SlideShare una empresa de Scribd logo
1 de 11
Dr Azmi Mohd Tamil
Normally distributed data
Comparison between 2 groups
Student’s
T-Test
1 drtamil@gmail.com 2015
Concept
drtamil@gmail.com 20152
 Basically we are comparing the mean of the
outcome (as measured in continuous data)
among the treated against the mean of the
outcome among the control.
 If the treatment is effective, we would expect
those treated to have a significantly higher
(“causative”) or lower (“protective”) mean of the
outcome compared to those in the control group.
n Mean HDL S.D.
Fish Oil + 30 1.4767 0.45549
Control - 30 1.2593 0.44488
Research Question
 Will those treated with fish oil supplement have a
higher level of HDL compared to control group?
 If it is true that fish oil is good for you, then we
expect a significantly higher level of HDL among
those treated with fish oil group (1.48+0.46)
compared to the control group (1.26+0.44).
 Student’s t-test will test whether the HDL mean
among treated group (1.48) is significantly higher
than the HDL mean of control group (1.26).
3 drtamil@gmail.com 2015
n Mean HDL S.D.
Fish Oil + 30 1.4767 0.45549
Control - 30 1.2593 0.44488
Null hypothesis
 Null hypothesis assumes that there is no
association between fish oil usage and HDL
level. As though taking fish oil has no effect on
the HDL level.
 If taking fish oil has no effect on HDL, then
there should be no difference of mean of HDL
level between treatment and control groups.
 The statistical test conducted is to decide
whether or not to reject the null hypothesis.
So if the mean HDL level of treatment group is
significantly different than the mean HDL of
control group, null hypothesis is rejected.
4 drtamil@gmail.com 2015
Significance  We expect better HDL level
among the treated group,
compared to the control
group. The better the
improvement, the larger is the
mean difference between the
two groups.
 The larger the difference, the
more significant is the p value.
 The bigger the mean
difference, the bigger is the t
value, therefore the smaller is
the p value, therefore more
likely to be significant.
 The smaller the variance, the
smaller is the p value.
Significance  The larger the difference, the
more significant is the p value.
But here the difference is only
0.2174, which is even smaller
than the standard deviation
(0.45549 & 0.44488)
 The small mean difference,
and the large standard
deviation/variance will lead to
a smaller t value, therefore
larger p value, therefore more
likely to be insignificant.
n Mean HDL S.D.
Fish Oil + 30 1.4767 0.45549
Control - 30 1.2593 0.44488
Example:
 t = (1.4767 – 1.2593)_____
(0.455492/30 + 0.444882/30)0.5
 t = 0.2174/0.1162=1.870
 df = (30-1)+(30-1) = 58
 Critical value for df = 60 for p=0.05 is 2.00,
 Critical value for df = 40 for p=0.05 is 2.02,
 The calculated t is smaller than the critical value,
therefore the null hypothesis is NOT
REJECTED.
 Conclusion: Although the treated group HDL
level is slightly higher (1.48+0.46) compared to
the control group (1.26+0.44), the difference is
not statistically significant (p>0.05)
 Hint: Memorise critical value of 1.96 for
df=infinity.7 drtamil@gmail.com 2015
Refer to Table A3.
We don’t have df=58,
so we use df=40 instead.
Calculated t = 1.870 < 2.02
If t=2.02, p=0.05
Therefore if t=1.870, p>0.05.
As analysed by SPSS
drtamil@gmail.com 20159
Summary
drtamil@gmail.com 201510
 Hypothesis – those treated with fish oil
supplement have a higher level of HDL compared
to control group.
 Null hypothesis
 No difference of mean of HDL level between
treatment and control groups, or;
 There is no association between fish oil treatment
and HDL level.
 Suitable statistical test – Student’s t-test
(compare mean between 2 groups, n=60-assume
normally distributed data).
Summary
drtamil@gmail.com 201511
 Calculation;
 t = (1.4767 – 1.2593)_____
(0.455492/30 + 0.444882/30)0.5
= 0.2174/0.1162=1.870
 df = (30-1)+(30-1) = 58
 p > 0.05
 Null hypothesis NOT REJECTED because p >
0.05
 Conclusion:
 Although the treated group HDL level is slightly
higher (1.48+0.46) compared to the control
group (1.26+0.44), the difference is not
statistically significant (p>0.05); or
 There is no association between fish oil usage
and HDL level.

Más contenido relacionado

La actualidad más candente

6. Calculate samplesize for cohort studies
6. Calculate samplesize for cohort studies6. Calculate samplesize for cohort studies
6. Calculate samplesize for cohort studiesAzmi Mohd Tamil
 
4. Calculate samplesize for cross-sectional studies
4. Calculate samplesize for cross-sectional studies4. Calculate samplesize for cross-sectional studies
4. Calculate samplesize for cross-sectional studiesAzmi Mohd Tamil
 
5. Calculate samplesize for case-control studies
5. Calculate samplesize for case-control studies5. Calculate samplesize for case-control studies
5. Calculate samplesize for case-control studiesAzmi Mohd Tamil
 
Exploratory Data Analysis - Checking For Normality
Exploratory Data Analysis - Checking For NormalityExploratory Data Analysis - Checking For Normality
Exploratory Data Analysis - Checking For NormalityAzmi Mohd Tamil
 
Sample size by formula
Sample size by formulaSample size by formula
Sample size by formulaMmedsc Hahm
 
2. Tools to calculate samplesize
2. Tools to calculate samplesize2. Tools to calculate samplesize
2. Tools to calculate samplesizeAzmi Mohd Tamil
 
Testing the hypothesis
Testing the hypothesisTesting the hypothesis
Testing the hypothesisJen Millan
 
Sample Size Calculation for Quantitive and Qualitative Studies
Sample Size Calculation for Quantitive and Qualitative Studies Sample Size Calculation for Quantitive and Qualitative Studies
Sample Size Calculation for Quantitive and Qualitative Studies Akmal Samsor
 
Basics of medical statistics
Basics of medical statisticsBasics of medical statistics
Basics of medical statisticsRamachandra Barik
 
Sample Size: A couple more hints to handle it right using SAS and R
Sample Size: A couple more hints to handle it right using SAS and RSample Size: A couple more hints to handle it right using SAS and R
Sample Size: A couple more hints to handle it right using SAS and RDave Vanz
 
Introduction to medical statistics
Introduction to medical statistics Introduction to medical statistics
Introduction to medical statistics Mohamed Alhelaly
 
Calculating a two sample z test by hand
Calculating a two sample z test by handCalculating a two sample z test by hand
Calculating a two sample z test by handKen Plummer
 
Lecture 10 Sample Size
Lecture 10 Sample SizeLecture 10 Sample Size
Lecture 10 Sample Sizeq8dentist
 
Analysis Report Presentation 041515 - Team 4
Analysis Report Presentation 041515 - Team 4Analysis Report Presentation 041515 - Team 4
Analysis Report Presentation 041515 - Team 4Zijian Huang
 

La actualidad más candente (20)

6. Calculate samplesize for cohort studies
6. Calculate samplesize for cohort studies6. Calculate samplesize for cohort studies
6. Calculate samplesize for cohort studies
 
Sample size estimation
Sample size estimationSample size estimation
Sample size estimation
 
4. Calculate samplesize for cross-sectional studies
4. Calculate samplesize for cross-sectional studies4. Calculate samplesize for cross-sectional studies
4. Calculate samplesize for cross-sectional studies
 
5. Calculate samplesize for case-control studies
5. Calculate samplesize for case-control studies5. Calculate samplesize for case-control studies
5. Calculate samplesize for case-control studies
 
Exploratory Data Analysis - Checking For Normality
Exploratory Data Analysis - Checking For NormalityExploratory Data Analysis - Checking For Normality
Exploratory Data Analysis - Checking For Normality
 
Sample size by formula
Sample size by formulaSample size by formula
Sample size by formula
 
2. Tools to calculate samplesize
2. Tools to calculate samplesize2. Tools to calculate samplesize
2. Tools to calculate samplesize
 
Testing the hypothesis
Testing the hypothesisTesting the hypothesis
Testing the hypothesis
 
Sample Size Calculation for Quantitive and Qualitative Studies
Sample Size Calculation for Quantitive and Qualitative Studies Sample Size Calculation for Quantitive and Qualitative Studies
Sample Size Calculation for Quantitive and Qualitative Studies
 
Basics of medical statistics
Basics of medical statisticsBasics of medical statistics
Basics of medical statistics
 
Tests of significance
Tests of significance  Tests of significance
Tests of significance
 
6. sample size v3
6. sample size   v36. sample size   v3
6. sample size v3
 
Sample Size: A couple more hints to handle it right using SAS and R
Sample Size: A couple more hints to handle it right using SAS and RSample Size: A couple more hints to handle it right using SAS and R
Sample Size: A couple more hints to handle it right using SAS and R
 
NNT: Number Needed to Treat
NNT: Number Needed to TreatNNT: Number Needed to Treat
NNT: Number Needed to Treat
 
Introduction to medical statistics
Introduction to medical statistics Introduction to medical statistics
Introduction to medical statistics
 
Sample size
Sample sizeSample size
Sample size
 
Calculating a two sample z test by hand
Calculating a two sample z test by handCalculating a two sample z test by hand
Calculating a two sample z test by hand
 
Sample size calculation final
Sample size calculation finalSample size calculation final
Sample size calculation final
 
Lecture 10 Sample Size
Lecture 10 Sample SizeLecture 10 Sample Size
Lecture 10 Sample Size
 
Analysis Report Presentation 041515 - Team 4
Analysis Report Presentation 041515 - Team 4Analysis Report Presentation 041515 - Team 4
Analysis Report Presentation 041515 - Team 4
 

Destacado

How to run Student's t-test on SPSS
How to run Student's t-test on SPSSHow to run Student's t-test on SPSS
How to run Student's t-test on SPSSAzmi Mohd Tamil
 
How to draw Scatter plot on SPSS
How to draw Scatter plot on SPSSHow to draw Scatter plot on SPSS
How to draw Scatter plot on SPSSAzmi Mohd Tamil
 
How to run ANOVA on SPSS
How to run ANOVA on SPSSHow to run ANOVA on SPSS
How to run ANOVA on SPSSAzmi Mohd Tamil
 
How to run Pearson's Chi-square for SPSS
How to run Pearson's Chi-square for SPSSHow to run Pearson's Chi-square for SPSS
How to run Pearson's Chi-square for SPSSAzmi Mohd Tamil
 
Running Pearson's Correlation on SPSS
Running Pearson's Correlation on SPSSRunning Pearson's Correlation on SPSS
Running Pearson's Correlation on SPSSAzmi Mohd Tamil
 
How to run Simple Linear Regression on SPSS
How to run Simple Linear Regression on SPSSHow to run Simple Linear Regression on SPSS
How to run Simple Linear Regression on SPSSAzmi Mohd Tamil
 
Difficulty Index, Discrimination Index, Reliability and Rasch Measurement Ana...
Difficulty Index, Discrimination Index, Reliability and Rasch Measurement Ana...Difficulty Index, Discrimination Index, Reliability and Rasch Measurement Ana...
Difficulty Index, Discrimination Index, Reliability and Rasch Measurement Ana...Azmi Mohd Tamil
 
Introduction to spss: define variables
Introduction to spss: define variablesIntroduction to spss: define variables
Introduction to spss: define variablesAzmi Mohd Tamil
 
MOOC for Public Health Physicians: Innovative Method in Ensuring Continuous C...
MOOC for Public Health Physicians: Innovative Method in Ensuring Continuous C...MOOC for Public Health Physicians: Innovative Method in Ensuring Continuous C...
MOOC for Public Health Physicians: Innovative Method in Ensuring Continuous C...Azmi Mohd Tamil
 
Student's T-test, Paired T-Test, ANOVA & Proportionate Test
Student's T-test, Paired T-Test, ANOVA & Proportionate TestStudent's T-test, Paired T-Test, ANOVA & Proportionate Test
Student's T-test, Paired T-Test, ANOVA & Proportionate TestAzmi Mohd Tamil
 
MOOC briefing for Faculty of Medicine
MOOC briefing for Faculty of MedicineMOOC briefing for Faculty of Medicine
MOOC briefing for Faculty of MedicineAzmi Mohd Tamil
 
iPad in Education Part 1 - Screencasting
iPad in Education Part 1 - ScreencastingiPad in Education Part 1 - Screencasting
iPad in Education Part 1 - ScreencastingAzmi Mohd Tamil
 
Deciding on a medical research topic: your first challenge
Deciding on a medical research topic: your first challengeDeciding on a medical research topic: your first challenge
Deciding on a medical research topic: your first challengeAzmi Mohd Tamil
 
Choosing your study design
Choosing your study designChoosing your study design
Choosing your study designAzmi Mohd Tamil
 
Chi-square, Yates, Fisher & McNemar
Chi-square, Yates, Fisher & McNemarChi-square, Yates, Fisher & McNemar
Chi-square, Yates, Fisher & McNemarAzmi Mohd Tamil
 
How to create a MOOC account
How to create a MOOC accountHow to create a MOOC account
How to create a MOOC accountAzmi Mohd Tamil
 
iPad in Education Part 2
iPad in Education Part 2iPad in Education Part 2
iPad in Education Part 2Azmi Mohd Tamil
 
How to get your courses listed on UKM MOOC (OpenLearning)
How to get your courses listed on UKM MOOC (OpenLearning)How to get your courses listed on UKM MOOC (OpenLearning)
How to get your courses listed on UKM MOOC (OpenLearning)Azmi Mohd Tamil
 
Career in the Medical Profession in Malaysia
Career in the Medical Profession in MalaysiaCareer in the Medical Profession in Malaysia
Career in the Medical Profession in MalaysiaAzmi Mohd Tamil
 

Destacado (20)

How to run Student's t-test on SPSS
How to run Student's t-test on SPSSHow to run Student's t-test on SPSS
How to run Student's t-test on SPSS
 
How to draw Scatter plot on SPSS
How to draw Scatter plot on SPSSHow to draw Scatter plot on SPSS
How to draw Scatter plot on SPSS
 
How to run ANOVA on SPSS
How to run ANOVA on SPSSHow to run ANOVA on SPSS
How to run ANOVA on SPSS
 
How to run Pearson's Chi-square for SPSS
How to run Pearson's Chi-square for SPSSHow to run Pearson's Chi-square for SPSS
How to run Pearson's Chi-square for SPSS
 
Running Pearson's Correlation on SPSS
Running Pearson's Correlation on SPSSRunning Pearson's Correlation on SPSS
Running Pearson's Correlation on SPSS
 
How to run Simple Linear Regression on SPSS
How to run Simple Linear Regression on SPSSHow to run Simple Linear Regression on SPSS
How to run Simple Linear Regression on SPSS
 
Difficulty Index, Discrimination Index, Reliability and Rasch Measurement Ana...
Difficulty Index, Discrimination Index, Reliability and Rasch Measurement Ana...Difficulty Index, Discrimination Index, Reliability and Rasch Measurement Ana...
Difficulty Index, Discrimination Index, Reliability and Rasch Measurement Ana...
 
Introduction to spss: define variables
Introduction to spss: define variablesIntroduction to spss: define variables
Introduction to spss: define variables
 
MOOC for Public Health Physicians: Innovative Method in Ensuring Continuous C...
MOOC for Public Health Physicians: Innovative Method in Ensuring Continuous C...MOOC for Public Health Physicians: Innovative Method in Ensuring Continuous C...
MOOC for Public Health Physicians: Innovative Method in Ensuring Continuous C...
 
Student's T-test, Paired T-Test, ANOVA & Proportionate Test
Student's T-test, Paired T-Test, ANOVA & Proportionate TestStudent's T-test, Paired T-Test, ANOVA & Proportionate Test
Student's T-test, Paired T-Test, ANOVA & Proportionate Test
 
MOOC briefing for Faculty of Medicine
MOOC briefing for Faculty of MedicineMOOC briefing for Faculty of Medicine
MOOC briefing for Faculty of Medicine
 
iPad in Education Part 1 - Screencasting
iPad in Education Part 1 - ScreencastingiPad in Education Part 1 - Screencasting
iPad in Education Part 1 - Screencasting
 
Deciding on a medical research topic: your first challenge
Deciding on a medical research topic: your first challengeDeciding on a medical research topic: your first challenge
Deciding on a medical research topic: your first challenge
 
Choosing your study design
Choosing your study designChoosing your study design
Choosing your study design
 
Chi-square, Yates, Fisher & McNemar
Chi-square, Yates, Fisher & McNemarChi-square, Yates, Fisher & McNemar
Chi-square, Yates, Fisher & McNemar
 
How to create a MOOC account
How to create a MOOC accountHow to create a MOOC account
How to create a MOOC account
 
Student's T-Test
Student's T-TestStudent's T-Test
Student's T-Test
 
iPad in Education Part 2
iPad in Education Part 2iPad in Education Part 2
iPad in Education Part 2
 
How to get your courses listed on UKM MOOC (OpenLearning)
How to get your courses listed on UKM MOOC (OpenLearning)How to get your courses listed on UKM MOOC (OpenLearning)
How to get your courses listed on UKM MOOC (OpenLearning)
 
Career in the Medical Profession in Malaysia
Career in the Medical Profession in MalaysiaCareer in the Medical Profession in Malaysia
Career in the Medical Profession in Malaysia
 

Similar a Student's t-test

Statistical significance vs Clinical significance
Statistical significance vs Clinical significanceStatistical significance vs Clinical significance
Statistical significance vs Clinical significanceVini Mehta
 
Systematic reviews: Why, How, So what?
Systematic reviews: Why, How, So what?Systematic reviews: Why, How, So what?
Systematic reviews: Why, How, So what?David Johns
 
GS or BS? Good science or bad science
GS or BS?  Good science or bad scienceGS or BS?  Good science or bad science
GS or BS? Good science or bad scienceRon Lyon
 
Minimally important differences
Minimally important differencesMinimally important differences
Minimally important differencesStephen Senn
 
Minimally important differences v2
Minimally important differences v2Minimally important differences v2
Minimally important differences v2Stephen Senn
 
Bowen & Neill (2013) Adventure Therapy Meta-Analysis Presentation
Bowen & Neill (2013) Adventure Therapy Meta-Analysis PresentationBowen & Neill (2013) Adventure Therapy Meta-Analysis Presentation
Bowen & Neill (2013) Adventure Therapy Meta-Analysis PresentationDaniel Bowen
 
Analytic Methods and Issues in CER from Observational Data
Analytic Methods and Issues in CER from Observational DataAnalytic Methods and Issues in CER from Observational Data
Analytic Methods and Issues in CER from Observational DataCTSI at UCSF
 
Nzps Elizabeth Ross
Nzps Elizabeth RossNzps Elizabeth Ross
Nzps Elizabeth Rosslillizzie
 
Critical Appriaisal Skills Basic 1 | May 4th 2011
Critical Appriaisal Skills Basic 1 | May 4th 2011Critical Appriaisal Skills Basic 1 | May 4th 2011
Critical Appriaisal Skills Basic 1 | May 4th 2011NES
 
Clinical Pharmacokinetics-II [dosing of drugs, tdm]
Clinical Pharmacokinetics-II [dosing of drugs, tdm]Clinical Pharmacokinetics-II [dosing of drugs, tdm]
Clinical Pharmacokinetics-II [dosing of drugs, tdm]BADAR UDDIN UMAR
 
Understanding clinical trial's statistics
Understanding clinical trial's statisticsUnderstanding clinical trial's statistics
Understanding clinical trial's statisticsMagdy Khames Aly
 
TYPES OF ABSTRACT.pptx
TYPES OF ABSTRACT.pptxTYPES OF ABSTRACT.pptx
TYPES OF ABSTRACT.pptxLizaDeJesus4
 
STATISTICS : Changing the way we do: Hypothesis testing, effect size, power, ...
STATISTICS : Changing the way we do: Hypothesis testing, effect size, power, ...STATISTICS : Changing the way we do: Hypothesis testing, effect size, power, ...
STATISTICS : Changing the way we do: Hypothesis testing, effect size, power, ...Musfera Nara Vadia
 
ECON104RoughDraft1
ECON104RoughDraft1ECON104RoughDraft1
ECON104RoughDraft1John Nguyen
 
Lecture 7 Hypothesis Testing Two Sample
Lecture 7 Hypothesis Testing Two SampleLecture 7 Hypothesis Testing Two Sample
Lecture 7 Hypothesis Testing Two SampleAhmadullah
 

Similar a Student's t-test (20)

Statistical significance vs Clinical significance
Statistical significance vs Clinical significanceStatistical significance vs Clinical significance
Statistical significance vs Clinical significance
 
Systematic reviews: Why, How, So what?
Systematic reviews: Why, How, So what?Systematic reviews: Why, How, So what?
Systematic reviews: Why, How, So what?
 
GS or BS? Good science or bad science
GS or BS?  Good science or bad scienceGS or BS?  Good science or bad science
GS or BS? Good science or bad science
 
Two sample t-test
Two sample t-testTwo sample t-test
Two sample t-test
 
Minimally important differences
Minimally important differencesMinimally important differences
Minimally important differences
 
Minimally important differences v2
Minimally important differences v2Minimally important differences v2
Minimally important differences v2
 
Bowen & Neill (2013) Adventure Therapy Meta-Analysis Presentation
Bowen & Neill (2013) Adventure Therapy Meta-Analysis PresentationBowen & Neill (2013) Adventure Therapy Meta-Analysis Presentation
Bowen & Neill (2013) Adventure Therapy Meta-Analysis Presentation
 
Analytic Methods and Issues in CER from Observational Data
Analytic Methods and Issues in CER from Observational DataAnalytic Methods and Issues in CER from Observational Data
Analytic Methods and Issues in CER from Observational Data
 
Nzps Elizabeth Ross
Nzps Elizabeth RossNzps Elizabeth Ross
Nzps Elizabeth Ross
 
diff.pdf
diff.pdfdiff.pdf
diff.pdf
 
Stats Final
Stats FinalStats Final
Stats Final
 
Critical Appriaisal Skills Basic 1 | May 4th 2011
Critical Appriaisal Skills Basic 1 | May 4th 2011Critical Appriaisal Skills Basic 1 | May 4th 2011
Critical Appriaisal Skills Basic 1 | May 4th 2011
 
Analysis and Interpretation
Analysis and InterpretationAnalysis and Interpretation
Analysis and Interpretation
 
Meta analysis with R
Meta analysis with RMeta analysis with R
Meta analysis with R
 
Clinical Pharmacokinetics-II [dosing of drugs, tdm]
Clinical Pharmacokinetics-II [dosing of drugs, tdm]Clinical Pharmacokinetics-II [dosing of drugs, tdm]
Clinical Pharmacokinetics-II [dosing of drugs, tdm]
 
Understanding clinical trial's statistics
Understanding clinical trial's statisticsUnderstanding clinical trial's statistics
Understanding clinical trial's statistics
 
TYPES OF ABSTRACT.pptx
TYPES OF ABSTRACT.pptxTYPES OF ABSTRACT.pptx
TYPES OF ABSTRACT.pptx
 
STATISTICS : Changing the way we do: Hypothesis testing, effect size, power, ...
STATISTICS : Changing the way we do: Hypothesis testing, effect size, power, ...STATISTICS : Changing the way we do: Hypothesis testing, effect size, power, ...
STATISTICS : Changing the way we do: Hypothesis testing, effect size, power, ...
 
ECON104RoughDraft1
ECON104RoughDraft1ECON104RoughDraft1
ECON104RoughDraft1
 
Lecture 7 Hypothesis Testing Two Sample
Lecture 7 Hypothesis Testing Two SampleLecture 7 Hypothesis Testing Two Sample
Lecture 7 Hypothesis Testing Two Sample
 

Más de Azmi Mohd Tamil

Hybrid setup - How to conduct simultaneous face-to-face and online presentati...
Hybrid setup - How to conduct simultaneous face-to-face and online presentati...Hybrid setup - How to conduct simultaneous face-to-face and online presentati...
Hybrid setup - How to conduct simultaneous face-to-face and online presentati...Azmi Mohd Tamil
 
Audiovisual and technicalities from preparation to retrieval how to enhance m...
Audiovisual and technicalities from preparation to retrieval how to enhance m...Audiovisual and technicalities from preparation to retrieval how to enhance m...
Audiovisual and technicalities from preparation to retrieval how to enhance m...Azmi Mohd Tamil
 
Broadcast quality online teaching at zero budget
Broadcast quality online teaching at zero budgetBroadcast quality online teaching at zero budget
Broadcast quality online teaching at zero budgetAzmi Mohd Tamil
 
Video for Teaching & Learning: OBS
Video for Teaching & Learning: OBSVideo for Teaching & Learning: OBS
Video for Teaching & Learning: OBSAzmi Mohd Tamil
 
Bengkel 21-12-2020 - Etika atas Talian & Alat Minima
Bengkel 21-12-2020 - Etika atas Talian & Alat MinimaBengkel 21-12-2020 - Etika atas Talian & Alat Minima
Bengkel 21-12-2020 - Etika atas Talian & Alat MinimaAzmi Mohd Tamil
 
GIS & History of Mapping in Malaya (lecture notes circa 2009)
GIS & History of Mapping in Malaya (lecture notes circa 2009)GIS & History of Mapping in Malaya (lecture notes circa 2009)
GIS & History of Mapping in Malaya (lecture notes circa 2009)Azmi Mohd Tamil
 
Blended e-learning in UKMFolio
Blended e-learning in UKMFolioBlended e-learning in UKMFolio
Blended e-learning in UKMFolioAzmi Mohd Tamil
 
How to Compute & Recode SPSS Data
How to Compute & Recode SPSS DataHow to Compute & Recode SPSS Data
How to Compute & Recode SPSS DataAzmi Mohd Tamil
 
Introduction to Data Analysis With R and R Studio
Introduction to Data Analysis With R and R StudioIntroduction to Data Analysis With R and R Studio
Introduction to Data Analysis With R and R StudioAzmi Mohd Tamil
 
Hack#38 - How to Stream Zoom to Facebook & YouTube Without Using An Encoder o...
Hack#38 - How to Stream Zoom to Facebook & YouTube Without Using An Encoder o...Hack#38 - How to Stream Zoom to Facebook & YouTube Without Using An Encoder o...
Hack#38 - How to Stream Zoom to Facebook & YouTube Without Using An Encoder o...Azmi Mohd Tamil
 
Hack#37 - How to simultaneously live stream to 4 sites using a single hardwar...
Hack#37 - How to simultaneously live stream to 4 sites using a single hardwar...Hack#37 - How to simultaneously live stream to 4 sites using a single hardwar...
Hack#37 - How to simultaneously live stream to 4 sites using a single hardwar...Azmi Mohd Tamil
 
Cochran Mantel Haenszel Test with Breslow-Day Test & Quadratic Equation
Cochran Mantel Haenszel Test with Breslow-Day Test & Quadratic EquationCochran Mantel Haenszel Test with Breslow-Day Test & Quadratic Equation
Cochran Mantel Haenszel Test with Breslow-Day Test & Quadratic EquationAzmi Mohd Tamil
 
New Emerging And Reemerging Infections circa 2006
New Emerging And Reemerging Infections circa 2006New Emerging And Reemerging Infections circa 2006
New Emerging And Reemerging Infections circa 2006Azmi Mohd Tamil
 
Hacks#36 -Raspberry Pi 4 Mini Computer
Hacks#36 -Raspberry Pi 4 Mini ComputerHacks#36 -Raspberry Pi 4 Mini Computer
Hacks#36 -Raspberry Pi 4 Mini ComputerAzmi Mohd Tamil
 
Hack#35 How to FB Live using a Video Encoder
Hack#35 How to FB Live using a Video EncoderHack#35 How to FB Live using a Video Encoder
Hack#35 How to FB Live using a Video EncoderAzmi Mohd Tamil
 
Hack#34 - Online Teaching with Microsoft Teams
Hack#34 - Online Teaching with Microsoft TeamsHack#34 - Online Teaching with Microsoft Teams
Hack#34 - Online Teaching with Microsoft TeamsAzmi Mohd Tamil
 
Skype for Business for UKM
Skype for Business for UKM Skype for Business for UKM
Skype for Business for UKM Azmi Mohd Tamil
 
Introduction to Structural Equation Modeling
Introduction to Structural Equation ModelingIntroduction to Structural Equation Modeling
Introduction to Structural Equation ModelingAzmi Mohd Tamil
 
Safe computing (circa 2004)
Safe computing (circa 2004)Safe computing (circa 2004)
Safe computing (circa 2004)Azmi Mohd Tamil
 

Más de Azmi Mohd Tamil (20)

Hybrid setup - How to conduct simultaneous face-to-face and online presentati...
Hybrid setup - How to conduct simultaneous face-to-face and online presentati...Hybrid setup - How to conduct simultaneous face-to-face and online presentati...
Hybrid setup - How to conduct simultaneous face-to-face and online presentati...
 
Audiovisual and technicalities from preparation to retrieval how to enhance m...
Audiovisual and technicalities from preparation to retrieval how to enhance m...Audiovisual and technicalities from preparation to retrieval how to enhance m...
Audiovisual and technicalities from preparation to retrieval how to enhance m...
 
Broadcast quality online teaching at zero budget
Broadcast quality online teaching at zero budgetBroadcast quality online teaching at zero budget
Broadcast quality online teaching at zero budget
 
Video for Teaching & Learning: OBS
Video for Teaching & Learning: OBSVideo for Teaching & Learning: OBS
Video for Teaching & Learning: OBS
 
Bengkel 21-12-2020 - Etika atas Talian & Alat Minima
Bengkel 21-12-2020 - Etika atas Talian & Alat MinimaBengkel 21-12-2020 - Etika atas Talian & Alat Minima
Bengkel 21-12-2020 - Etika atas Talian & Alat Minima
 
GIS & History of Mapping in Malaya (lecture notes circa 2009)
GIS & History of Mapping in Malaya (lecture notes circa 2009)GIS & History of Mapping in Malaya (lecture notes circa 2009)
GIS & History of Mapping in Malaya (lecture notes circa 2009)
 
Blended e-learning in UKMFolio
Blended e-learning in UKMFolioBlended e-learning in UKMFolio
Blended e-learning in UKMFolio
 
How to Compute & Recode SPSS Data
How to Compute & Recode SPSS DataHow to Compute & Recode SPSS Data
How to Compute & Recode SPSS Data
 
Introduction to Data Analysis With R and R Studio
Introduction to Data Analysis With R and R StudioIntroduction to Data Analysis With R and R Studio
Introduction to Data Analysis With R and R Studio
 
Hack#38 - How to Stream Zoom to Facebook & YouTube Without Using An Encoder o...
Hack#38 - How to Stream Zoom to Facebook & YouTube Without Using An Encoder o...Hack#38 - How to Stream Zoom to Facebook & YouTube Without Using An Encoder o...
Hack#38 - How to Stream Zoom to Facebook & YouTube Without Using An Encoder o...
 
Hack#37 - How to simultaneously live stream to 4 sites using a single hardwar...
Hack#37 - How to simultaneously live stream to 4 sites using a single hardwar...Hack#37 - How to simultaneously live stream to 4 sites using a single hardwar...
Hack#37 - How to simultaneously live stream to 4 sites using a single hardwar...
 
Cochran Mantel Haenszel Test with Breslow-Day Test & Quadratic Equation
Cochran Mantel Haenszel Test with Breslow-Day Test & Quadratic EquationCochran Mantel Haenszel Test with Breslow-Day Test & Quadratic Equation
Cochran Mantel Haenszel Test with Breslow-Day Test & Quadratic Equation
 
New Emerging And Reemerging Infections circa 2006
New Emerging And Reemerging Infections circa 2006New Emerging And Reemerging Infections circa 2006
New Emerging And Reemerging Infections circa 2006
 
Hacks#36 -Raspberry Pi 4 Mini Computer
Hacks#36 -Raspberry Pi 4 Mini ComputerHacks#36 -Raspberry Pi 4 Mini Computer
Hacks#36 -Raspberry Pi 4 Mini Computer
 
Hack#35 How to FB Live using a Video Encoder
Hack#35 How to FB Live using a Video EncoderHack#35 How to FB Live using a Video Encoder
Hack#35 How to FB Live using a Video Encoder
 
Hack#34 - Online Teaching with Microsoft Teams
Hack#34 - Online Teaching with Microsoft TeamsHack#34 - Online Teaching with Microsoft Teams
Hack#34 - Online Teaching with Microsoft Teams
 
Hack#33 How To FB-Live
Hack#33 How To FB-LiveHack#33 How To FB-Live
Hack#33 How To FB-Live
 
Skype for Business for UKM
Skype for Business for UKM Skype for Business for UKM
Skype for Business for UKM
 
Introduction to Structural Equation Modeling
Introduction to Structural Equation ModelingIntroduction to Structural Equation Modeling
Introduction to Structural Equation Modeling
 
Safe computing (circa 2004)
Safe computing (circa 2004)Safe computing (circa 2004)
Safe computing (circa 2004)
 

Último

PNEUMOTHORAX AND ITS MANAGEMENTS.pdf
PNEUMOTHORAX   AND  ITS  MANAGEMENTS.pdfPNEUMOTHORAX   AND  ITS  MANAGEMENTS.pdf
PNEUMOTHORAX AND ITS MANAGEMENTS.pdfDolisha Warbi
 
History and Development of Pharmacovigilence.pdf
History and Development of Pharmacovigilence.pdfHistory and Development of Pharmacovigilence.pdf
History and Development of Pharmacovigilence.pdfSasikiranMarri
 
Informed Consent Empowering Healthcare Decision-Making.pptx
Informed Consent Empowering Healthcare Decision-Making.pptxInformed Consent Empowering Healthcare Decision-Making.pptx
Informed Consent Empowering Healthcare Decision-Making.pptxSasikiranMarri
 
April 2024 ONCOLOGY CARTOON by DR KANHU CHARAN PATRO
April 2024 ONCOLOGY CARTOON by  DR KANHU CHARAN PATROApril 2024 ONCOLOGY CARTOON by  DR KANHU CHARAN PATRO
April 2024 ONCOLOGY CARTOON by DR KANHU CHARAN PATROKanhu Charan
 
call girls in green park DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in green park  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️call girls in green park  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in green park DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️saminamagar
 
Let's Talk About It: To Disclose or Not to Disclose?
Let's Talk About It: To Disclose or Not to Disclose?Let's Talk About It: To Disclose or Not to Disclose?
Let's Talk About It: To Disclose or Not to Disclose?bkling
 
Big Data Analysis Suggests COVID Vaccination Increases Excess Mortality Of ...
Big Data Analysis Suggests COVID  Vaccination Increases Excess Mortality Of  ...Big Data Analysis Suggests COVID  Vaccination Increases Excess Mortality Of  ...
Big Data Analysis Suggests COVID Vaccination Increases Excess Mortality Of ...sdateam0
 
PULMONARY EMBOLISM AND ITS MANAGEMENTS.pdf
PULMONARY EMBOLISM AND ITS MANAGEMENTS.pdfPULMONARY EMBOLISM AND ITS MANAGEMENTS.pdf
PULMONARY EMBOLISM AND ITS MANAGEMENTS.pdfDolisha Warbi
 
Glomerular Filtration and determinants of glomerular filtration .pptx
Glomerular Filtration and  determinants of glomerular filtration .pptxGlomerular Filtration and  determinants of glomerular filtration .pptx
Glomerular Filtration and determinants of glomerular filtration .pptxDr.Nusrat Tariq
 
LUNG TUMORS AND ITS CLASSIFICATIONS.pdf
LUNG TUMORS AND ITS  CLASSIFICATIONS.pdfLUNG TUMORS AND ITS  CLASSIFICATIONS.pdf
LUNG TUMORS AND ITS CLASSIFICATIONS.pdfDolisha Warbi
 
PERFECT BUT PAINFUL TKR -ROLE OF SYNOVECTOMY.pptx
PERFECT BUT PAINFUL TKR -ROLE OF SYNOVECTOMY.pptxPERFECT BUT PAINFUL TKR -ROLE OF SYNOVECTOMY.pptx
PERFECT BUT PAINFUL TKR -ROLE OF SYNOVECTOMY.pptxdrashraf369
 
call girls in aerocity DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in aerocity DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️call girls in aerocity DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in aerocity DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️saminamagar
 
METHODS OF ACQUIRING KNOWLEDGE IN NURSING.pptx by navdeep kaur
METHODS OF ACQUIRING KNOWLEDGE IN NURSING.pptx by navdeep kaurMETHODS OF ACQUIRING KNOWLEDGE IN NURSING.pptx by navdeep kaur
METHODS OF ACQUIRING KNOWLEDGE IN NURSING.pptx by navdeep kaurNavdeep Kaur
 
call girls in Connaught Place DELHI 🔝 >༒9540349809 🔝 genuine Escort Service ...
call girls in Connaught Place  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service ...call girls in Connaught Place  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service ...
call girls in Connaught Place DELHI 🔝 >༒9540349809 🔝 genuine Escort Service ...saminamagar
 
Statistical modeling in pharmaceutical research and development.
Statistical modeling in pharmaceutical research and development.Statistical modeling in pharmaceutical research and development.
Statistical modeling in pharmaceutical research and development.ANJALI
 
SYNDESMOTIC INJURY- ANATOMICAL REPAIR.pptx
SYNDESMOTIC INJURY- ANATOMICAL REPAIR.pptxSYNDESMOTIC INJURY- ANATOMICAL REPAIR.pptx
SYNDESMOTIC INJURY- ANATOMICAL REPAIR.pptxdrashraf369
 
97111 47426 Call Girls In Delhi MUNIRKAA
97111 47426 Call Girls In Delhi MUNIRKAA97111 47426 Call Girls In Delhi MUNIRKAA
97111 47426 Call Girls In Delhi MUNIRKAAjennyeacort
 
Presentation on General Anesthetics pdf.
Presentation on General Anesthetics pdf.Presentation on General Anesthetics pdf.
Presentation on General Anesthetics pdf.Prerana Jadhav
 
Culture and Health Disorders Social change.pptx
Culture and Health Disorders Social change.pptxCulture and Health Disorders Social change.pptx
Culture and Health Disorders Social change.pptxDr. Dheeraj Kumar
 
call girls in munirka DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in munirka  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️call girls in munirka  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in munirka DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️saminamagar
 

Último (20)

PNEUMOTHORAX AND ITS MANAGEMENTS.pdf
PNEUMOTHORAX   AND  ITS  MANAGEMENTS.pdfPNEUMOTHORAX   AND  ITS  MANAGEMENTS.pdf
PNEUMOTHORAX AND ITS MANAGEMENTS.pdf
 
History and Development of Pharmacovigilence.pdf
History and Development of Pharmacovigilence.pdfHistory and Development of Pharmacovigilence.pdf
History and Development of Pharmacovigilence.pdf
 
Informed Consent Empowering Healthcare Decision-Making.pptx
Informed Consent Empowering Healthcare Decision-Making.pptxInformed Consent Empowering Healthcare Decision-Making.pptx
Informed Consent Empowering Healthcare Decision-Making.pptx
 
April 2024 ONCOLOGY CARTOON by DR KANHU CHARAN PATRO
April 2024 ONCOLOGY CARTOON by  DR KANHU CHARAN PATROApril 2024 ONCOLOGY CARTOON by  DR KANHU CHARAN PATRO
April 2024 ONCOLOGY CARTOON by DR KANHU CHARAN PATRO
 
call girls in green park DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in green park  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️call girls in green park  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in green park DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
 
Let's Talk About It: To Disclose or Not to Disclose?
Let's Talk About It: To Disclose or Not to Disclose?Let's Talk About It: To Disclose or Not to Disclose?
Let's Talk About It: To Disclose or Not to Disclose?
 
Big Data Analysis Suggests COVID Vaccination Increases Excess Mortality Of ...
Big Data Analysis Suggests COVID  Vaccination Increases Excess Mortality Of  ...Big Data Analysis Suggests COVID  Vaccination Increases Excess Mortality Of  ...
Big Data Analysis Suggests COVID Vaccination Increases Excess Mortality Of ...
 
PULMONARY EMBOLISM AND ITS MANAGEMENTS.pdf
PULMONARY EMBOLISM AND ITS MANAGEMENTS.pdfPULMONARY EMBOLISM AND ITS MANAGEMENTS.pdf
PULMONARY EMBOLISM AND ITS MANAGEMENTS.pdf
 
Glomerular Filtration and determinants of glomerular filtration .pptx
Glomerular Filtration and  determinants of glomerular filtration .pptxGlomerular Filtration and  determinants of glomerular filtration .pptx
Glomerular Filtration and determinants of glomerular filtration .pptx
 
LUNG TUMORS AND ITS CLASSIFICATIONS.pdf
LUNG TUMORS AND ITS  CLASSIFICATIONS.pdfLUNG TUMORS AND ITS  CLASSIFICATIONS.pdf
LUNG TUMORS AND ITS CLASSIFICATIONS.pdf
 
PERFECT BUT PAINFUL TKR -ROLE OF SYNOVECTOMY.pptx
PERFECT BUT PAINFUL TKR -ROLE OF SYNOVECTOMY.pptxPERFECT BUT PAINFUL TKR -ROLE OF SYNOVECTOMY.pptx
PERFECT BUT PAINFUL TKR -ROLE OF SYNOVECTOMY.pptx
 
call girls in aerocity DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in aerocity DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️call girls in aerocity DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in aerocity DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
 
METHODS OF ACQUIRING KNOWLEDGE IN NURSING.pptx by navdeep kaur
METHODS OF ACQUIRING KNOWLEDGE IN NURSING.pptx by navdeep kaurMETHODS OF ACQUIRING KNOWLEDGE IN NURSING.pptx by navdeep kaur
METHODS OF ACQUIRING KNOWLEDGE IN NURSING.pptx by navdeep kaur
 
call girls in Connaught Place DELHI 🔝 >༒9540349809 🔝 genuine Escort Service ...
call girls in Connaught Place  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service ...call girls in Connaught Place  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service ...
call girls in Connaught Place DELHI 🔝 >༒9540349809 🔝 genuine Escort Service ...
 
Statistical modeling in pharmaceutical research and development.
Statistical modeling in pharmaceutical research and development.Statistical modeling in pharmaceutical research and development.
Statistical modeling in pharmaceutical research and development.
 
SYNDESMOTIC INJURY- ANATOMICAL REPAIR.pptx
SYNDESMOTIC INJURY- ANATOMICAL REPAIR.pptxSYNDESMOTIC INJURY- ANATOMICAL REPAIR.pptx
SYNDESMOTIC INJURY- ANATOMICAL REPAIR.pptx
 
97111 47426 Call Girls In Delhi MUNIRKAA
97111 47426 Call Girls In Delhi MUNIRKAA97111 47426 Call Girls In Delhi MUNIRKAA
97111 47426 Call Girls In Delhi MUNIRKAA
 
Presentation on General Anesthetics pdf.
Presentation on General Anesthetics pdf.Presentation on General Anesthetics pdf.
Presentation on General Anesthetics pdf.
 
Culture and Health Disorders Social change.pptx
Culture and Health Disorders Social change.pptxCulture and Health Disorders Social change.pptx
Culture and Health Disorders Social change.pptx
 
call girls in munirka DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in munirka  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️call girls in munirka  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in munirka DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
 

Student's t-test

  • 1. Dr Azmi Mohd Tamil Normally distributed data Comparison between 2 groups Student’s T-Test 1 drtamil@gmail.com 2015
  • 2. Concept drtamil@gmail.com 20152  Basically we are comparing the mean of the outcome (as measured in continuous data) among the treated against the mean of the outcome among the control.  If the treatment is effective, we would expect those treated to have a significantly higher (“causative”) or lower (“protective”) mean of the outcome compared to those in the control group. n Mean HDL S.D. Fish Oil + 30 1.4767 0.45549 Control - 30 1.2593 0.44488
  • 3. Research Question  Will those treated with fish oil supplement have a higher level of HDL compared to control group?  If it is true that fish oil is good for you, then we expect a significantly higher level of HDL among those treated with fish oil group (1.48+0.46) compared to the control group (1.26+0.44).  Student’s t-test will test whether the HDL mean among treated group (1.48) is significantly higher than the HDL mean of control group (1.26). 3 drtamil@gmail.com 2015 n Mean HDL S.D. Fish Oil + 30 1.4767 0.45549 Control - 30 1.2593 0.44488
  • 4. Null hypothesis  Null hypothesis assumes that there is no association between fish oil usage and HDL level. As though taking fish oil has no effect on the HDL level.  If taking fish oil has no effect on HDL, then there should be no difference of mean of HDL level between treatment and control groups.  The statistical test conducted is to decide whether or not to reject the null hypothesis. So if the mean HDL level of treatment group is significantly different than the mean HDL of control group, null hypothesis is rejected. 4 drtamil@gmail.com 2015
  • 5. Significance  We expect better HDL level among the treated group, compared to the control group. The better the improvement, the larger is the mean difference between the two groups.  The larger the difference, the more significant is the p value.  The bigger the mean difference, the bigger is the t value, therefore the smaller is the p value, therefore more likely to be significant.  The smaller the variance, the smaller is the p value.
  • 6. Significance  The larger the difference, the more significant is the p value. But here the difference is only 0.2174, which is even smaller than the standard deviation (0.45549 & 0.44488)  The small mean difference, and the large standard deviation/variance will lead to a smaller t value, therefore larger p value, therefore more likely to be insignificant. n Mean HDL S.D. Fish Oil + 30 1.4767 0.45549 Control - 30 1.2593 0.44488
  • 7. Example:  t = (1.4767 – 1.2593)_____ (0.455492/30 + 0.444882/30)0.5  t = 0.2174/0.1162=1.870  df = (30-1)+(30-1) = 58  Critical value for df = 60 for p=0.05 is 2.00,  Critical value for df = 40 for p=0.05 is 2.02,  The calculated t is smaller than the critical value, therefore the null hypothesis is NOT REJECTED.  Conclusion: Although the treated group HDL level is slightly higher (1.48+0.46) compared to the control group (1.26+0.44), the difference is not statistically significant (p>0.05)  Hint: Memorise critical value of 1.96 for df=infinity.7 drtamil@gmail.com 2015
  • 8. Refer to Table A3. We don’t have df=58, so we use df=40 instead. Calculated t = 1.870 < 2.02 If t=2.02, p=0.05 Therefore if t=1.870, p>0.05.
  • 9. As analysed by SPSS drtamil@gmail.com 20159
  • 10. Summary drtamil@gmail.com 201510  Hypothesis – those treated with fish oil supplement have a higher level of HDL compared to control group.  Null hypothesis  No difference of mean of HDL level between treatment and control groups, or;  There is no association between fish oil treatment and HDL level.  Suitable statistical test – Student’s t-test (compare mean between 2 groups, n=60-assume normally distributed data).
  • 11. Summary drtamil@gmail.com 201511  Calculation;  t = (1.4767 – 1.2593)_____ (0.455492/30 + 0.444882/30)0.5 = 0.2174/0.1162=1.870  df = (30-1)+(30-1) = 58  p > 0.05  Null hypothesis NOT REJECTED because p > 0.05  Conclusion:  Although the treated group HDL level is slightly higher (1.48+0.46) compared to the control group (1.26+0.44), the difference is not statistically significant (p>0.05); or  There is no association between fish oil usage and HDL level.