SlideShare a Scribd company logo
1 of 63
Is your question a question of:
Difference? Relationship?
Goodness of Fit?Independence?
Is your question a question of: Difference?
Difference
How do two or more groups compare with one another in
terms of some outcome?
Difference
How do two or more groups (younger/older drivers) compare
with one another in terms of some outcome (average driving
speed)?
Difference
How do two or more groups (younger/older drivers) compare
with one another in terms of some outcome (average driving
speed)?
vs.
average MPHolder driver younger driver
in terms of
Difference
How do two or more groups (those with migraines / those
without migraines) compare with one another in terms of
some outcome (average sugar intake)?
vs.
migraine no migraine
average sugar
intake
in terms of
Difference
How do two or more groups (sophomores/juniors/seniors)
compare with one another in terms of some outcome
(average amount of homework)?
sophomore
vs.
average amount
of homework
in terms of
junior senior
vs.
In summary
Difference
How do two or more groups compare with one another in
terms of some outcome?
vs.
vs.
migraine no migraine
average MPHolder driver younger driver
average sugar
intake
in terms of
in terms of
sophomore
vs.
average amount
Of homework
in terms of
junior senior
vs.
Is your question a question of: Relationship?
Relationship
Is a change in one characteristic accompanied by a change in
another characteristic?
Relationship
Is a change in one characteristic (age) accompanied by a
change in another characteristic (flexibility)?
Relationship
Is a change in one characteristic (age) accompanied by a
change in another characteristic (flexibility)?
Is an increase in accompanied by a decrease in
Relationship
Is a change in one characteristic (height) accompanied by a
change in another characteristic (weight)?
Is an increase in accompanied by a increase in
Relationship
Is a change in one characteristic (speed) accompanied by a
change in another characteristic (road rage incidents)?
Is an decrease in accompanied by a decrease in
In summary
Relationship
Is a change in one characteristic accompanied by a change in
another characteristic?
Is an increase in accompanied by a decrease in
Is an increase in accompanied by a increase in
Is an decrease in accompanied by a decrease in
Is your question a question of: Independence?
Independence
Is one variable with two or more levels independent of
another variable with two or more levels?
Independence
Is one variable (university enrollment) with two or more levels
(enrolled or not enrolled) independent of another variable
(state residence) with two or more levels (resident or not)?
Example 1 – Independent
Independence
Is one variable (university enrollment) with two or more levels
(enrolled or not enrolled) independent of another variable
(state residence) with two or more levels (resident or not)?
enrolled not enrolled
resident 20 students 20 students
not a resident 20 students 20 students
Example 1 – Independent
Independence
Is one variable (university enrollment) with two or more levels
(enrolled or not enrolled) independent of another variable
(state residence) with two or more levels (resident or not)?
enrolled not enrolled
resident 20 students 20 students
not a resident 20 students 20 students
Example 1 – Independent
Enrollment and state residence are
independent, because being a
resident or non resident doesn’t
make it more likely you are enrolled.
Independence
Is one variable (university enrollment) with two or more levels
(enrolled or not enrolled) independent of another variable
(state residence) with two or more levels (resident or not)?
enrolled not enrolled
resident 20 students 20 students
not a resident 20 students 20 students
enrolled not enrolled
resident 10 students 30 students
not a resident 30 students 10 students
Example 1 – Independent
Enrollment and state residence are
dependent, because being a non-
resident makes it more likely you are
enrolled.
Enrollment and state residence are
independent, because being a
resident or non resident doesn’t
make it more likely you are enrolled.
Example 2 - Dependent
Independence
Is one variable (university enrollment) with two or more levels
(enrolled or not enrolled) independent of another variable
(state residence) with two or more levels (resident or not)?
Independence
Is one variable (year in school) with two or more levels (9th,
10th, 11th, 12th) independent of another variable (foreign
language ability) of two or more levels (fluent or not)?
Independence
Is one variable (year in school) with two or more levels (9th,
10th, 11th, 12th) independent of another variable (foreign
language ability) of two or more levels (fluent or not)?
9th 10th 11th 12th
fluent 200 300 200 250
not fluent 200 300 200 250
Example 1 – Independent
Independence
Is one variable (year in school) with two or more levels (9th,
10th, 11th, 12th) independent of another variable (foreign
language ability) of two or more levels (fluent or not)?
9th 10th 11th 12th
fluent 200 300 200 250
not fluent 200 300 200 250
Example 1 – Independent
Fluency is independent of year in
school because being in a lower or
upper class doesn’t make it more
likely that you are fluent.
Independence
Is one variable (year in school) with two or more levels (9th,
10th, 11th, 12th) independent of another variable (foreign
language ability) of two or more levels (fluent or not)?
9th 10th 11th 12th
fluent 200 300 200 250
not fluent 200 300 200 250
Example 1 – Independent
Fluency is independent of year in
school because being in a lower or
upper class doesn’t make it more
likely that you are fluent.
9th 10th 11th 12th
fluent 100 100 200 400
not fluent 300 400 100 100
Example 2 – Independent
Independence
Is one variable (year in school) with two or more levels (9th,
10th, 11th, 12th) independent of another variable (foreign
language ability) of two or more levels (fluent or not)?
9th 10th 11th 12th
fluent 200 300 200 250
not fluent 200 300 200 250
Example 1 – Independent
Fluency is independent of year in
school because being in a lower or
upper class doesn’t make it more
likely that you are fluent.
9th 10th 11th 12th
fluent 100 100 200 400
not fluent 300 400 100 100
Example 2 – Independent
Fluency is dependent on year in
school because being in an upper
class makes it more likely that you
are fluent.
In summary
Independence
Is one variable with two or more levels independent of
another variable with two or more levels?
Independence
Is one variable with two or more levels independent of
another variable with two or more levels?
enrolled not enrolled
resident 20 students 20 students
not a resident 20 students 20 students
Is university enrollment
independent of state residency?
Independence
Is one variable with two or more levels independent of
another variable with two or more levels?
9th 10th 11th 12th
fluent 200 300 200 250
not fluent 200 300 200 250
enrolled not enrolled
resident 20 students 20 students
not a resident 20 students 20 students
Is university enrollment
independent of state residency?
Is year in school independent
foreign language fluency?
Is your question a question of: Goodness of Fit?
Goodness of Fit
Does your claim fit reality?
(4 out of 5 dentist recommend flavored floss) (3 out of 5 of
your dentist friends recommend flavored floss)
Goodness of Fit
Does your claim (4 out of 5 dentist recommend flavored floss)
fit reality (3 out of 5 of your dentist friends recommend
flavored floss)?
Goodness of Fit
Does your claim (4 out of 5 dentist recommend flavored floss)
fit reality (3 out of 5 of your dentist friends recommend
flavored floss)?
Does the CLAIM . . . FIT REALITY?
4 out of 5
recommend
3 out of 5
recommend
Goodness of Fit
Does your claim (72% of the county will vote democrat) fit
reality (65% of the county actually voted democrat)?
Does the CLAIM . . . FIT REALITY?
65% 72%
18%35%
In summary
Goodness of Fit
Does your claim fit reality?
(4 out of 5 dentist recommend flavored floss) (3 out of 5 of
your dentist friends recommend flavored floss)
Goodness of Fit
Does your claim fit reality?
(4 out of 5 dentist recommend flavored floss) (3 out of 5 of
your dentist friends recommend flavored floss)
4 out of 5
recommend
3 out of 5
recommend
65% 72%
18%35%
The Claim The Reality
The Claim The Reality
Final Summary
Final Summary
Difference – (average) between groups. vs.
Relationship – increase or decrease in two variables
Independence – two+ levels by two+ levels.
Does the CLAIM . . . FIT REALITY?
Goodness of Fit – claim versus reality
Let’s Practice!
Does employee moral increase significantly the
longer employees work at Company X? You
sample a group of 45 and generalize the results.
Difference? Relationship?
Independence? Goodness of Fit?
Does employee moral increase significantly the
longer employees work at Company X? You
sample a group of 45 and generalize the results.
Difference? Relationship?
Independence? Goodness of Fit?
Does employee moral increase significantly the
longer employees work at Company X? You
sample a group of 45 and generalize the results.
Difference? Relationship?
Independence? Goodness of Fit?
Does employee moral increase significantly the
longer employees work at Company X? You
sample a group of 45 and generalize the results.
Is a change in one characteristic (moral) accompanied by a
change in another characteristic (time worked)?
Difference? Relationship?
Independence? Goodness of Fit?
Next Example
How do management and staff compare in
terms of average work satisfaction? You sample
both groups and generalize the results.
Difference? Relationship?
Independence? Goodness of Fit?
How do management and staff compare in
terms of average work satisfaction? You sample
both groups and generalize the results.
Difference? Relationship?
Independence? Goodness of Fit?
How do management and staff compare in
terms of average work satisfaction? You sample
both groups and generalize the results.
Difference? Relationship?
Independence? Goodness of Fit?
How do management and staff compare in
terms of average work satisfaction? You sample
both groups and generalize the results.
Difference? Relationship?
Independence? Goodness of Fit?
How do two or more groups (management/staff) compare
with one another in terms of some outcome (average work
satisfaction)?
Next Example
A salesman claims that 95% of employees
increase their work productivity using his
software. You test that claim with a sample of 26
employees and find that 86% increase their
productivity.
Difference? Relationship?
Independence? Goodness of Fit?
A salesman claims that 95% of employees
increase their work productivity using his
software. You test that claim with a sample of 26
employees and find that 86% increase their
productivity.
Difference? Relationship?
Independence? Goodness of Fit?
A salesman claims that 95% of employees
increase their work productivity using his
software. You test that claim with a sample of
26 employees and find that 86% increase their
productivity.
Difference? Relationship?
Independence? Goodness of Fit?
A salesman claims that 95% of employees
increase their work productivity using his
software. You test that claim with a sample of
26 employees and find that 86% increase their
productivity.
Difference? Relationship?
Independence? Goodness of Fit?
Does your claim (95% increase work productivity) fit reality
(86% increase work productivity)?
Is religious affiliation independent of age levels
(young, prime, mature, and seasoned)?
Difference? Relationship?
Independence? Goodness of Fit?
Is religious affiliation independent of age levels
(young, prime, mature, and seasoned)?
Difference? Relationship?
Independence? Goodness of Fit?
Is religious affiliation independent of age levels
(young, prime, mature, and seasoned)?
Difference? Relationship?
Independence? Goodness of Fit?
Is religious affiliation independent of age levels
(young, prime, mature, and seasoned)?
Difference? Relationship?
Independence? Goodness of Fit?
Is one variable with two or more levels (religious affiliation)
independent of another variable with two or more levels
(age levels)?
Is your question a question of:
Difference? Relationship?
Goodness of Fit?Independence?

More Related Content

Similar to Comparing Groups & Variables

Ordinal and nominal
Ordinal and nominalOrdinal and nominal
Ordinal and nominalKen Plummer
 
Rocky Mountain Prep Message Training
Rocky Mountain Prep Message TrainingRocky Mountain Prep Message Training
Rocky Mountain Prep Message TrainingMegaphone Man
 
$320,000 Kindergarten Teachers
$320,000 Kindergarten Teachers$320,000 Kindergarten Teachers
$320,000 Kindergarten TeachersJim Hsia
 
Relationship nature of data
Relationship nature of dataRelationship nature of data
Relationship nature of dataKen Plummer
 
For each of the research questions below, identify the variables a.docx
For each of the research questions below, identify the variables a.docxFor each of the research questions below, identify the variables a.docx
For each of the research questions below, identify the variables a.docxbudbarber38650
 
Inferring or describing - practice problems
Inferring or describing -  practice problemsInferring or describing -  practice problems
Inferring or describing - practice problemsKen Plummer
 
Private Schools in India: More Learning, More Inequality
Private Schools in India: More Learning, More InequalityPrivate Schools in India: More Learning, More Inequality
Private Schools in India: More Learning, More InequalityYoung Lives Oxford
 
The High Cost of Low Educational Performance
The High Cost of Low Educational PerformanceThe High Cost of Low Educational Performance
The High Cost of Low Educational PerformanceMike Blamires
 
Difference relationship independence goodness of fit (practice)
Difference relationship independence goodness of fit (practice)Difference relationship independence goodness of fit (practice)
Difference relationship independence goodness of fit (practice)Ken Plummer
 
Higher Education Attitudes Survey
Higher Education Attitudes SurveyHigher Education Attitudes Survey
Higher Education Attitudes SurveyJeffrey Henning
 
INTERPRETING MEASURE OF POSITION.pptx
INTERPRETING MEASURE OF POSITION.pptxINTERPRETING MEASURE OF POSITION.pptx
INTERPRETING MEASURE OF POSITION.pptxHannahSheena
 
Geneticschapter1 140126121555-phpapp02
Geneticschapter1 140126121555-phpapp02Geneticschapter1 140126121555-phpapp02
Geneticschapter1 140126121555-phpapp02Cleophas Rwemera
 
12th Grade Senior Parent Night 2014
12th Grade Senior Parent Night 201412th Grade Senior Parent Night 2014
12th Grade Senior Parent Night 2014Jenny Gildon
 

Similar to Comparing Groups & Variables (15)

The Achievement Gap
The Achievement GapThe Achievement Gap
The Achievement Gap
 
Ordinal and nominal
Ordinal and nominalOrdinal and nominal
Ordinal and nominal
 
Rocky Mountain Prep Message Training
Rocky Mountain Prep Message TrainingRocky Mountain Prep Message Training
Rocky Mountain Prep Message Training
 
03_Variables.pptx
03_Variables.pptx03_Variables.pptx
03_Variables.pptx
 
$320,000 Kindergarten Teachers
$320,000 Kindergarten Teachers$320,000 Kindergarten Teachers
$320,000 Kindergarten Teachers
 
Relationship nature of data
Relationship nature of dataRelationship nature of data
Relationship nature of data
 
For each of the research questions below, identify the variables a.docx
For each of the research questions below, identify the variables a.docxFor each of the research questions below, identify the variables a.docx
For each of the research questions below, identify the variables a.docx
 
Inferring or describing - practice problems
Inferring or describing -  practice problemsInferring or describing -  practice problems
Inferring or describing - practice problems
 
Private Schools in India: More Learning, More Inequality
Private Schools in India: More Learning, More InequalityPrivate Schools in India: More Learning, More Inequality
Private Schools in India: More Learning, More Inequality
 
The High Cost of Low Educational Performance
The High Cost of Low Educational PerformanceThe High Cost of Low Educational Performance
The High Cost of Low Educational Performance
 
Difference relationship independence goodness of fit (practice)
Difference relationship independence goodness of fit (practice)Difference relationship independence goodness of fit (practice)
Difference relationship independence goodness of fit (practice)
 
Higher Education Attitudes Survey
Higher Education Attitudes SurveyHigher Education Attitudes Survey
Higher Education Attitudes Survey
 
INTERPRETING MEASURE OF POSITION.pptx
INTERPRETING MEASURE OF POSITION.pptxINTERPRETING MEASURE OF POSITION.pptx
INTERPRETING MEASURE OF POSITION.pptx
 
Geneticschapter1 140126121555-phpapp02
Geneticschapter1 140126121555-phpapp02Geneticschapter1 140126121555-phpapp02
Geneticschapter1 140126121555-phpapp02
 
12th Grade Senior Parent Night 2014
12th Grade Senior Parent Night 201412th Grade Senior Parent Night 2014
12th Grade Senior Parent Night 2014
 

More from Ken Plummer

Diff rel gof-fit - jejit - practice (5)
Diff rel gof-fit - jejit - practice (5)Diff rel gof-fit - jejit - practice (5)
Diff rel gof-fit - jejit - practice (5)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
 
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
 
Relationship covariates
Relationship   covariatesRelationship   covariates
Relationship covariatesKen Plummer
 
Number of variables (predictive)
Number of variables (predictive)Number of variables (predictive)
Number of variables (predictive)Ken Plummer
 
Levels of the iv
Levels of the ivLevels of the iv
Levels of the ivKen Plummer
 
Dependent variable je jit - practice
Dependent variable   je jit - practiceDependent variable   je jit - practice
Dependent variable je jit - practiceKen 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)

Diff rel gof-fit - jejit - practice (5)
Diff rel gof-fit - jejit - practice (5)Diff rel gof-fit - jejit - practice (5)
Diff rel gof-fit - jejit - practice (5)
 
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
 
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)
 
Relationship covariates
Relationship   covariatesRelationship   covariates
Relationship covariates
 
Number of variables (predictive)
Number of variables (predictive)Number of variables (predictive)
Number of variables (predictive)
 
Levels of the iv
Levels of the ivLevels of the iv
Levels of the iv
 
Dependent variable je jit - practice
Dependent variable   je jit - practiceDependent variable   je jit - practice
Dependent variable je jit - practice
 
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

Call Girls in Gomti Nagar - 7388211116 - With room Service
Call Girls in Gomti Nagar - 7388211116  - With room ServiceCall Girls in Gomti Nagar - 7388211116  - With room Service
Call Girls in Gomti Nagar - 7388211116 - With room Servicediscovermytutordmt
 
RE Capital's Visionary Leadership under Newman Leech
RE Capital's Visionary Leadership under Newman LeechRE Capital's Visionary Leadership under Newman Leech
RE Capital's Visionary Leadership under Newman LeechNewman George Leech
 
Pitch Deck Teardown: NOQX's $200k Pre-seed deck
Pitch Deck Teardown: NOQX's $200k Pre-seed deckPitch Deck Teardown: NOQX's $200k Pre-seed deck
Pitch Deck Teardown: NOQX's $200k Pre-seed deckHajeJanKamps
 
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In.../:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...lizamodels9
 
rishikeshgirls.in- Rishikesh call girl.pdf
rishikeshgirls.in- Rishikesh call girl.pdfrishikeshgirls.in- Rishikesh call girl.pdf
rishikeshgirls.in- Rishikesh call girl.pdfmuskan1121w
 
VIP Call Girls Pune Kirti 8617697112 Independent Escort Service Pune
VIP Call Girls Pune Kirti 8617697112 Independent Escort Service PuneVIP Call Girls Pune Kirti 8617697112 Independent Escort Service Pune
VIP Call Girls Pune Kirti 8617697112 Independent Escort Service PuneCall girls in Ahmedabad High profile
 
VIP Kolkata Call Girl Howrah 👉 8250192130 Available With Room
VIP Kolkata Call Girl Howrah 👉 8250192130  Available With RoomVIP Kolkata Call Girl Howrah 👉 8250192130  Available With Room
VIP Kolkata Call Girl Howrah 👉 8250192130 Available With Roomdivyansh0kumar0
 
Keppel Ltd. 1Q 2024 Business Update Presentation Slides
Keppel Ltd. 1Q 2024 Business Update  Presentation SlidesKeppel Ltd. 1Q 2024 Business Update  Presentation Slides
Keppel Ltd. 1Q 2024 Business Update Presentation SlidesKeppelCorporation
 
GD Birla and his contribution in management
GD Birla and his contribution in managementGD Birla and his contribution in management
GD Birla and his contribution in managementchhavia330
 
Progress Report - Oracle Database Analyst Summit
Progress  Report - Oracle Database Analyst SummitProgress  Report - Oracle Database Analyst Summit
Progress Report - Oracle Database Analyst SummitHolger Mueller
 
BEST Call Girls In Greater Noida ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Greater Noida ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,BEST Call Girls In Greater Noida ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Greater Noida ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,noida100girls
 
M.C Lodges -- Guest House in Jhang.
M.C Lodges --  Guest House in Jhang.M.C Lodges --  Guest House in Jhang.
M.C Lodges -- Guest House in Jhang.Aaiza Hassan
 
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service JamshedpurVIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service JamshedpurSuhani Kapoor
 
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...lizamodels9
 
Lean: From Theory to Practice — One City’s (and Library’s) Lean Story… Abridged
Lean: From Theory to Practice — One City’s (and Library’s) Lean Story… AbridgedLean: From Theory to Practice — One City’s (and Library’s) Lean Story… Abridged
Lean: From Theory to Practice — One City’s (and Library’s) Lean Story… AbridgedKaiNexus
 
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...lizamodels9
 
Call Girls Miyapur 7001305949 all area service COD available Any Time
Call Girls Miyapur 7001305949 all area service COD available Any TimeCall Girls Miyapur 7001305949 all area service COD available Any Time
Call Girls Miyapur 7001305949 all area service COD available Any Timedelhimodelshub1
 
Call Girls in Mehrauli Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Mehrauli Delhi 💯Call Us 🔝8264348440🔝Call Girls in Mehrauli Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Mehrauli Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
Lowrate Call Girls In Laxmi Nagar Delhi ❤️8860477959 Escorts 100% Genuine Ser...
Lowrate Call Girls In Laxmi Nagar Delhi ❤️8860477959 Escorts 100% Genuine Ser...Lowrate Call Girls In Laxmi Nagar Delhi ❤️8860477959 Escorts 100% Genuine Ser...
Lowrate Call Girls In Laxmi Nagar Delhi ❤️8860477959 Escorts 100% Genuine Ser...lizamodels9
 
Grateful 7 speech thanking everyone that has helped.pdf
Grateful 7 speech thanking everyone that has helped.pdfGrateful 7 speech thanking everyone that has helped.pdf
Grateful 7 speech thanking everyone that has helped.pdfPaul Menig
 

Recently uploaded (20)

Call Girls in Gomti Nagar - 7388211116 - With room Service
Call Girls in Gomti Nagar - 7388211116  - With room ServiceCall Girls in Gomti Nagar - 7388211116  - With room Service
Call Girls in Gomti Nagar - 7388211116 - With room Service
 
RE Capital's Visionary Leadership under Newman Leech
RE Capital's Visionary Leadership under Newman LeechRE Capital's Visionary Leadership under Newman Leech
RE Capital's Visionary Leadership under Newman Leech
 
Pitch Deck Teardown: NOQX's $200k Pre-seed deck
Pitch Deck Teardown: NOQX's $200k Pre-seed deckPitch Deck Teardown: NOQX's $200k Pre-seed deck
Pitch Deck Teardown: NOQX's $200k Pre-seed deck
 
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In.../:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...
 
rishikeshgirls.in- Rishikesh call girl.pdf
rishikeshgirls.in- Rishikesh call girl.pdfrishikeshgirls.in- Rishikesh call girl.pdf
rishikeshgirls.in- Rishikesh call girl.pdf
 
VIP Call Girls Pune Kirti 8617697112 Independent Escort Service Pune
VIP Call Girls Pune Kirti 8617697112 Independent Escort Service PuneVIP Call Girls Pune Kirti 8617697112 Independent Escort Service Pune
VIP Call Girls Pune Kirti 8617697112 Independent Escort Service Pune
 
VIP Kolkata Call Girl Howrah 👉 8250192130 Available With Room
VIP Kolkata Call Girl Howrah 👉 8250192130  Available With RoomVIP Kolkata Call Girl Howrah 👉 8250192130  Available With Room
VIP Kolkata Call Girl Howrah 👉 8250192130 Available With Room
 
Keppel Ltd. 1Q 2024 Business Update Presentation Slides
Keppel Ltd. 1Q 2024 Business Update  Presentation SlidesKeppel Ltd. 1Q 2024 Business Update  Presentation Slides
Keppel Ltd. 1Q 2024 Business Update Presentation Slides
 
GD Birla and his contribution in management
GD Birla and his contribution in managementGD Birla and his contribution in management
GD Birla and his contribution in management
 
Progress Report - Oracle Database Analyst Summit
Progress  Report - Oracle Database Analyst SummitProgress  Report - Oracle Database Analyst Summit
Progress Report - Oracle Database Analyst Summit
 
BEST Call Girls In Greater Noida ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Greater Noida ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,BEST Call Girls In Greater Noida ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Greater Noida ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
 
M.C Lodges -- Guest House in Jhang.
M.C Lodges --  Guest House in Jhang.M.C Lodges --  Guest House in Jhang.
M.C Lodges -- Guest House in Jhang.
 
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service JamshedpurVIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
 
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...
 
Lean: From Theory to Practice — One City’s (and Library’s) Lean Story… Abridged
Lean: From Theory to Practice — One City’s (and Library’s) Lean Story… AbridgedLean: From Theory to Practice — One City’s (and Library’s) Lean Story… Abridged
Lean: From Theory to Practice — One City’s (and Library’s) Lean Story… Abridged
 
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
 
Call Girls Miyapur 7001305949 all area service COD available Any Time
Call Girls Miyapur 7001305949 all area service COD available Any TimeCall Girls Miyapur 7001305949 all area service COD available Any Time
Call Girls Miyapur 7001305949 all area service COD available Any Time
 
Call Girls in Mehrauli Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Mehrauli Delhi 💯Call Us 🔝8264348440🔝Call Girls in Mehrauli Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Mehrauli Delhi 💯Call Us 🔝8264348440🔝
 
Lowrate Call Girls In Laxmi Nagar Delhi ❤️8860477959 Escorts 100% Genuine Ser...
Lowrate Call Girls In Laxmi Nagar Delhi ❤️8860477959 Escorts 100% Genuine Ser...Lowrate Call Girls In Laxmi Nagar Delhi ❤️8860477959 Escorts 100% Genuine Ser...
Lowrate Call Girls In Laxmi Nagar Delhi ❤️8860477959 Escorts 100% Genuine Ser...
 
Grateful 7 speech thanking everyone that has helped.pdf
Grateful 7 speech thanking everyone that has helped.pdfGrateful 7 speech thanking everyone that has helped.pdf
Grateful 7 speech thanking everyone that has helped.pdf
 

Comparing Groups & Variables

  • 1. Is your question a question of: Difference? Relationship? Goodness of Fit?Independence?
  • 2. Is your question a question of: Difference?
  • 3. Difference How do two or more groups compare with one another in terms of some outcome?
  • 4. Difference How do two or more groups (younger/older drivers) compare with one another in terms of some outcome (average driving speed)?
  • 5. Difference How do two or more groups (younger/older drivers) compare with one another in terms of some outcome (average driving speed)? vs. average MPHolder driver younger driver in terms of
  • 6. Difference How do two or more groups (those with migraines / those without migraines) compare with one another in terms of some outcome (average sugar intake)? vs. migraine no migraine average sugar intake in terms of
  • 7. Difference How do two or more groups (sophomores/juniors/seniors) compare with one another in terms of some outcome (average amount of homework)? sophomore vs. average amount of homework in terms of junior senior vs.
  • 9. Difference How do two or more groups compare with one another in terms of some outcome? vs. vs. migraine no migraine average MPHolder driver younger driver average sugar intake in terms of in terms of sophomore vs. average amount Of homework in terms of junior senior vs.
  • 10. Is your question a question of: Relationship?
  • 11. Relationship Is a change in one characteristic accompanied by a change in another characteristic?
  • 12. Relationship Is a change in one characteristic (age) accompanied by a change in another characteristic (flexibility)?
  • 13. Relationship Is a change in one characteristic (age) accompanied by a change in another characteristic (flexibility)? Is an increase in accompanied by a decrease in
  • 14. Relationship Is a change in one characteristic (height) accompanied by a change in another characteristic (weight)? Is an increase in accompanied by a increase in
  • 15. Relationship Is a change in one characteristic (speed) accompanied by a change in another characteristic (road rage incidents)? Is an decrease in accompanied by a decrease in
  • 17. Relationship Is a change in one characteristic accompanied by a change in another characteristic? Is an increase in accompanied by a decrease in Is an increase in accompanied by a increase in Is an decrease in accompanied by a decrease in
  • 18. Is your question a question of: Independence?
  • 19. Independence Is one variable with two or more levels independent of another variable with two or more levels?
  • 20. Independence Is one variable (university enrollment) with two or more levels (enrolled or not enrolled) independent of another variable (state residence) with two or more levels (resident or not)?
  • 21. Example 1 – Independent Independence Is one variable (university enrollment) with two or more levels (enrolled or not enrolled) independent of another variable (state residence) with two or more levels (resident or not)?
  • 22. enrolled not enrolled resident 20 students 20 students not a resident 20 students 20 students Example 1 – Independent Independence Is one variable (university enrollment) with two or more levels (enrolled or not enrolled) independent of another variable (state residence) with two or more levels (resident or not)?
  • 23. enrolled not enrolled resident 20 students 20 students not a resident 20 students 20 students Example 1 – Independent Enrollment and state residence are independent, because being a resident or non resident doesn’t make it more likely you are enrolled. Independence Is one variable (university enrollment) with two or more levels (enrolled or not enrolled) independent of another variable (state residence) with two or more levels (resident or not)?
  • 24. enrolled not enrolled resident 20 students 20 students not a resident 20 students 20 students enrolled not enrolled resident 10 students 30 students not a resident 30 students 10 students Example 1 – Independent Enrollment and state residence are dependent, because being a non- resident makes it more likely you are enrolled. Enrollment and state residence are independent, because being a resident or non resident doesn’t make it more likely you are enrolled. Example 2 - Dependent Independence Is one variable (university enrollment) with two or more levels (enrolled or not enrolled) independent of another variable (state residence) with two or more levels (resident or not)?
  • 25. Independence Is one variable (year in school) with two or more levels (9th, 10th, 11th, 12th) independent of another variable (foreign language ability) of two or more levels (fluent or not)?
  • 26. Independence Is one variable (year in school) with two or more levels (9th, 10th, 11th, 12th) independent of another variable (foreign language ability) of two or more levels (fluent or not)? 9th 10th 11th 12th fluent 200 300 200 250 not fluent 200 300 200 250 Example 1 – Independent
  • 27. Independence Is one variable (year in school) with two or more levels (9th, 10th, 11th, 12th) independent of another variable (foreign language ability) of two or more levels (fluent or not)? 9th 10th 11th 12th fluent 200 300 200 250 not fluent 200 300 200 250 Example 1 – Independent Fluency is independent of year in school because being in a lower or upper class doesn’t make it more likely that you are fluent.
  • 28. Independence Is one variable (year in school) with two or more levels (9th, 10th, 11th, 12th) independent of another variable (foreign language ability) of two or more levels (fluent or not)? 9th 10th 11th 12th fluent 200 300 200 250 not fluent 200 300 200 250 Example 1 – Independent Fluency is independent of year in school because being in a lower or upper class doesn’t make it more likely that you are fluent. 9th 10th 11th 12th fluent 100 100 200 400 not fluent 300 400 100 100 Example 2 – Independent
  • 29. Independence Is one variable (year in school) with two or more levels (9th, 10th, 11th, 12th) independent of another variable (foreign language ability) of two or more levels (fluent or not)? 9th 10th 11th 12th fluent 200 300 200 250 not fluent 200 300 200 250 Example 1 – Independent Fluency is independent of year in school because being in a lower or upper class doesn’t make it more likely that you are fluent. 9th 10th 11th 12th fluent 100 100 200 400 not fluent 300 400 100 100 Example 2 – Independent Fluency is dependent on year in school because being in an upper class makes it more likely that you are fluent.
  • 31. Independence Is one variable with two or more levels independent of another variable with two or more levels?
  • 32. Independence Is one variable with two or more levels independent of another variable with two or more levels? enrolled not enrolled resident 20 students 20 students not a resident 20 students 20 students Is university enrollment independent of state residency?
  • 33. Independence Is one variable with two or more levels independent of another variable with two or more levels? 9th 10th 11th 12th fluent 200 300 200 250 not fluent 200 300 200 250 enrolled not enrolled resident 20 students 20 students not a resident 20 students 20 students Is university enrollment independent of state residency? Is year in school independent foreign language fluency?
  • 34. Is your question a question of: Goodness of Fit?
  • 35. Goodness of Fit Does your claim fit reality? (4 out of 5 dentist recommend flavored floss) (3 out of 5 of your dentist friends recommend flavored floss)
  • 36. Goodness of Fit Does your claim (4 out of 5 dentist recommend flavored floss) fit reality (3 out of 5 of your dentist friends recommend flavored floss)?
  • 37. Goodness of Fit Does your claim (4 out of 5 dentist recommend flavored floss) fit reality (3 out of 5 of your dentist friends recommend flavored floss)? Does the CLAIM . . . FIT REALITY? 4 out of 5 recommend 3 out of 5 recommend
  • 38. Goodness of Fit Does your claim (72% of the county will vote democrat) fit reality (65% of the county actually voted democrat)? Does the CLAIM . . . FIT REALITY? 65% 72% 18%35%
  • 40. Goodness of Fit Does your claim fit reality? (4 out of 5 dentist recommend flavored floss) (3 out of 5 of your dentist friends recommend flavored floss)
  • 41. Goodness of Fit Does your claim fit reality? (4 out of 5 dentist recommend flavored floss) (3 out of 5 of your dentist friends recommend flavored floss) 4 out of 5 recommend 3 out of 5 recommend 65% 72% 18%35% The Claim The Reality The Claim The Reality
  • 43. Final Summary Difference – (average) between groups. vs. Relationship – increase or decrease in two variables Independence – two+ levels by two+ levels. Does the CLAIM . . . FIT REALITY? Goodness of Fit – claim versus reality
  • 45. Does employee moral increase significantly the longer employees work at Company X? You sample a group of 45 and generalize the results. Difference? Relationship? Independence? Goodness of Fit?
  • 46. Does employee moral increase significantly the longer employees work at Company X? You sample a group of 45 and generalize the results. Difference? Relationship? Independence? Goodness of Fit?
  • 47. Does employee moral increase significantly the longer employees work at Company X? You sample a group of 45 and generalize the results. Difference? Relationship? Independence? Goodness of Fit?
  • 48. Does employee moral increase significantly the longer employees work at Company X? You sample a group of 45 and generalize the results. Is a change in one characteristic (moral) accompanied by a change in another characteristic (time worked)? Difference? Relationship? Independence? Goodness of Fit?
  • 50. How do management and staff compare in terms of average work satisfaction? You sample both groups and generalize the results. Difference? Relationship? Independence? Goodness of Fit?
  • 51. How do management and staff compare in terms of average work satisfaction? You sample both groups and generalize the results. Difference? Relationship? Independence? Goodness of Fit?
  • 52. How do management and staff compare in terms of average work satisfaction? You sample both groups and generalize the results. Difference? Relationship? Independence? Goodness of Fit?
  • 53. How do management and staff compare in terms of average work satisfaction? You sample both groups and generalize the results. Difference? Relationship? Independence? Goodness of Fit? How do two or more groups (management/staff) compare with one another in terms of some outcome (average work satisfaction)?
  • 55. A salesman claims that 95% of employees increase their work productivity using his software. You test that claim with a sample of 26 employees and find that 86% increase their productivity. Difference? Relationship? Independence? Goodness of Fit?
  • 56. A salesman claims that 95% of employees increase their work productivity using his software. You test that claim with a sample of 26 employees and find that 86% increase their productivity. Difference? Relationship? Independence? Goodness of Fit?
  • 57. A salesman claims that 95% of employees increase their work productivity using his software. You test that claim with a sample of 26 employees and find that 86% increase their productivity. Difference? Relationship? Independence? Goodness of Fit?
  • 58. A salesman claims that 95% of employees increase their work productivity using his software. You test that claim with a sample of 26 employees and find that 86% increase their productivity. Difference? Relationship? Independence? Goodness of Fit? Does your claim (95% increase work productivity) fit reality (86% increase work productivity)?
  • 59. Is religious affiliation independent of age levels (young, prime, mature, and seasoned)? Difference? Relationship? Independence? Goodness of Fit?
  • 60. Is religious affiliation independent of age levels (young, prime, mature, and seasoned)? Difference? Relationship? Independence? Goodness of Fit?
  • 61. Is religious affiliation independent of age levels (young, prime, mature, and seasoned)? Difference? Relationship? Independence? Goodness of Fit?
  • 62. Is religious affiliation independent of age levels (young, prime, mature, and seasoned)? Difference? Relationship? Independence? Goodness of Fit? Is one variable with two or more levels (religious affiliation) independent of another variable with two or more levels (age levels)?
  • 63. Is your question a question of: Difference? Relationship? Goodness of Fit?Independence?

Editor's Notes

  1. . . . FIT REALITY?
  2. . . . FIT REALITY?