (descriptive both2) - Copyright updatedNormal or skewed distributions (descriptive both2) - Copyright updated
Normal or skewed distributions (descriptive both2) - Copyright updated
 
Nature of the data practice - Copyright updated
Nature of the data practice - Copyright updatedNature of the data practice - Copyright updated
Nature of the data practice - Copyright updated
 
Nature of the data (spread) - Copyright updated
Nature of the data (spread) - Copyright updatedNature of the data (spread) - Copyright updated
Nature of the data (spread) - Copyright updated
 
Mode practice 1 - Copyright updated
Mode practice 1 - Copyright updatedMode practice 1 - Copyright updated
Mode practice 1 - Copyright updated
 
Nature of the data (descriptive) - Copyright updated
Nature of the data (descriptive) - Copyright updatedNature of the data (descriptive) - Copyright updated
Nature of the data (descriptive) - Copyright updated
 
Dichotomous or scaled
Dichotomous or scaledDichotomous or scaled
Dichotomous or scaled
 
Skewed less than 30 (ties)
Skewed less than 30 (ties)Skewed less than 30 (ties)
Skewed less than 30 (ties)
 
Skewed sample size less than 30
Skewed sample size less than 30Skewed sample size less than 30
Skewed sample size less than 30
 
Ordinal (ties)
Ordinal (ties)Ordinal (ties)
Ordinal (ties)
 
Ordinal and nominal
Ordinal and nominalOrdinal and nominal
Ordinal and nominal
 
Relationship covariates
Relationship   covariatesRelationship   covariates
Relationship covariates
 
Relationship nature of data
Relationship nature of dataRelationship nature of data
Relationship nature of data
 
Number of variables (predictive)
Number of variables (predictive)Number of variables (predictive)
Number of variables (predictive)
 
Predictive or arbitrary
Predictive or arbitraryPredictive or arbitrary
Predictive or arbitrary
 
Nature of the data (descriptive)
Nature of the data (descriptive)Nature of the data (descriptive)
Nature of the data (descriptive)
 
Independent samples t test - run, select, interpret
Independent samples t test - run, select, interpretIndependent samples t test - run, select, interpret
Independent samples t test - run, select, interpret
 

Recently uploaded

Pharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfPharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfMahmoud M. Sallam
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionSafetyChain Software
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxpboyjonauth
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxGaneshChakor2
 
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
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting DataJhengPantaleon
 
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
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxiammrhaywood
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdfssuser54595a
 
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
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsanshu789521
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTiammrhaywood
 
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
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdfSoniaTolstoy
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon AUnboundStockton
 

Recently uploaded (20)

Pharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfPharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdf
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdf
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory Inspection
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.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🔝
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptx
 
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
 
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🔝
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
 
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
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application )
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha elections
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
 
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
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon A
 

Dependent variable je jit - practice

  • 1. Central Tendency, Spread, or Symmetry? How many dependent variables does your question have? One Two or More
  • 2. Central Tendency, Spread, or Symmetry? What is a dependent variable? The dependent variable is the thing
  • 3. Central Tendency, Spread, or Symmetry? What is a dependent variable? The dependent variable is the thing being influenced
  • 4. Central Tendency, Spread, or Symmetry? dependent variable Does Age influence Driving Speed? Do Bonuses influence Employee Productivity? Do Promotions influence Employee Retention? What is a dependent variable? The dependent variable is the thing being influenced
  • 5. Central Tendency, Spread, or Symmetry? Explanatory Variable Does Age influence Driving Speed? Do Bonuses influence Employee Productivity? Do Promotions influence Employee Retention? What is an explanatory variable interest? The explanatory variable is the thing doing the influencing
  • 6. Example of a question with ONE dependent variable
  • 7. Example of a question with ONE dependent variable Does the new employee self-initiative plan increase employee productivity? 1
  • 8. Example of a question with TWO dependent variables
  • 9. Example of a question with TWO dependent variables Does the new employee self-initiative plan increase employee productivity and employee retention? 1 2
  • 11. How many variables of interest are there in each question that follows?
  • 12. One Two or More Does the morning, afternoon, or evening shifts have the highest employee satisfaction rates?
  • 13. One Two or More Does the morning, afternoon, or evening shifts have the highest employee satisfaction rates?
  • 14. One Two or More Does the morning, afternoon, or evening shifts have the highest employee satisfaction rates?
  • 15. One Two or More Does the morning, afternoon, or evening shifts have the highest employee satisfaction rates? Explanatory Variable dependent variable Assigned shift influence Employee satisfaction rates 1
  • 17. One Two or More Does product A or B produce higher profits and lower costs?
  • 18. One Two or More Does product A or B produce higher profits and lower costs?
  • 19. One Two or More Does product A or B produce higher profits and lower costs?
  • 20. One Two or More Does product A or B produce higher profits and lower costs? Explanatory Variable dependent variables Product type (A or B) Higher profits Lower costs 1 2
  • 22. One Two or More Which training method (A, B, or C) brings about greater trainee proficiency?
  • 23. One Two or More Which training method (A, B, or C) brings about greater trainee proficiency?
  • 24. One Two or More Which training method (A, B, or C) brings about greater trainee proficiency?
  • 25. One Two or More Which training method (A, B, or C) brings about greater trainee proficiency? Explanatory Variable dependent variable Training Method Training proficiency 1
  • 26. Central Tendency, Spread, or Symmetry? Return to your original question. How many dependent variables does your question have? One Two or More