SlideShare a Scribd company logo
The difference between t-tests and ANOVAs is that
t-tests are used to analyze data from independent
variables with just two levels
Whereas ANOVAs are used to analyze data from
independent variables with three or more levels
For example – studying driving speed across two
levels of athlete (football and basketball players).
For example – studying driving speed across three
levels of athlete (football, basketball, soccer
players).
NEXT
Differentiating Parametric Tests that Capture Differences Between Groups
T-test Family
• Single sample t-test – compares a single sample with its
supposed population
• Independent samples t-test – compares one sample with
another sample
• Paired-samples t-test – compares one sample on “time one”
with itself on “time two”
Differentiating Parametric Tests that Capture Differences Between Groups
compared with
compared with
Time 1 Time 2
NEXT
ANOVA Family
• One-way ANOVA – compares at least three samples with one another
• ANCOVA – compares at least two samples with one another controlling for
a covariate
• One-way Repeated Measures ANOVA – compares one sample on “time
one”, “time two” and “time three” with itself.
• Factorial ANOVA – compares at least two samples on one independent
variable and those same samples on another independent variable.
• Split-Plot ANOVA - compares at least two samples with one another on
one independent variable and compares them as well across time.
Differentiating Parametric Tests that Capture Differences Between Groups
controlling for
Time 1 Time 2 Time 3
Ice cream preference across both
broken into three levels
Ice cream preference across both

More Related Content

PPSX
Population and Sample
PPT
Independent sample t test
PPTX
Type i and type ii errors
PPTX
Parametric vs Nonparametric Tests: When to use which
PPT
Mann Whitney U test
PPT
DIstinguish between Parametric vs nonparametric test
PPSX
Coefficient of correlation...ppt
PPTX
T- test .pptx
Population and Sample
Independent sample t test
Type i and type ii errors
Parametric vs Nonparametric Tests: When to use which
Mann Whitney U test
DIstinguish between Parametric vs nonparametric test
Coefficient of correlation...ppt
T- test .pptx

What's hot (20)

PPT
oneway ANOVA.ppt
PPTX
Correlation and Regression ppt
PDF
01 parametric and non parametric statistics
PPTX
Analysis of variance (ANOVA)
PPTX
Experimental research design
PPTX
Validity.pptx
PPTX
Inferential Statistics and its Importance of inferential statistics
PPTX
Analysis of variance
PPTX
Population vs sample
PPT
Mann Whitney U Test
PPTX
Analysis of variance (ANOVA)
PPTX
Chi-Square test.pptx
PPTX
Inferential Statistics
PDF
Mpc 006 - 02-03 partial and multiple correlation
PPTX
Experimental Design | Statistics
PPTX
PPTX
Parametric Test
PPTX
Sampling and its types
PPTX
The mann whitney u test
oneway ANOVA.ppt
Correlation and Regression ppt
01 parametric and non parametric statistics
Analysis of variance (ANOVA)
Experimental research design
Validity.pptx
Inferential Statistics and its Importance of inferential statistics
Analysis of variance
Population vs sample
Mann Whitney U Test
Analysis of variance (ANOVA)
Chi-Square test.pptx
Inferential Statistics
Mpc 006 - 02-03 partial and multiple correlation
Experimental Design | Statistics
Parametric Test
Sampling and its types
The mann whitney u test
Ad

Similar to The Difference Between t-tests and ANOVAs (20)

PPTX
Difference between t tests and ANOVAs
PPTX
anova.pptx ..............................
PPT
lecture#14 one way ANOVA for statistics.ppt
PPTX
Test of Difference Between Means.pptx Test of Difference Between Means.pptx
PDF
Parametric Test by Vikramjit Singh
PPTX
Basics of Educational Statistics (T-test)
PPT
1 ANOVA.ppt
PPTX
Workshop on Data Analysis and Result Interpretation in Social Science Researc...
PPTX
2-1 ANOVA.pptx materi statiska untuk perhitungan anova
PPTX
Parametric & non-parametric
PDF
Avova 2.pdf
PPTX
mean comparison.pptx
PPTX
mean comparison.pptx
PPTX
Hypothesis testing basics in the field of statistics
PDF
Parametric and non parametric test in biostatistics
PPTX
Chapter 8 Data analysis and interpretation ( 2007 book )
PPTX
Research Methodology One-Way ANOVA - analysis of variance , pares the mean...
PPTX
How to Perform a One-Way ANOVA by Hand.pptx
PPTX
How to Perform a One-Way ANOVA by Hand.pptx
Difference between t tests and ANOVAs
anova.pptx ..............................
lecture#14 one way ANOVA for statistics.ppt
Test of Difference Between Means.pptx Test of Difference Between Means.pptx
Parametric Test by Vikramjit Singh
Basics of Educational Statistics (T-test)
1 ANOVA.ppt
Workshop on Data Analysis and Result Interpretation in Social Science Researc...
2-1 ANOVA.pptx materi statiska untuk perhitungan anova
Parametric & non-parametric
Avova 2.pdf
mean comparison.pptx
mean comparison.pptx
Hypothesis testing basics in the field of statistics
Parametric and non parametric test in biostatistics
Chapter 8 Data analysis and interpretation ( 2007 book )
Research Methodology One-Way ANOVA - analysis of variance , pares the mean...
How to Perform a One-Way ANOVA by Hand.pptx
How to Perform a One-Way ANOVA by Hand.pptx
Ad

More from Ken Plummer (20)

PPTX
Diff rel gof-fit - jejit - practice (5)
PPTX
Learn About Range - Copyright updated
PPTX
Inferential vs descriptive tutorial of when to use - Copyright Updated
PPTX
Diff rel ind-fit practice - Copyright Updated
PPTX
Normal or skewed distributions (inferential) - Copyright updated
PPTX
Normal or skewed distributions (descriptive both2) - Copyright updated
PPTX
Nature of the data practice - Copyright updated
PPTX
Nature of the data (spread) - Copyright updated
PPTX
Mode practice 1 - Copyright updated
PPTX
Nature of the data (descriptive) - Copyright updated
PPTX
Dichotomous or scaled
PPTX
Skewed less than 30 (ties)
PPTX
Skewed sample size less than 30
PPTX
Ordinal (ties)
PPTX
Ordinal and nominal
PPTX
Relationship covariates
PPTX
Relationship nature of data
PPTX
Number of variables (predictive)
PPTX
Levels of the iv
PPTX
Independent variables (2)
Diff rel gof-fit - jejit - practice (5)
Learn About Range - Copyright updated
Inferential vs descriptive tutorial of when to use - Copyright Updated
Diff rel ind-fit practice - Copyright Updated
Normal or skewed distributions (inferential) - Copyright updated
Normal or skewed distributions (descriptive both2) - Copyright updated
Nature of the data practice - Copyright updated
Nature of the data (spread) - Copyright updated
Mode practice 1 - Copyright updated
Nature of the data (descriptive) - Copyright updated
Dichotomous or scaled
Skewed less than 30 (ties)
Skewed sample size less than 30
Ordinal (ties)
Ordinal and nominal
Relationship covariates
Relationship nature of data
Number of variables (predictive)
Levels of the iv
Independent variables (2)

Recently uploaded (20)

PPTX
PPT- ENG7_QUARTER1_LESSON1_WEEK1. IMAGERY -DESCRIPTIONS pptx.pptx
PPTX
Final Presentation General Medicine 03-08-2024.pptx
PPTX
Pharmacology of Heart Failure /Pharmacotherapy of CHF
PPTX
202450812 BayCHI UCSC-SV 20250812 v17.pptx
PDF
Anesthesia in Laparoscopic Surgery in India
PPTX
Cell Types and Its function , kingdom of life
PPTX
Final Presentation General Medicine 03-08-2024.pptx
PDF
A GUIDE TO GENETICS FOR UNDERGRADUATE MEDICAL STUDENTS
PDF
3rd Neelam Sanjeevareddy Memorial Lecture.pdf
PPTX
Institutional Correction lecture only . . .
PPTX
Lesson notes of climatology university.
PDF
Black Hat USA 2025 - Micro ICS Summit - ICS/OT Threat Landscape
PDF
Computing-Curriculum for Schools in Ghana
PDF
Chapter 2 Heredity, Prenatal Development, and Birth.pdf
PDF
FourierSeries-QuestionsWithAnswers(Part-A).pdf
PDF
OBE - B.A.(HON'S) IN INTERIOR ARCHITECTURE -Ar.MOHIUDDIN.pdf
PPTX
school management -TNTEU- B.Ed., Semester II Unit 1.pptx
PDF
STATICS OF THE RIGID BODIES Hibbelers.pdf
PDF
O7-L3 Supply Chain Operations - ICLT Program
PDF
Abdominal Access Techniques with Prof. Dr. R K Mishra
PPT- ENG7_QUARTER1_LESSON1_WEEK1. IMAGERY -DESCRIPTIONS pptx.pptx
Final Presentation General Medicine 03-08-2024.pptx
Pharmacology of Heart Failure /Pharmacotherapy of CHF
202450812 BayCHI UCSC-SV 20250812 v17.pptx
Anesthesia in Laparoscopic Surgery in India
Cell Types and Its function , kingdom of life
Final Presentation General Medicine 03-08-2024.pptx
A GUIDE TO GENETICS FOR UNDERGRADUATE MEDICAL STUDENTS
3rd Neelam Sanjeevareddy Memorial Lecture.pdf
Institutional Correction lecture only . . .
Lesson notes of climatology university.
Black Hat USA 2025 - Micro ICS Summit - ICS/OT Threat Landscape
Computing-Curriculum for Schools in Ghana
Chapter 2 Heredity, Prenatal Development, and Birth.pdf
FourierSeries-QuestionsWithAnswers(Part-A).pdf
OBE - B.A.(HON'S) IN INTERIOR ARCHITECTURE -Ar.MOHIUDDIN.pdf
school management -TNTEU- B.Ed., Semester II Unit 1.pptx
STATICS OF THE RIGID BODIES Hibbelers.pdf
O7-L3 Supply Chain Operations - ICLT Program
Abdominal Access Techniques with Prof. Dr. R K Mishra

The Difference Between t-tests and ANOVAs

  • 1. The difference between t-tests and ANOVAs is that t-tests are used to analyze data from independent variables with just two levels Whereas ANOVAs are used to analyze data from independent variables with three or more levels For example – studying driving speed across two levels of athlete (football and basketball players). For example – studying driving speed across three levels of athlete (football, basketball, soccer players). NEXT Differentiating Parametric Tests that Capture Differences Between Groups
  • 2. T-test Family • Single sample t-test – compares a single sample with its supposed population • Independent samples t-test – compares one sample with another sample • Paired-samples t-test – compares one sample on “time one” with itself on “time two” Differentiating Parametric Tests that Capture Differences Between Groups compared with compared with Time 1 Time 2 NEXT
  • 3. ANOVA Family • One-way ANOVA – compares at least three samples with one another • ANCOVA – compares at least two samples with one another controlling for a covariate • One-way Repeated Measures ANOVA – compares one sample on “time one”, “time two” and “time three” with itself. • Factorial ANOVA – compares at least two samples on one independent variable and those same samples on another independent variable. • Split-Plot ANOVA - compares at least two samples with one another on one independent variable and compares them as well across time. Differentiating Parametric Tests that Capture Differences Between Groups controlling for Time 1 Time 2 Time 3 Ice cream preference across both broken into three levels Ice cream preference across both